Google

Tags: Tech
Google
4.4
Google Logo
125732
Google’s mission is to organize the world‘s information and make it universally accessible and useful.
Would you work here?
Culture & Value: 84%
Senior Leadership: 76%
Salary & Benefits: 86%
Career Growth: 82%
Work / Life Balance: 82%
Recommended: 87%
Featured Review
Great balance between big-company security and fun, fast-moving projects

Pros: * If you're a software engineer, you're among the kings of the hill at Google. It's an engineer-driven company without a doubt (that *is* changing, but it's still very engineer-focused). * The perks are amazing. Yes, free breakfast, lunch, an dinner every weekday. Aaaaaamazing holiday parties (at Waldorf Astoria, NY Public Library, MoMA, etc.); overnight ski trips to Vermont; overnight nature trips to the Poconos in the summer; summer picnics at Chelsea piers; and on and on and on. I don't see this going away unless the company starts hurting financially. * Speaking of which, the company is doing quite well, which reflects in bonuses and equity grants. * There a huge diversity of work ranging from defending independent journalism worldwide (Google Project Shield) to crisis response during disasters (see Maps during Hurricane Sandy or Tsunamis), to the best machine learning experts and projects in the world, to more mundane revenue-driving projects in advertising, there's really something for everybody. * It's easy to move around within the company as long as you're in good standing (the vast majority of engineers are). * The company is amazingly open: every week Larry Page and Sergey Brin host what's called TGIF where food, beer, wine, etc. is served, a new project is presented, and afterward there's an open forum to ask the executives anything you want. It's truly fair game to ask anything, no matter how controversial, and frequently the executives will be responsive. * No, nobody cares if you use an iPhone, Facebook, shop with Amazon, stream using Spotify, or refuse to use Google+. The company is amazingly open and flexible. Neither pro nor con, but general information on work-life balance, promotions, and advancement. * Work life balance can be what you want it to be on most teams. (Some teams are in more competitive sectors and require more crazy hours all the time - but very few of them). If you do what's expected, you'll be fine at least for a handful of years. Working a roughly 40 hour work week is possible, and many people do it. There are also people who are hyper-motived and work like crazy just because they love it, or because they're competitive, or they want to get a promotion. If you work 40 hour weeks without putting in anything extra, you'll fall behind them as they advance and you stand still - and maybe that doesn't matter, so it works out for everybody. But at least know where you would realistically stand. * If you excel and work your butt off, you'll be compensated and promoted. If you let yourself be a code monkey, and just sit coding with your head down all day, you'll be fine but won't advance. A big complaint from some Googlers is about not being able to advance "even at Google" with pure coding. Sure, if you're the uber genius who created MapReduce and Bigtable, you're going to advance like a rocket without having to do anything but coding; but if you're like most engineers at Google -- smarter than average, but just average compared to other Googlers -- you're just a good coder and not revolutionary. Code monkeys are important to actually get stuff done, and to be sure you absolutely need to be a good coder as a software engineer (it's the minimum requirement), but code monkeys won't advance because they're not leaders and they're easy to replace. To get promoted you need to lead and do more than just code. There are plenty of ways to lead other than being an official tech lead, so this isn't actually _that_ hard, so the real point is just that you can't just sit there coding what other people tell you to code all day and expect to advance.

Cons: * It *is* becoming larger, and with it comes growing pains: bureaucracy, slow to respond to market threats, bloated teams, cross-divisional tension (though nothing remotely approaching that of Microsoft's internal tension). * The quality of the engineers is possibly dropping, but possibly not. It's hard to get real metrics, because as the absolute number of people grows, naturally the number of bad apples grows; as a percentage it's supposedly the same as it ever was, but with larger numbers of poorer quality engineers it just _feels_ like things might be changing for the worse. * Also with growth means more internal-confidential data leaks (again, because of the raw numbers of people) -- product announcements being ruined, etc. That means the company has to be tighter-lipped internally to avoid leaks, which makes things less open. It's still an amazingly open place, but less so than it was even a couple years ago. The good thing is they recognize it and actively look to improve things because they know how important it is to keep the good culture.

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  • WE BELIEVE IN A WORLD WHERE ALL IDEAS HAVE THE OPPORTUNITY TO SUCCEED.

    Black Girl Ventures works to create access to capital for Black and Brown women founders. The BGV Pitch Competition flips the traditional pitch competition on its head: we allow the audience to donate, eliminate the panel of judges, and empower the community (audience) to ask questions and vote for the winner. Donations are optional. Our partners include Google Cloud for Startups, Google Digital Coaches, and BICTech

    How does this work?

    • RSVP

    • Attend the event. 

    • Listen to dynamic women pitch their businesses. 


    • Vote with your dollars. Donate from $5+ to the idea you favor. Your donations go to the women!

    • All 8 women receive seed funding and/or resources for their business based on your donations.  


    The first place winner will receive over $5,000 in cash and prizes including:

    • Black Girl Ventures Grant (funds raised at the competition)

    • A meeting with an investor

    • A consultation with an accountant

    • Coaching with Shelly Bell

    • A podcast interview on The Brave Files PodcastCoaching from professional consultants from BICTech (Blacks in Consulting and Technology, a consortium of consultants from firms such as Deloitte, Ernst & Young, Booz Allen Hamilton, PWC, etc.

    Pitch participants must identify as women and Black or Brown. However,  audience participation is NOT specific to race, gender, creed or identity. Apply to pitch.


    Light food and drinks will be served. [Please bring a valid ID]

    This event is open to the public.  

    We believe that the future of inclusion is NOT to create more silos, but that we can be leaders for Black/Brown women and everyone can help us do that. Everyone can cheer on and advocate for women founders at BGV!

    Even if you're unavailable to attend you can support women entrepreneurs by donating. The Black Girl Ventures Foundation is a 501(c)(3) organization. All donations are charitable donations. 

    Please note: There will be photography and videography at this event for promotional purposes. Your RSVP is an acknowledgment of photography and videography. 

    Got questions? We have answers! Email us at contact@blackgirlventures.org.

    View Event
  • Architecting with Google Compute Engine

    (3 days)

     

    This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

    Objectives

    This course teaches participants the following skills:

    • Consider the entire range of Google Cloud Platform technologies in their plans
    • Learn methods to develop, implement, and deploy solutions
    • Distinguish between features of similar or related products and technologies
    • Recognize a wide variety of solution domains, use cases, and applications
    • Develop essential skills for managing and administering solutions
    • Develop knowledge of solution patterns—methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

    Audience

    This class is intended for experienced developers who are responsible for managing big data transformations including:

    • Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers
    • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform

    Prerequisites

    To get the most out of this course, participants should have:

    • Completed Google Cloud Platform Fundamentals or have equivalent experience
    • Basic proficiency with command-line tools and Linux operating system environments
    • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment


    Course Outline

     

    Module 1: Introduction to Google Cloud Platform

    • Role of the Cloud Architect
    • Learn about Solution Domains as an approach to design
    • Lab: Console and Cloudshell
    • Lab: Projects
    • Lab: Infrastructure Preview

    Module 2: Virtual Networks

    • Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
    • Subnetworks for resource management instead of physical network topology
    • Lab: Virtual Networking
    • Lab: Bastion Host

    Module 3: Virtual Machines

    • GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
    • Lab: Creating Virtual Machines
    • Lab: Working with Virtual Machines

    Module 4: Cloud IAM

    • Members, roles, organizations, account administration, service accounts
    • Lab: Cloud IAM

    Module 5: Data Storage Services

    • Cloud Storage, Datastore, Bigtable, Cloud SQL
    • Lab: Cloud Storage
    • Lab: Cloud SQL
    • Lab: Cloud Datastore

    Module 6: Resource Management

    • Billing, Quotas, Labels, Names, Cloud Resource Manager
    • Lab: Billing Administration
    • Lab: Examining Billing Data and BigQuery

    Module 7: Resource Monitoring

    • Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
    • Lab: Resource Monitoring (Stackdriver)
    • Lab: Error Reporting and Debugging (Stackdriver)

    Module 8: Interconnecting Networks

    • VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
    • Lab: Virtual Private Networks (VPN)
    • Lab: Dynamic VPN with Cloud Routers

    Module 9: Load Balancing

    • Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
    • Lab: VM Automation and Load Balancing

     Module 10: Autoscaling

    • Autoscaler
    • Lab: Autoscaling

    Module 11: Infrastructure Automation with Cloud API

    • Infrastructure automation, custom images, startup and shutdown scripts and metadata
    • Lab: Cloud API Infrastructure Automation


    Module 12: Infrastructure Automation with Deployment Manager

    • Deployment Manager templates
    • Lab: Deployment Manager

    Module 13: Managed Services

    • Dataproc, Dataflow, BigQuery, Datalab

    Module 14: Application Development Infrastructure

    • Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions

    Module 15: Application Development Services

    • Google App Engine (GAE), Dev Tools, Cloud Source Repos.
    • Lab: App Engine Development

    Module 16: Containers

    • Containers, Google Container Engine (GKE), and Container Registry.
    • Lab: Kubernetes Load Balancing
    View Event
  • Architecting with Google Compute Engine

    (3 days)

     

    This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

    Objectives

    This course teaches participants the following skills:

    • Consider the entire range of Google Cloud Platform technologies in their plans
    • Learn methods to develop, implement, and deploy solutions
    • Distinguish between features of similar or related products and technologies
    • Recognize a wide variety of solution domains, use cases, and applications
    • Develop essential skills for managing and administering solutions
    • Develop knowledge of solution patterns—methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

    Audience

    This class is intended for experienced developers who are responsible for managing big data transformations including:

    • Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers
    • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform

    Prerequisites

    To get the most out of this course, participants should have:

    • Completed Google Cloud Platform Fundamentals or have equivalent experience
    • Basic proficiency with command-line tools and Linux operating system environments
    • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment


    Course Outline

     

    Module 1: Introduction to Google Cloud Platform

    • Role of the Cloud Architect
    • Learn about Solution Domains as an approach to design
    • Lab: Console and Cloudshell
    • Lab: Projects
    • Lab: Infrastructure Preview

    Module 2: Virtual Networks

    • Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
    • Subnetworks for resource management instead of physical network topology
    • Lab: Virtual Networking
    • Lab: Bastion Host

    Module 3: Virtual Machines

    • GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
    • Lab: Creating Virtual Machines
    • Lab: Working with Virtual Machines

    Module 4: Cloud IAM

    • Members, roles, organizations, account administration, service accounts
    • Lab: Cloud IAM

    Module 5: Data Storage Services

    • Cloud Storage, Datastore, Bigtable, Cloud SQL
    • Lab: Cloud Storage
    • Lab: Cloud SQL
    • Lab: Cloud Datastore

    Module 6: Resource Management

    • Billing, Quotas, Labels, Names, Cloud Resource Manager
    • Lab: Billing Administration
    • Lab: Examining Billing Data and BigQuery

    Module 7: Resource Monitoring

    • Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
    • Lab: Resource Monitoring (Stackdriver)
    • Lab: Error Reporting and Debugging (Stackdriver)

    Module 8: Interconnecting Networks

    • VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
    • Lab: Virtual Private Networks (VPN)
    • Lab: Dynamic VPN with Cloud Routers

    Module 9: Load Balancing

    • Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
    • Lab: VM Automation and Load Balancing

     Module 10: Autoscaling

    • Autoscaler
    • Lab: Autoscaling

    Module 11: Infrastructure Automation with Cloud API

    • Infrastructure automation, custom images, startup and shutdown scripts and metadata
    • Lab: Cloud API Infrastructure Automation


    Module 12: Infrastructure Automation with Deployment Manager

    • Deployment Manager templates
    • Lab: Deployment Manager

    Module 13: Managed Services

    • Dataproc, Dataflow, BigQuery, Datalab

    Module 14: Application Development Infrastructure

    • Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions

    Module 15: Application Development Services

    • Google App Engine (GAE), Dev Tools, Cloud Source Repos.
    • Lab: App Engine Development

    Module 16: Containers

    • Containers, Google Container Engine (GKE), and Container Registry.
    • Lab: Kubernetes Load Balancing
    View Event
  • In partnership with Google, Bleevit Interactive is hosting a free digital productivity lunch-and-learn and livestream to help get small businesses working smarter, not harder. The livestream workshop topic: Get Productive with Google’s Digital Tools, focuses on how digital solutions can streamline organization, collaboration, time management, marketing and operations for entire companies.

    As a certified Google Partner, Bleevit Interactive will offer tips and tricks for most effective use of Google’s digital tools and their potential. Bleevit Interactive will also offer insight into additional cloud-based business solutions that integrate fully with Google, tools that continue to enhance Bleevit’s capabilities.

    Attendees will have the opportunity to network and eat lunch prior to the Grow with Google Partner-exclusive livestream viewing party, with designated time for a Q&A after the workshop concludes.

    Though the event is free, registration is required as space is limited. Complimentary lunch and beverages will be provided, along with free WiFi, parking and Google gear.

    Register at: http://bit.ly/2XsZPmA.


    View Event
  • We're offering three days of Google Analytics training, and workshops in Google Tag Manager! Visit our training page for info about the week or click on the links below for course-specific information.

    Sept 16, 2019
    Google Analytics 101
    Beginner

    Sept 17, 2019
    Google Analytics 201
    Intermediate

    Sept 18, 2019
    Google Analytics 301
    Advanced 


    Sept 19, 2019
    Google Tag Manager 101
    Intermediate

    View Event
  • Architecting with Google Cloud Platform: Design and Process

    (2 days)

     

    This​ ​two-day​ ​instructor-led​ ​class​ ​equips​ ​students​ ​to​ ​build​ ​highly​ ​reliable​ ​and​ ​efficient​ ​solutions​ ​on​ ​Google​ ​Cloud  Platform,​ ​using​ ​proven​ ​design​ ​patterns​ ​and​ ​the​ ​principles​ ​of​ ​Google​ ​Site​ ​Reliability​ ​Engineering​ ​(SRE).​ ​It​ ​is​ ​a  continuation​ ​of​ ​the​ ​​Architecting​ ​with​ ​Google​ ​Cloud​ ​Platform:​ ​Infrastructure​​ ​course​ ​and​ ​assumes​ ​hands-on  experience​ ​with​ ​the​ ​technologies​ ​covered​ ​in​ ​that​ ​course.  Through​ ​a​ ​combination​ ​of​ ​presentations,​ ​demos,​ ​and​ ​hands-on​ ​labs,​ ​participants​ ​learn​ ​to​ ​design​ ​GCP​ ​deployments  that​ ​are​ ​highly​ ​reliable​ ​and​ ​secure;​ ​and​ ​how​ ​to​ ​operate​ ​GCP​ ​deployments​ ​in​ ​a​ ​highly​ ​available​ ​and​ ​cost-effective  manner. A personal laptop is required for all workshops and will not be provided.

     

    Objectives

    This course teaches participants the following skills:

    • Design for high availability, scalability, and maintainability
    • Assess tradeoffs and make sound choices among Google Cloud Platform products
    • Integrate on-premises and cloud resources
    • Identify ways to optimize resources and minimize cost
    • Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis
    • Implement policies that minimize security risks, such as auditing, separation of duties and least privilege
    • Implement technologies and processes that assure business continuity in the event of a disaster

    Audience

    This class is intended for the following participants:

    • Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers
    • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform

    Prerequisites

    To get the most out of this course, participants should have:

    • Completed Architecting with Google Cloud Platform: Infrastructure or equivalent experience
    • Basic proficiency with command-line tools and Linux operating system environments
    • Systems​ ​Operations​ ​experience​ ​including​ ​deploying​ ​and​ ​managing​ ​applications,​ ​either​ ​on-premises​ ​or​ ​in​ ​a​ ​public​ ​cloud  environment

    Course Outline

     

    Module 1: Defining the Service

    • Design​ ​in​ ​this​ ​class
    • State​ ​and​ ​solution
    • Measurement
    • Gathering​ ​requirements,​ ​SLOs,​ ​SLAs,​ ​and​ ​SLIs​ ​(key​ ​performance  indicators)

    Module 2: Business-Logic Layer Design

    • Microservices​ ​architecture
    • GCP​ ​12-factor​ ​support
    • Mapping​ ​compute​ ​needs​ ​to​ ​Google​ ​Cloud​ ​Platform​ ​processing  services
    • Compute​ ​system​ ​provisioning

    Module 3: Data Layer Design

    • Classifying and characterizing data
    • Data​ ​ingest​ ​and​ ​data​ ​migration
    • Identification​ ​of​ ​storage​ ​needs​ ​and​ ​mapping​ ​to​ ​Google​ ​Cloud  Platform​ ​storage​ ​systems

    Module 4: Presentation Network Design

    • Network​ ​edge​ ​configuration
    • Network​ ​configuration​ ​for​ ​data​ ​transfer​ ​within​ ​the​ ​service,​ ​including  load​ ​balancing​ ​and​ ​network​ ​location
    • Network​ ​integration​ ​with​ ​other​ ​environments,​ ​including​ ​on​ ​premise  and​ ​multi-cloud

    Module 5: Design for Scalability, Resiliency, and Disaster Recovery

    • Failure due to loss of resources
    • Failure due to overload
    • Strategies for coping with failure
    • Business​ ​continuity​ ​and​ ​disaster​ ​recovery,​ ​including​ ​restore​ ​strategy  and​ ​data​ ​life-cycle​ ​management
    • Scalable​ ​and​ ​resilient​ ​design

    Module 6: Design for Security

    • Google​ ​Cloud​ ​Platform​ ​security
    • Network​ ​access​ ​control​ ​and​ ​firewalls
    • Protections​ ​against​ ​denial​ ​of​ ​service
    • Data encryption and key management
    • Resource​ ​sharing​ ​and​ ​isolation
    • Identity​ ​access​ ​and​ ​auditing

    Module 7: Cost Optimization and Capacity Planning 

    • Capacity Planning
    • Pricing

    Module 8: Deployment, Monitoring and Alerting, and Incident Response

    • Deployment
    • Monitoring and alerting
    • Incident response
    View Event
  • Data Engineering on Google Cloud Platform

    (4 days)

     

    This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. A personal laptop is required for all workshops and will not be provided.

    Objectives

    This course teaches participants the following skills:

    • Design and build data processing systems on Google Cloud Platform
    • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
    • Derive business insights from extremely large datasets using Google BigQuery
    • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
    • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
    • Enable instant insights from streaming data

    Audience

    This class is intended for experienced developers who are responsible for managing big data transformations including:

    • Extracting, Loading, Transforming, cleaning, and validating data
    • Designing pipelines and architectures for data processing
    • Creating and maintaining machine learning and statistical models
    • Querying datasets, visualizing query results and creating reports

    Prerequisites

    To get the most of out of this course, participants should have:

    • Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience
    • Basic proficiency with common query language such as SQL
    • Experience with data modeling, extract, transform, load activities Developing applications using a common programming language such Python
    • Familiarity with Machine Learning and/or statistics

     


    Course Outline

     

    Module 1: Google Cloud Dataproc Overview

    • Creating and managing clusters.
    • Leveraging custom machine types and preemptible worker nodes.
    • Scaling and deleting Clusters.
    • Lab: Creating Hadoop Clusters with Google Cloud Dataproc.

    Module 2: Running Dataproc Jobs

    • Running Pig and Hive jobs.
    • Separation of storage and compute.
    • Lab: Running Hadoop and Spark Jobs with Dataproc.
    • Lab: Submit and monitor jobs.

    Module 3: Integrating Dataproc with Google Cloud Platform

    • Customize cluster with initialization actions.
    • BigQuery Support.
    • Lab: Leveraging Google Cloud Platform Services.

    Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs

    • Google’s Machine Learning APIs.
    • Common ML Use Cases.
    • Invoking ML APIs.
    • Lab: Adding Machine Learning Capabilities to Big Data Analysis.

    Module 5: Serverless data analysis with BigQuery

    • What is BigQuery.
    • Queries and Functions.
    • Lab: Writing queries in BigQuery.
    • Loading data into BigQuery.
    • Exporting data from BigQuery.
    • Lab: Loading and exporting data.
    • Nested and repeated fields.
    • Querying multiple tables.
    • Lab: Complex queries.
    • Performance and pricing.

    Module 6: Serverless, autoscaling data pipelines with Dataflow

    • The Beam programming model.
    • Data pipelines in Beam Python.
    • Data pipelines in Beam Java.
    • Lab: Writing a Dataflow pipeline.
    • Scalable Big Data processing using Beam.
    • Lab: MapReduce in Dataflow.
    • Incorporating additional data.
    • Lab: Side inputs.
    • Handling stream data.
    • GCP Reference architecture.

    Module 7: Getting started with Machine Learning

    • What is machine learning (ML).
    • Effective ML: concepts, types.
    • ML datasets: generalization.
    • Lab: Explore and create ML datasets.

    Module 8: Building ML models with Tensorflow

    • Getting started with TensorFlow.
    • Lab: Using tf.learn.
    • TensorFlow graphs and loops + lab.
    • Lab: Using low-level TensorFlow + early stopping.
    • Monitoring ML training.
    • Lab: Charts and graphs of TensorFlow training.

    Module 9: Scaling ML models with CloudML

    • Why Cloud ML?
    • Packaging up a TensorFlow model.
    • End-to-end training.
    • Lab: Run a ML model locally and on cloud.

    Module 10: Feature Engineering

    • Creating good features.
    • Transforming inputs.
    • Synthetic features.
    • Preprocessing with Cloud ML.
    • Lab: Feature engineering.

    Module 11: Architecture of streaming analytics pipelines

    • Stream data processing: Challenges.
    • Handling variable data volumes.
    • Dealing with unordered/late data.
    • Lab: Designing streaming pipeline.

    Module 12: Ingesting Variable Volumes

    • What is Cloud Pub/Sub?
    • How it works: Topics and Subscriptions.
    • Lab: Simulator.

    Module 13: Implementing streaming pipelines

    • Challenges in stream processing.
    • Handle late data: watermarks, triggers, accumulation.
    • Lab: Stream data processing pipeline for live traffic data.

    Module 14: Streaming analytics and dashboards

    • Streaming analytics: from data to decisions.
    • Querying streaming data with BigQuery.
    • What is Google Data Studio?
    • Lab: build a real-time dashboard to visualize processed data.

    Module 15: High throughput and low-latency with Bigtable

    • What is Cloud Spanner?
    • Designing Bigtable schema.
    • Ingesting into Bigtable.
    • Lab: streaming into Bigtable.
    View Event
  • Data Engineering on Google Cloud Platform

    (4 days)

     

    This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. A personal laptop is required for all workshops and will not be provided.

    Objectives

    This course teaches participants the following skills:

    • Design and build data processing systems on Google Cloud Platform
    • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
    • Derive business insights from extremely large datasets using Google BigQuery
    • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
    • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
    • Enable instant insights from streaming data

    Audience

    This class is intended for experienced developers who are responsible for managing big data transformations including:

    • Extracting, Loading, Transforming, cleaning, and validating data
    • Designing pipelines and architectures for data processing
    • Creating and maintaining machine learning and statistical models
    • Querying datasets, visualizing query results and creating reports

    Prerequisites

    To get the most of out of this course, participants should have:

    • Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience
    • Basic proficiency with common query language such as SQL
    • Experience with data modeling, extract, transform, load activities Developing applications using a common programming language such Python
    • Familiarity with Machine Learning and/or statistics

     


    Course Outline

     

    Module 1: Google Cloud Dataproc Overview

    • Creating and managing clusters.
    • Leveraging custom machine types and preemptible worker nodes.
    • Scaling and deleting Clusters.
    • Lab: Creating Hadoop Clusters with Google Cloud Dataproc.

    Module 2: Running Dataproc Jobs

    • Running Pig and Hive jobs.
    • Separation of storage and compute.
    • Lab: Running Hadoop and Spark Jobs with Dataproc.
    • Lab: Submit and monitor jobs.

    Module 3: Integrating Dataproc with Google Cloud Platform

    • Customize cluster with initialization actions.
    • BigQuery Support.
    • Lab: Leveraging Google Cloud Platform Services.

    Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs

    • Google’s Machine Learning APIs.
    • Common ML Use Cases.
    • Invoking ML APIs.
    • Lab: Adding Machine Learning Capabilities to Big Data Analysis.

    Module 5: Serverless data analysis with BigQuery

    • What is BigQuery.
    • Queries and Functions.
    • Lab: Writing queries in BigQuery.
    • Loading data into BigQuery.
    • Exporting data from BigQuery.
    • Lab: Loading and exporting data.
    • Nested and repeated fields.
    • Querying multiple tables.
    • Lab: Complex queries.
    • Performance and pricing.

    Module 6: Serverless, autoscaling data pipelines with Dataflow

    • The Beam programming model.
    • Data pipelines in Beam Python.
    • Data pipelines in Beam Java.
    • Lab: Writing a Dataflow pipeline.
    • Scalable Big Data processing using Beam.
    • Lab: MapReduce in Dataflow.
    • Incorporating additional data.
    • Lab: Side inputs.
    • Handling stream data.
    • GCP Reference architecture.

    Module 7: Getting started with Machine Learning

    • What is machine learning (ML).
    • Effective ML: concepts, types.
    • ML datasets: generalization.
    • Lab: Explore and create ML datasets.

    Module 8: Building ML models with Tensorflow

    • Getting started with TensorFlow.
    • Lab: Using tf.learn.
    • TensorFlow graphs and loops + lab.
    • Lab: Using low-level TensorFlow + early stopping.
    • Monitoring ML training.
    • Lab: Charts and graphs of TensorFlow training.

    Module 9: Scaling ML models with CloudML

    • Why Cloud ML?
    • Packaging up a TensorFlow model.
    • End-to-end training.
    • Lab: Run a ML model locally and on cloud.

    Module 10: Feature Engineering

    • Creating good features.
    • Transforming inputs.
    • Synthetic features.
    • Preprocessing with Cloud ML.
    • Lab: Feature engineering.

    Module 11: Architecture of streaming analytics pipelines

    • Stream data processing: Challenges.
    • Handling variable data volumes.
    • Dealing with unordered/late data.
    • Lab: Designing streaming pipeline.

    Module 12: Ingesting Variable Volumes

    • What is Cloud Pub/Sub?
    • How it works: Topics and Subscriptions.
    • Lab: Simulator.

    Module 13: Implementing streaming pipelines

    • Challenges in stream processing.
    • Handle late data: watermarks, triggers, accumulation.
    • Lab: Stream data processing pipeline for live traffic data.

    Module 14: Streaming analytics and dashboards

    • Streaming analytics: from data to decisions.
    • Querying streaming data with BigQuery.
    • What is Google Data Studio?
    • Lab: build a real-time dashboard to visualize processed data.

    Module 15: High throughput and low-latency with Bigtable

    • What is Cloud Spanner?
    • Designing Bigtable schema.
    • Ingesting into Bigtable.
    • Lab: streaming into Bigtable.
    View Event
  • Class Description:

    This class will help teach you techniques that will help you get the best results from the Barcode and Google Online Object Recognition modes on the Cyber Eyez Gear VR. In this one hour session, students will learn all the techniques necessary to successfully scan barcodes and identify objects in their environment.

    Topics include:

    • Accessing and Using Online Object Recognition

    • Techniques and Tips for Object Recognition

    • Accessing and using the Cyber Eyez Barcode Scanner

    • Techniques and Tips for Barcode Scanning

    • 10 Minute Question and Answer Session

    If you have any questions or concerns please contact the Cyber Timez support team at.

    support@cybertimez.com

    (202) 827-6883 ext 2

    Class Length and Schedule:

    30 Minutes

    5m - Intro

    3m - Why do I need WiFi for Barcode and Object Recognition?

    1m - How do I access Barcode mode?

    5m - Practice rotate and capture in barcode mode

    1m - How do I access Google Online Object Recognition mode?

    5m - Practice capture in Google Online Object Recognition mode

    10m - Q and A. Also a great time go over troubleshooting and known issues.


    Class Curriculum:

    Why do I need WiFi for Barcode and Object Recognition?

    Cyber Eyez uses services provided by Google for barcode lookup and object identification. Our barcode scanner is powered by Google shopping on the backend so it recognizes over 100 million products right out of the box! But to reach Google, we need WiFi. The Google Online Object Recognition Mode uses the Google Vision API to analyze the picture and identify the objects in it. Google sends the information back to Cyber Eyez and reads it back. As Google’s object recognition gets better, so does Cyber Eyez.

    How do I access Barcode mode?

    With your Cyber Eyez Gear VR on, swipe up or down until you hear “Changed to Barcode Mode” and see the tile labeled Barcode Mode on the screen. Barcode mode is one swipe down from Microsoft Online Text Reader and one swipe up from Google Online Object Recognition.

    Practice rotate and capture in barcode mode

    During this time, encourage the students to find objects near them with a barcode on it. Have them put the object at a comfortable distance in front of the device with their left hand and long tap on the swipe pad to take a picture when the barcode is in frame. If the barcode is recognized the result will be read back in a few seconds depending on the WiFi network speed.

    How do I access Google Online Object Recognition mode?

    With your Cyber Eyez Gear VR on, swipe up or down until you hear “Changed to Google Online Object Recognition Mode” and see the tile labeled Google Online Object Recognition Mode on the screen. Google Online Object Recognition Mode is one swipe down from Barcode mode and one swipe up from Color assistant.

    Practice capture in Google Online Object Recognition mode

    During this time, encourage the students to look around their environment at different objects, rooms and scenarios and take pictures. Hold objects close, take distance pictures, pictures inside, outside, as many varieties as you can.

    Q&A

    10 minute questions and answer sessions at the end of the training to answer any of your Cyber Eyez barcode mode and Google online object recognition mode questions.



    Class Requirements:

    YOUR EMAIL MUST BE REGISTERED AS A CYBER TIMEZ CUSTOMER IN ORDER TO ATTEND THIS CLASS.

    This class will be broadcast through Google Hangouts and will also be available on YouTube live. Please make sure that before the start of the class that you have access to a device with a login that can successfully access Google Hangouts or YouTube live. You can find help on how to join Google Hangouts at the following link https://gsuite.google.com/learning-center/products/hangouts/get-started/#!/section-2 .


    By joining Google Hangouts you will be able to interact with us more versus just watching the class on YouTube live.


    Once you have successfully RSVP'd to the class you will be sent a Google Hangout and YouTube live link to your registered email address up to an hour before the class begins.


    The class will take up to an 30 minutes and it is strongly suggested that you have your Cyber Eyez Gear VR device with you and that the device is fully charged so that you can learn the skills as we teach them.


    If you would like to follow along with our class instructor with your own device please also have some items with barcodes available for captures during the training. Anything should work well including canned goods, bottled drinks, books and more.

    View Event
  • Class Description

    This class will help teach you techniques that will help you get the best results from the Bar Code and Object Recognition modes on the Cyber Eyez Vuzix M300. In this one hour session, students will learn all the techniques necessary to successfully scan barcodes and identify objects in their environment.

    Topics include:

    • Accessing and Using Cyber Eyez Offline Object Recognition

    • Accessing and Using Online Object Recognition

    • Techniques and Tips for Object Recognition

    • Accessing and using the Cyber Eyez Barcode Scanner

    • Techniques and Tips for Barcode Scanning

    • 15 Minute Question and Answer Session

    If you have any questions or concerns please contact the Cyber Timez support team at.

    support@cybertimez.com

    (202) 827-6883 ext 2

    Class Length and Schedule

    50 Minutes

    5m - Intro

    3m - Why do I need WiFi for Barcode and Object Recognition?

    1m - How do I access Barcode mode?

    15m - Practice rotate and capture in barcode mode

    1m - How do I access Google Online Object Recognition mode?

    15m - Practice capture in Google Online Object Recognition mode

    10m - Q and A. Also a great time go over troubleshooting and known issues.

    Class Curriculum

    Why do I need WiFi for Barcode and Object Recognition?

    Cyber Eyez uses services provided by Google for barcode lookup and object identification. Our barcode scanner is powered by Google shopping on the backend so it recognizes over 100 million products right out of the box! But to reach Google, we need WiFi. The Google Online Object Recognition Mode uses the Google Vision API to analyze the picture and identify the objects in it. Google sends the information back to Cyber Eyez and reads it back. As Google’s object recognition gets better, so does Cyber Eyez.

    How do I access Barcode mode?

    1. Long press #1 to bring up your menu

    2. Short press #1 until you hear Barcode mode

    3. Short press #3. You will hear, “Changed to Barcode Mode”

    Practice rotate and capture in barcode mode

    During this time, encourage the students to find objects near them with a barcode on it. Have them hold the object very close to the glasse and slowly pull it away. Cyber Eyez will search the image for barcodes automatically, so no need to take a picture. As soon as the barcode is recognized the result will be displayed on a web browser screen and read back in a few seconds depending on the WiFi network speed. To get back to Cyber Eyez, long press #3.

    How do I access Google Online Object Recognition mode?

    1. Long press #1 to bring up the menu

    2. Short press #1 until you hear “Object Recognition”

    3. Object Recognition has a sub-menu, so short press #3 to open the sub-menu.


    The first option is Offline Object Recognition mode. Short press #1 to scroll down to Google Online mode or Back to go back to the main menu. Short press #3 to select Google Online mode.

    Practice capture in Google Online Object Recognition mode

    During this time, encourage the students to look around their environment at different objects, rooms and scenarios and take pictures. Hold objects close, take distance pictures, pictures inside, outside, as many varieties as you can.

    Q&A

    10 minute questions and answer sessions at the end of the training to answer any of your Cyber Eyez barcode mode and Google online object recognition mode questions.

    Class Requirements

    YOUR EMAIL MUST BE REGISTERED AS A CYBER TIMEZ CUSTOMER IN ORDER TO ATTEND THIS CLASS.

    This class will be broadcast through Google Hangouts and will also be available on YouTube live. Please make sure that before the start of the class that you have access to a device with a login that can successfully access Google Hangouts or YouTube live. You can find help on how to join Google Hangouts at the following link https://gsuite.google.com/learning-center/products/hangouts/get-started/#!/section-2 .


    By joining Google Hangouts you will be able to interact with us more versus just watching the class on YouTube live.

    Once you have successfully RSVP'd to the class you will be sent a Google Hangout and YouTube live link to your registered email address up to an hour before the class begins.


    The class will take up to an hour and it is strongly suggested that you have your Cyber Eyez Vuzix M300 device with you and that the device is fully charged so that you can learn the skills as we teach them.


    If you would like to follow along with our class instructor with your own device please also have some items with barcodes available for captures during the training. Anything should work well including canned goods, bottled drinks, books and more.

    View Event

  • There is a brand new app for all you singles out there looking for Interracial relationships and dating in Washington, D.C.!   You will be meeting new people and making new friends.  If you're like me, then you have tried many of the popular dating apps, but what if there's one dating app focused on interracial dating in DC? Sounds great, doesn't it? Well, look no further than Mature DC's new dating app available on Google Play and on iPhone. So, don't wait to discover what makes this city so great. Find your soulmate on Mature DC!

    Good luck 

    www.maturedc.com

    View Event
  • Node, React, and Redux has quickly become the mainstream choices for the modern webstack. There are many resources out there to learn each of these areas but very few of them clearly show how to tie everything together into a working, live project. In this 2-day workshop, we will do exactly that - build an entire web application with React, Redux, Node JS/Express, Bootstrap and more.


    WHAT WE WILL BUILD

    Over the weekend, we will build a generic web app that supports the key functionality required in most modern websites today. It will have user registration/login with password encryption, image uploading, a REST API, Google Maps integration, search-by-location support, and automated email functionality. The key tools will include:

    • React
    • Redux
    • Node JS
    • Twilio
    • Bootstrap
    • Stripe for payments processing
    • Email notification
    • Google Maps, and Google Maps API

    This stack covers most of the key areas of a modern web application and brings together many interlocking pieces. 


    SCHEDULE

    • Saturday: 10am - 6pm
    • Sunday: 10am - 6pm


    WHO THIS IS FOR

    Students should have a understanding of JavaScript (ES6), REST API's and have a basic knowledge of React components. Due to the short timeframe, we will move quickly. However, the sessions will be video recorded so if you cannot keep up, you can review videos afterward.

     

    REQUIRED

    Please have a laptop (preferably a Mac) with Node JS and a standard text editor installed.

    View Event
  • Key Features:

    • 32 hours of online Live instructor led training
    • 100% Money Back Guarantee
    • Real-life case studies
    • Life time access to Learning Management System (LMS)
    • Practical Assignments
    • Certification: Towards the end of the course, you will be working on a project. You will be awarded AWS Architect Expert certificate based on the project.
    • 24/7 customer support

    About Android App Devevlopment Training

    Zillion Venture’s Android development online course is aligned with the Google’s certification curriculum. Google plans to train 2M android developers in next 3 years as the app ecosystem grows stronger with advances in IOT, mobile devices.

    What will you learn?

    Android App Development Certification training makes you understand:

    • Basic Android Development tools such as Android Studio, DDMS, Drawables, Listeners and Activity Lifecycle
    • How to use various Layouts and Widgets and Implementing Event Receivers in your android application
    • How to communicate between fragments and activities in android
    • How to customize a widget and implement a menu bar in your activity
    • How to create interactive applications in android with multiple activities including audio, video, and animation
    • How to create a dynamic web application with JSON and SOAP Service
    • How to display user current location in a google map
    • How to create applications using SQLite database and Third Party Libraries
    • How to integrate Facebook, Dropbox and Google Drive in your existing android application
    • How to publish your App on Google Play

    Why Android App Development Course?

    • Google certified program for globally recognized Associate Android Developer Certificate
    • 1M apps on the Playstore with 65B downloads and $7B of wealth earned by programmers
    • The salary for Android developers in the US is between $62k – $159k (based on US job data)

    Who Should Apply?

    All those students and professionals who are keen to create amazing Apps in Android should go for this Android App Development Certification course.

    Android App Development Certification Training- Course Agenda

    Introduction to Android Development

    Learning Objectives: In this module, you will learn the basic architecture of Android platform, download the tools used by any Android application developer and use them to create your first Android app. You will also learn how to run an android application on emulator & on your own device. We will deep dive into Android application lifecycle and understand the working of event listener

    Topics: Basics of Android, Android Architecture, Android Studio Setup – Modifying project parameters in Android Studio and Gradle build files, Adding dependencies in Android Studio and Gradle build files, DDMS, Activity Lifecycle, Event Listener

    Android Layouts, Widgets and Implementing Event Receivers

    Learning Objectives: In this module, you will learn to create a user interface by using the visual tools and the underlying XML. We will deep dive into the core of Android layouts and impressive and easy to code android widgets along with Implementing Event Receivers.

    Topics: LinearLayout, RelativeLayout – Adding a widget to the user’s home screen and updating active home screen widgets, FrameLayout, TableLayout, WebView, CheckBox, RadioButtons, Spinner, AutoCompleteTextView, CardView, TimePicker, DatePicker Dialog, BroadcastReceivers (System & Custom), LocalBroadcastManager

    Activities, Intents, Fragments, and Notifications

    Learning Objectives: In this module, you will be able to create applications with multiple activities and learn to share information between multiple activities with the help of Intents and fragments. Also, you will be able to generate notifications in android.

    Topics : Activities – Persisting application state during configuration changes and creating activity hierarchies, Fragments, Explicit and Implicit intents – Navigating between activities using intents, Using NotificationCompact to Show Notifications – UsingPendingIntentto package and send a delayed action, Services for executing background work, UsingJobSchedulerfor syncs and periodic tasks, and Scheduling time-sensitive tasks with alarms

    Customizing Widgets and Constructing Option Menu

    Learning Objectives: In this module, you will learn to implement different collections of widgets available in androids like GridView, ListView, and RecyclerView. We will also learn to implement one of the four essential components of Android development, which is Broadcast Receivers. We will also deep divining into Android canvas framework, which lets you draw different shapes on the screen.

    Topics : GridView, ListView – Building layouts using XML and Java code and Grouping common UI design elements with styles, RecyclerView – Handling item touch interactions in a RecyclerView, DrawerLayout – Providing alternative resources for device configuration changes, Canvas & Paint – Customizing the application theme, Extending framework UI components to create custom views and validating application layouts properly respond to accessibility events, Constructing Option menus for action bar navigation

    Storage, Media, and Animations

    Learning Objectives: In this module, you will learn most important persistent frameworks in Android system, which is SharedPreference, and Android File System. We will learn to implement different types of animations provided by the android system to create impressive android applications.

    Topics: Internal & External File Storage, haredPreference – Creating settings UI using the preferences framework and reacting to changes in a Shared Preferences instance, MediaPlayer & VideoView, Tween Animation, View Property Animation, FrameAnimation

    WebServices

    Learning Objectives: In this module, at times you will need to perform tasks that should prevent blocking the user from performing other tasks in the application. Here is when services and broadcast receivers come into play. You will learn the highly acclaimed API of the Android framework, which is AsyncTask. We will also learn to implement SOAP Services. You will understand the concept of Retrofit library used for performing these Asynchronous tasks.

    Topics : An overview of SAS, Application of SAS, SAS Environment, Interface, Componnents, SAS Libraries, Programs, Data Step, Proc Step, Key Concepts – Data Set, Descriptor, Portion, Data Portion, Observation, Variables etc.

    Location and Google Map

    Learning Objectives: In this module, you will learn android location framework like GoogleMaps and Geocoder, which will help you to integrate location-related functionality in your applications. You would also learn to draw markers on the map to show targeted locations to a user and also perform animated zooming over the map.

    Topics: Fetch Users Current Location, Reverse Geocoding using Geocoder, MapFragment, Showing Current Location on Map, Showing Markers on Map, Exploring different Map Types Animated Zooming using Camera

    Database Framework and Third Party Libraries

    Learning Objectives: In today’s world what app doesn’t make use of saving and retrieving data? You will be learning most common mechanisms for doing this. You will learn to use android SQLite framework. Also, you will see how the data can be saved in database asynchronously. After completing database we will learn how to use few of the most famous and efficient third-party libraries in our application like image loading, database implementation while writing minimal code.

    Topics : Using SQLiteOpenHelper – Accessing static bundled data in assets (e.g. premade databases, config files), SQLite Data Types, Mapping between Table & Widgets using CursorAdapters, Async CursorLoader , Palette for extracting colors from images, Picasso for Image Loading & Caching, ButterKnife for Injecting Views, TimesSquare for showing CalendarView, Cupboard for ORM

    Localization, Sensors and Social Media Integration

    Learning Objectives: Facebook, DropBox & Google Drive are some of the essential applications which are present on almost all user devices, we will learn to integrate them into our application. We will be learning Single Sign-on, uploading files to Google Drive. We will also learn how to target international audience using localization and various sensors available in Android devices like a compass, Accelerometer etc.

    Topics : Localization, Facebook Integration, Dropbox Integration, Google Drive Integration, Exploring Android Sensors

    End-to-End App Development & Publishing

    Learning Objectives: In this final lesson, you will learn to use Android Studio much more efficiently; we will create one live application end to end to revise the concepts we learned earlier. We will be signing the application using our newly generated keystore and then you will learn how to submit an application to Google Play to share with the world.

    Topics : Debugging Applications, End to End App Development including writing and executing automated unit tests on the local JVM, writing and executing automated instrumentation tests on an Android device, using the system log output (andlogcattools) to trace code execution, locating an error from the stack trace of an uncaught exception and using Strict Mode to locate and report threading violations and leaks, Using Proguard to obfuscate applications, Generating Signing Keys, Publish the application on Google Play Store (Live Demo), Doubts & QueriesUsing Proguard to obfuscate applications

    Why Zillion Venture?

    Zillion Venture's training is the best and value for time & money invested. We stand out because our customers

    • Get trained at the best price compared to other training providers.
    • Get trained by the best trainer in the industry.
    • Get accesses to course specific learning videos.
    • Get 100% Money back guarantee*.

    Training Fee:

    Early Bird: Booking at least one month prior to the class start date

    Training Venue:

    Online participants will get the session attendance link before 4- 5 days of the training start date.

    For more details please contact us at (john@zillionventure.com) or call us at 281-810-9891

     

     

     

     

     

    View Event
  • Looking for something fun to do in Washington, DC?

    We've got the funniest comics from one of the smartest cities in America (more college degrees in DC than any of the enfranchised states) telling you their best jokes (and some they're working on).

    It's verifiably an incredibly fun Thing To Do in DC.

    5* on Yelp, Google, TripAdvisor and GroupOn.



    FREE



    Every Wednesday

    8pm

    Town Tavern (voted one of the best comedy venues by CityPaper)




    This is one of the 9 shows a week, we at Capital Laughs run. Please visit our website or click around below to see the other amazing shows (including showcases and national headliners) you'd enjoy. 

    View Event
  • Class Description:

    This class will help teach you techniques that will help you get the best results from the Reading Assistant on the Cyber Eyez Gear VR. In this one hour session, students will learn all the techniques necessary to successfully read documents, mail and other text in their environment using both offline and online OCR tools.

    Topics include:

    • Settings for great magnification results

    • To Zoom or not to Zoom

    • Accessing Google Offline Text Reader Mode

    • Accessing Microsoft Online OCR

    • Techniques for getting successful OCR results.

    • Reading a piece of paper

    • Reading a book

    • Reading a receipt

    If you have any questions or concerns please contact the Cyber Timez support team at.

    support@cybertimez.com

    (202) 827-6883 ext 2

    Class Length and Schedule:

    45 Minutes

    5m - Intro

    5m - Invert Colors and Adjust White Balance

    2m - Move Display Near or Far versus Zoom In and Zoom Out

    1m - How do I select the Reading Assistant I want?

    2m - What are differences between each Reading Assistant modes?

    5m - How do I use the Reading Assistant to capture letters?

    5m - How do I use the Reading Assistant to capture a book?

    5m - How do I use the Reading Assistant to capture receipts?

    15m - Q and A. Also a great time go over troubleshooting and known issues.


    Class Curriculum:

    Intro

    Make sure each client has their device and that it is on, connected to WiFi and ready and that they have printed out or brought their documents that they will be using for the training.

    Invert Colors and Adjust White Balance

    To adjust for your eyes and your condition you can adjust the screen to have different color and effect modes to help as much as possible. For example, using “Whiteboard” in Invert Colors is very useful for reading documents since it makes whites very white and blacks very black in the image making the letters stand out more on the page. Invert Colors Negative mode is the standard white on black or “high contrast” mode. White balances are very useful to ease eye strain and get better results in color assistant. Mixing and matching these settings can produce some very custom results.

    Move Display Near or Far versus Zoom In and Zoom Out

    There are 2 ways to make an image bigger in Cyber Eyez Gear VR. Many people find that the image stays in focus best by using the Move Display Near or Far mode to magnify. This works extremely well for items that are at the default “focal length” for the camera...about 20 inches. However, to read things across a room or at a distance the camera needs zoom. With Cyber Eyez you have both. You can move the display as close as you need and then go into a mode that supports zoom to make the image even bigger.

    How do I select the Reading Assistant I want?

    Google Offline Text Reader and Microsoft Online can both be accessed by swiping up or down on your swipe pad.

    What are differences between each Reading Assistant modes?

    Google Offline Text Reader does not require any internet connection to read text. It is very powerful, recognizes text in columns and blocks. Microsoft Online is the same OCR engine used by long text mode in Seeing AI from Microsoft. It recognizes text at multiple angles (even upside down), but sometimes struggles if there are headlines and smaller print text in the same image.

    How do I use the Reading Assistant to capture letters?

    The best way to read with any wearable is to use a book easel. This are inexpensive devices that hold documents, books and magazines still and even have clips to hold the pages in place while you read. If you don’t have an easel, hold the document in your left hand and snap a picture with a long tap on the swipe pad. You will hear a camera shutter “click” sound when it takes the picture. Wait a few seconds and the text will begin to be read back. To stop the voice, swipe forward or backward on the swipe pad.

    How do I use the Reading Assistant to capture a book?

    Books really work best with an easel, but can be done in your hand or on a table as well. Hold the book open so both pages can be seen by the camera lense if possible. If both pages can not be seen, try to capture one page without the other. A piece of paper comes in handy to cover the other page if the book or magazine is too large to do one page at a time. Once you’ve got text in the frame, long tap on the swipe pad to take a picture. You will hear a camera shutter “click” sound when it takes the picture. Wait a few seconds and the text will begin to be read back. To stop the voice, swipe forward or backward on the swipe pad.

    How do I use the Reading Assistant to capture receipts?

    Hold the receipt fairly close to the device (about 18-20 inches) to block out any surrounding “white noise” since receipt text can be fairly light. Once you’ve got the receipt in the frame, long tap on the swipe pad to take a picture. You will hear a camera shutter “click” sound when it takes the picture. Wait a few seconds and the text will begin to be read back. To stop the voice, swipe forward or backward on the swipe pad.

    Q&A

    15 minute questions and answer sessions at the end of the training to answer any of your Cyber Eyez basics questions.

    Class Requirements:

    YOUR EMAIL MUST BE REGISTERED AS A CYBER TIMEZ CUSTOMER IN ORDER TO ATTEND THIS CLASS.

    This class will be broadcast through Google Hangouts and will also be available on YouTube live. Please make sure that before the start of the class that you have access to a device with a login that can successfully access Google Hangouts or YouTube live. You can find help on how to join Google Hangouts at the following link https://gsuite.google.com/learning-center/products/hangouts/get-started/#!/section-2 .

    By joining Google Hangouts you will be able to interact with us more versus just watching the class on YouTube live.

    Once you have successfully RSVP'd to the class you will be sent a Google Hangout and YouTube live link to your registered email address up to an hour before the class begins.

    The class will take up to an hour and it is strongly suggested that you have your Cyber Eyez Gear VR device with you and that the device is fully charged and that you have several examples of items to read text from such as books, magazines, mail and other items with text so that you can learn the skills as we teach them.


    View Event
  • Class Description

    Questions that will be answered during this class:

    • How do I put my Gear VR together?

    • What are all these buttons and parts called?

    • How do I connect my Samsung phone to Wifi?

    • How do I open Cyber Eyez and other applications?

    • How do I zoom in Cyber Eyez?

    • How do I change modes in Cyber Eyez?

    • 15 minute questions and answer sessions at the end of the training to answer any of your Cyber Eyez basics questions.

    If you have any questions or concerns please contact the Cyber Timez support team at.

    support@cybertimez.com

    (202) 827-6883 ext 2

    Class Length and Schedule:

    1 Hour

    5m - Intro

    1m - How do I power down/up the device?

    2m - How do I properly charge the device?

    15m - How do I connect Wifi?

    3m - How do I put my Gear VR together and what are all these parts called?

    2m - How do I open Cyber Eyez?

    2m - How do I select a new mode?

    2m - Name the swipe pad and the up and down swipe actions.

    3m - Practice swipe up and down navigation.

    4m - Name the swipe pad and the left and right actions actions.

    4m - Practice swipe left and right navigation.

    2m - How do I take a picture in Cyber Eyez?

    5m - Move Display

    3m - Practice zooming and capturing.

    10m - Q and A. Also a great time go over troubleshooting and known issues.


    Class Curriculum:

    How do I power down/up the device?

    Your headset receives power from the phone and does not have to be powered on. For Samsung S8 and S8+, the power button is on the right hand side of the phone with no other buttons.

    How do I properly charge the device?

    There is a USB-C plug on the bottom, right hand side of the headset.


    How do I connect Wifi?

    1. From the Home screen, swipe up on an empty spot to open the Apps tray.

    2. Tap Settings > Connections.

    3. Tap Wi-Fi.

    4. If necessary, tap the Wi-Fi switch to ON.

    5. A list of networks populates.

    6. Tap the MORE to add a Wi-Fi network that does not display.

    7. Tap the desired Wi-Fi network you want to connect to.

    8. If necessary, enter the password.

    9. Tap Connect.

    How do I put my Gear VR together and what are all these parts called?

    There are three main parts to Cyber Eyez Gear VR:

    1. Samsung Smartphone

    2. Oculus Gear Virtual Reality Headset

    3. Cyber Eyez application

    To assemble your headset, please take the following steps:

    1. Orient the headset so that the headset is looking toward you and the straps are going away from you with focus wheel on the top.

    2. Make sure the black clip on the right is all the way right and not “snapped” into place

    3. Make sure the gray clip on the left side is lifted up and ready to receive your phone. If you have an S8 or smaller the phone, make sure the clip is in the “B” position!
      Important note: If your phone uses micro USB rather than USB-C you can swap the adapter on the headset by switching the adapter to unlock, removing it, and replacing it with the micro USB version.

    4. Orient your phone so that the USB charging plug lines up with the gray clip on the left side with the screen facing the headset and the camera facing you

    5. Press the phone into place in the left clip lining up the USB charging port on the phone and the USB plug on the headset ensuring a snug fit on the USB plug.

    6. Push the phone toward the headset so it lays flat. The clip on the right will “snap” into place and hold the phone.

    How do I open Cyber Eyez?

    Cyber Eyez is always running in the background on your phone. When you reboot or take it out of the headset, after a few seconds you should hear your device say, “Cyber Eyez ready for headset docking.” All you need to do is put your phone in your headset to start Cyber Eyez. Alternatively, you can open it like any other app by tapping the Cyber Eyez icon on your phone. It is spelled “Cyber Eyes” on Android devices to enable you to use Google Assistant as well. Just say, “Ok Google, open Cyber Eyes” and it will launch automatically.

    Name the swipe pad and the up and down swipe actions.

    There is a swipe pad on the right hand side of the device beneath two small buttons. DON’T TOUCH THE BUTTONS! We don’t use the buttons or any functions in Cyber Eyez, however if you press them they will take you to the Oculus home screen. In Cyber Eyez, we swipe up (from the floor to the ceiling) or down (from the ceiling to the floor) to change modes. You can access all modes by swiping up or down as the list repeats in either direction.

    Practice swipe up and down navigation.

    During this time, allow the students to practice swiping up and down on the swipe pad. Some will press too hard, some too soft. Some will swipe in diagonals that may be registered as forward and back swipes.

    Name the swipe pad and the forward and back swipe actions.

    To zoom in, zoom out or change options in settings modes we swipe forward (from your ear toward your eyeball) or backward (from your eyeball toward your ear). Depending on which mode you are in, swiping forward and back will do different things. Swiping forward and backward in reading, object, color and barcode modes will zoom in and zoom out. Swiping forward in Adjust brightness will increase brightness.

    Practice swipe forward and back navigation.

    During this time allow the students to practice all the different ways to navigate Cyber Eyez and to adjust settings, zoom in and out, combine different settings and zoom levels.

    How do I take a picture in Cyber Eyez?

    Take a picture by long tapping on the swipe pad. You will hear a camera shutter click sound when the picture is taken. If you’re having trouble, try lifting your finger off the swipe pad and try again.

    Move Display

    To adjust for your vision, Cyber Eyez has the ability to move the entire virtual movie screen in front of your eyes. If you have better peripheral vision than central, try going to “Move Display Left or Right Mode” and swipe forward or backward to move the entire display in either direction. So if you have vision in your lower right peripheral for example, go to Move Display Left or Right, swipe forward to move the screen to the right. Then swipe down to Move Display Up or Down and swipe backward to move the screen down. You can also move the screen closer or farther away from your eye. The ultimate goal is to try and see all 4 corners of the movie screen if possible.

    Practice zooming and capturing

    Have the students go into Google Offline Text Reader, Microsoft Online Text Reader, Barcode mode, color assistant or mood ring mode and practice zooming and taking pictures.

    Q&A

    15 minute questions and answer sessions at the end of the training to answer any of your Cyber Eyez basics questions.


    Class Requirements:

    YOUR EMAIL MUST BE REGISTERED AS A CYBER TIMEZ CUSTOMER IN ORDER TO ATTEND THIS CLASS.

    This class will be broadcast through Google Hangouts and will also be available on YouTube live. Please make sure that before the start of the class that you have access to a device with a login that can successfully access Google Hangouts or YouTube live.


    You can find help on how to join Google Hangouts at the following link https://gsuite.google.com/learning-center/products/hangouts/get-started/#!/section-2 .


    By joining Google Hangouts you will be able to interact with us more versus just watching the class on YouTube live.


    Once you have successfully RSVP'd to the class you will be sent a Google Hangout and YouTube live link to your registered email address up to an hour before the class begins.


    The class will take up to an hour and it is strongly suggested that you have your Cyber Eyez Gear VR device with you and that the device is fully charged so that you can learn the skills as we teach them.


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  • Learn and Practice Essential Skills for Your doTERRA Business!

    Invite your leaders, sharers and prospects

    Bring a tablet or laptop and your Empowered Success Guides.

    Agenda will progress each month - new skills

    3-4 pm - Announcements and PIPES (Prepare, Invite, Present, Enroll, Support)

    4-4:30 - Extra skills e.g. back office, placements, Zoom, Google Drive

    4:30 - Happy hour at Villages of Leesburg


    YOU ARE WELCOME TO SHARE THIS INVITATION!

    FIRST SATURDAYS OF EVERY MONTH


    Hosted by Lisa Bergman, Dr. Misty Paul, Lynn Dosey, Stephanie Greene, Meg Gronvall and more dōTERRA Wellness Advocates


    #oiltopia #doterra #essentialoils  #besthomebasedbusiness

    #ashburn #leesburg #loudoun


     


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  • BACK BY POPULAR DEMAND...We are pleased to announce that the DC Metro, Circle of Friends, Inc. is hosting their 5th Annual "Picnic in the Park” on Sunday, September 15, 2019, in Rock Creek Park, Picnic Area #24, across from the Rock Creek Tennis Center, off of 16th Street NW, Washington DC 20011.

    This is a FREE event. The purpose of this annual event is to build a sense of UNITY within the DMV LGBTQ Community and share a day of FUN with our Brothers and Sisters.

    Please bring your own grill, food, and drinks. Complimentary bottles of water will be provided, while they last.  Plenty of FREE parking is available.

    RAFFLES ~~~ PRIZES ~~~ FUN!!!!

    Members of the DC Circle will be near the parking lot to direct you to the picnic area. Look for the DC METRO CIRCLE OF FRIENDS BANNER.

    TABLES AND SEATING ARE LIMITED.  For your comfort, please bring your own blankets, tents, chairs and tables. 

    Look for directional signs.

    Take a couple of hours on a Sunday afternoon to "Doin' it in the Park…Rock Creek Park" . Come and help us celebrate the start of our SIXTH year as an LGBTQ organization in the DC Metro Area. 

    Please share this invitation with your friends. 

    The DC Metro, Circle of Friends can be contacted by email at DCMCircleofFriends2014@gmail.com and “friend” us on Facebook, at DCM CircleofFriends for information on our upcoming events. 

    Google Maps Directions: 

    https://www.google.com/maps/dir/Rock+Creek+Park+Picnic+Area+24,+Washington,+DC//@38.9539867,-77.0746741,13z/data=!4m9!4m8!1m5!1m1!1s0x89b7c8440c5ba38f:0xce705098eb62d593!2m2!1d-77.0396546!2d38.9539919!1m0!3e0


    RAIN OR SHINE


    Yours in Friendship,

    DC Metro Circle of Friends, Inc.

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  • Back in 2012, the Harvard Business Review called Data Science “the sexiest job of the 21st Century.” Six years later, the job has only gotten sexier. And while interest from job seekers is growing, Indeed research shows job postings are growing even faster.  

    Within the greater field of Data Science, Natural Language Processing (NLP) is being adopted at an accelerated rate into the workflow of many companies.  NLP is responsible for enhancing critical aspects of customer service, chatbots, reputation monitoring, sentiment analysis, ad placement, and market intelligence — making future employees with this skillset a valuable commodity.

    Join us as Lauren Washington dives into the present and future of NLP, exploring how we can use our computational tools to enhance communication between humans and organizations across all business markets. We will be explaining some foundational concepts within the NLP space, how companies like Google and Facebook use it, and why it’s a useful skill for aspiring data scientists.  We’ll also introduce some resources to help you get started with Natural Language Processing.

    About the Speaker:

    Lauren Washington

    • Is a Technical Expert and Mentor at Thinkful. She’s also the Lead Data Scientist and Machine Learning Engineer for smartQED in the Bay Area, where she specializes in Natural Language Processing, where she’s responsible for predicting when IT systems are going to fail (and how to avoid that failure). Previously, Lauren worked in analytics and Data Science roles at Google, Nielsen, and the National Opinion Research Center. Lauren has a Bachelor’s Degree in Economics from Spelman College, GA, and a Master’s in Applied Data Science from Columbia University.


    How to join us: Once you register, you will receive an email from LiveStorm with the links to the live webinar. If you do not receive your link, please email ivy@thinkful.com

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  • 2019 Motionsoft Technology Summit


    THE EVENT

    The Motionsoft Technology Summit is the premier networking event for technology and marketing executives in the health and fitness industry. This year's event will be held Monday, September 16th to Wednesday, September 18th at the beautiful Omni Shoreham hotel.

    The theme for this year's event is: 

    Back to basics - Practical technology solutions that help you to get them, know them and keep them

    Attendance is limited to C-level fitness industry executives and owners. The Tech Summit is an intimate gathering that gives attendees the chance to connect and network, while discussing common technology issues during panel conversations, presentations and education sessions.

    Keynotes from the past have included leaders from Apple, Under Armour, Samsung, Cigna, IHRSA and Google

    Registration is capped at 200 attendees. 

    THE VENUE 

    The Omni Shoreham Hotel in Washington, D.C. has been open since 1930 and has hosted presidents, world leaders and inaugural balls. It's located in the Woodley Park neighborhood of D.C. and close to the metro, restaurants and Dupont Circle.   

    Motionsoft has negotiated a great room rate of $239 per night. A link to register for the hotel room will be included in your confirmation email after you've registered.  

    Motionsoft Technology Summit



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  • This class will cover various topics on software testing, including:
    • SDLC (Software Development Life Cycle)
    • STLC (Software Test Life Cycle)
    • Defect Life Cycle
    • Software Requirement Gathering and Analysis
    • Microsoft/Oracle SQL Server (2008/ 2008 r2/ 2012)
    • Tools
      • Quality Center (QC)/ Application Life Management (ALM)
      • Java, Selenium and various other software
    • Operating Systems (OS) Windows XP/Vista/7/8.1/10

    Pre-requisite: 

    Students need to have a general knowledge of computing. At the least: able to work with a computer, using Windows Operating System such as 7/8.1/10 and Mac OS. Also, some general knowledge about Microsoft Office Suite (Word, Excel, PowerPoint, and Access). Also, students must be familiar with emails such as Gmail, Yahoo, AOL, Outlook, etc. Students must possess the ability to spend time and to learn about technologies as needed. Students should be able to use web browsers such as Internet Explorer, Google Chrome, and Firefox.


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  • Since 2013, Speechless has been selling out shows at comedy clubs and conferences all over the country and the world. Armed only with a laser pointer and a deck of random slides, presenters ranging from stand up comedians to software engineers and Tony Award winners to TED presenters have put their talents to the test in the ultimate improvisational gauntlet--giving a presentation that they've never seen before. Fusing technology with comedy, Speechless is the entertainment experience for the Web 2.0 world.

    Speechless has entertained and trained companies all over the world including Google, Adobe, Microsoft, Uber, Twitter, Salesforce, Zynga, IDEO, eBay, Paypal, Walmart, The Bill & Melinda Gates Foundation, and many more. Speechless has been showcased at the Hollywood Improv, SF Sketchfest, Joe’s Pub in New York, as well as many other comedy clubs and festivals. Speechless has been featured in Newsweek, The Wall Street Journal, The Huffington Post, the San Francisco Chronicle, Inc.com, and the New York Times.




    “This show is created by Speechless, Inc., find out more at www.speechlesslive.com.” 

    Emails submitted online through Drafthouse Comedy will be shared with Speechless International for promotional reasons only.  Please email us if you do not consent to the sharing of your email.
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  • Class Description:

    This class will help teach you techniques that will help you get the best results from the Reading Assistant on the Cyber Eyez Vuzix M300. In this one hour session, students will learn all the techniques necessary to successfully read documents, mail and other text in their environment using both offline and online OCR tools.

    Topics include:

    • Accessing Cyber Eyez Offline Mode

    • Accessing Microsoft Online OCR

    • Techniques for getting successful OCR results.

    • Reading a piece of paper

    • Reading a book

    • Reading a receipt

    • To Zoom or not to Zoom

    If you have any questions or concerns please contact the Cyber Timez support team at.

    support@cybertimez.com

    (202) 827-6883 ext 2

    Class Length and Schedule:

    1 Hour

    17m - Intro

    3m - How do I open the Cyber Eyez menu to select the Reading Assistant I want?

    5m - What are differences between each Reading Assistant modes?

    5m - How do I use the Reading Assistant to capture letters?

    5m - How do I use the Reading Assistant to capture a book?

    5m - How do I use the Reading Assistant to capture receipts?

    5m - Spend time working with the zoom feature and how it works with the OCR features.

    15m - Q and A. Also a great time go over troubleshooting and known issues.

    Class Curriculum:

    How do I open the Cyber Eyez menu to select the Reading Assistant I want?

    Long press #1 to bring up the menu. Reading Assistant is the first option. It has a sub-menu, so short press #3 to open the sub-menu. The first option is Cyber Eyez Offline mode. Short press #1 to scroll down to Microsoft Online mode or Back to go back to the main menu. Short press #3 to select either Cyber Eyez Offline mode or Microsoft Online mode.

    What are differences between each Reading Assistant modes?

    Cyber Eyez Offline Text Reader does not require any internet connection to read text. It is can read text in over 160 languages. Microsoft Online is the same OCR engine used by long text mode in Seeing AI from Microsoft. It recognizes text at multiple angles (even upside down), but sometimes struggles if there are headlines and smaller print text in the same image.

    How do I use the Reading Assistant to capture letters?

    The best way to read with any wearable is to use a book easel. This are inexpensive devices that hold documents, books and magazines still and even have clips to hold the pages in place while you read. If you don’t have an easel, hold the document in your left hand and snap a picture with a short press of #3. You will hear a camera shutter “click” sound when it takes the picture. Wait a few seconds and the text will begin to be read back. To stop the voice, swipe forward or backward on the swipe pad or short press #1 or #2.

    How do I use the Reading Assistant to capture a book?

    Books really work best with an easel, but can be done in your hand or on a table as well. Hold the book open so both pages can be seen by the camera lense if possible. If both pages can not be seen, try to capture one page without the other. A piece of paper comes in handy to cover the other page if the book or magazine is too large to do one page at a time. Once you’ve got text in the frame, short press #3 to take a picture. You will hear a camera shutter “click” sound when it takes the picture. Wait a few seconds and the text will begin to be read back. To stop the voice, swipe forward or backward on the swipe pad or short press #1 or #2.

    How do I use the Reading Assistant to capture receipts?

    Hold the receipt fairly close to the device (about 18-20 inches) to block out any surrounding “white noise” since receipt text can be fairly light. Once you’ve got the receipt in the frame, short press #3 to take a picture. You will hear a camera shutter “click” sound when it takes the picture. Wait a few seconds and the text will begin to be read back. To stop the voice, swipe forward or backward on the swipe pad or short press #1 or #2.

    Spend time working with the zoom feature and how it works with the OCR features.

    Zoom in on one paragraph and take a picture. On bills, zoom in on the amount due and have just that read back. Zoom and OCR are a powerful combination to cut down the amount of text being read back and to get just the text you want.

    Q & A

    Also a great time go over troubleshooting and known issues.

    Techniques for getting successful OCR results.

    To Zoom or not to Zoom


    Class Requirements:

    YOUR EMAIL MUST BE REGISTERED AS A CYBER TIMEZ CUSTOMER IN ORDER TO ATTEND THIS CLASS.

    This class will be broadcast through Google Hangouts and will also be available on YouTube live. Please make sure that before the start of the class that you have access to a device with a login that can successfully access Google Hangouts or YouTube live. You can find help on how to join Google Hangouts at the following link https://gsuite.google.com/learning-center/products/hangouts/get-started/#!/section-2 .

    By joining Google Hangouts you will be able to interact with us more versus just watching the class on YouTube live.

    Once you have successfully RSVP'd to the class you will be sent a Google Hangout and YouTube live link to your registered email address up to an hour before the class begins.

    The class will take up to an hour and it is strongly suggested that you have your Cyber Eyez Vuzix M300 device with you and that the device is fully charged so that you can learn the skills as we teach them.


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  • Japan Information & Culture Center, Embassy of Japan

    Lecture - Shades of Indigo: The Kimono-Denim Jeans Connection, with Ann Marie Moeller 

    Presented by the Japan Information & Culture Center, Embassy of Japan



    Join us at the JICC for the final lecture in the series held in conjunction with our current exhibition, "Indigo Threads /藍・つむぐ: Weaving Japanese Craftsmanship & American Heritage."

    History, economics, and aesthetics unique to Japan created an environment where cotton denim, first widely used for American jeans, became a highly appreciated commodity in Japan. Lecturer Ann Marie Moeller, a Japanese textile scholar, will explore influences that range from samurai edicts to sophisticated kimono fashions to illuminate the Japanese attraction to denim jeans. 



    About the Presenter

    Ann Marie Moeller is a Japanese textile scholar and independent curator who has collected kimono since her student years at Harvard. She was Consulting Curator for the recent exhibition at the Baltimore Museum of Art, Kimono and Obi: Romantic Echoes from Japan's Golden Age, which is also featured in Google's Arts & Culture online exhibitions. She lectures nationally for a wide variety of institutions including the Smithsonian Institution, the Asia Society, the Textile Museum, the Japan Foundation, and the Japan Information & Culture Cetnter, Embassy of Japan. She is the main author of Reading Kimono: Nature Symbols and Motifs on Japanese Kimono published by Schiffer. Ann Marie has also curated exhibits for the Kennedy Center, the International Monetary Fund, the National Cherry Blossom Festival, and the Japan Information & Culture Ceter, Embassy of Japan.



    This event is free and open to the public, but registration is required for security purposes

    Program begins at 6:30 PM. Doors open 30 minutes prior.

    No admission or re-entry will be permitted after 7:00 PM.

    Registered guests will be seated on a first come, first served basis. Please arrive early as seating is limited and registration does not guarantee guests a seat.

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  • Food Tank, the fastest-growing nonprofit research organization in the good food movement, in partnership with The George Washington University Graduate School of Political Management, Planet Forward, Friedman School of Nutrition Science and Policy at Tufts University, and New York University Steinhardt School of Culture, Education, and Human Development, present bi-monthly, bi-partisan conversations about food issues in the U.S. Congress, featuring special guest Congresswoman Chellie Pingree. Conversations will be held in collaboration with Facebook's Community Leadership Program. 

    Food Tank is hosting the briefing in conjunction with the Food is Medicine Working Group.

    May 10: The Intersection of Food and Health

    A discussion about breaking down the silos between the health and agriculture communities. How can those communities work together to support practices that benefit public health, the health of rural communities, and farmers? Confirmed speakers and special guests include: Gregory Cooper (DC Central Kitchen), Dr. Robert Graham (FreshMed), Congressman Jim McGovern, Danielle Nierenberg (Food Tank), Congresswoman Chellie Pingree, Frank Sesno (GWU/PlanetForward), Geeta Sethi (World Bank), Kathleen Merrigan (ASU), and Norbert Wilson (Friedman School of Nutrition Science and Policy at Tufts University).

    July 10: The Intersection of Food, AI, and Technology

    A discussion about the future of technology in the food system. Incredible speakers to be announced soon! Speakers include: Alison Aubrey (National Public Radio), Andrew Kim (Google), Riana Lynn (FoodTrace), Congresswoman Chellie Pingree, Danielle Nierenberg (Food Tank), Mark Zornes (Winnow Solutions), and more to be announced soon!

    September, November, and December 2019 themes to be announced soon!

    Events are free to attend with registration and lunch will be provided (vegetarian and plant-based options available). 

    We also strongly encourage you to become a Food Tank member hereas we will be announcing exclusive networking opportunities and private events in Washington, D.C., for Food Tank members and guests. 

    Hurry each event has limited availability and may sell out quickly! To join the waitlist for a full event, please apply at www.foodtank.com/waitlist.

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  • Open Nation is a live, invite-only event that allows top performing IdeaScale administrators and moderators to connect with each other and hear from other innovation management practitioners. Open Nation covers a range of topics and themes, but will specifically cover subjects in (at least) these key areas this year:

    1. Innovation metrics and tracking ROI
    2. Gaining leadership buy-in
    3. How to develop innovation teams

    Download our sample program from last year.

    Attendees at Open Nation will return to their innovation management programs armed with new communications tactics, new tactics to impact innovation culture, and other innovation best practices and will receive a certification for attending all lectures and completing all workshops. 

    Breakfast, Lunch and Happy Hour provided.

    And although it's not part of the official programming, you can also take the opportunity to meet with your Account Manager in person on October 23rd or take part in our community Friday activity on October 25th (tours and presentations at inspiring DC organizations. Past tour locations have included Google, Fictiv, LinkedIn, and many others). 

    Space is limited, so reserve your seat today.


    Day Two Tour Locations:


    ISL Strategy

    Since 2008, we've been inventing great work for the world's best brands. We've been named Ad Age's Small Agency of the Year (twice) and have won over 20 Cannes Lions and other industry awards. We create multi-channel campaigns that bridge the online and offline world. We design and build websites, mobile apps, data visualizations. We produce content, commercials and short films. We have an entire team devoted to internet-connected devices and our own hardware. And we manage social for some of the biggest companies in the world. They also have one of the most innovative offices in DC - complete with hidden doorways.

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  • About This Event

    You’re invited to GA’s exclusive private hiring even to meet our latest cohort of web developers and software engineers, who have honed their skills in General Assembly’s Software Engineering Immersive Program.

    Hiring managers, recruiters, and anyone hiring web developers are welcome.

    Think of this as a reverse career fair, where you can see students’ final projects and talk individually with them. This is open house style, so come whenever you can and stay as long as you’d like - drinks are on us!

    About Our Students

    Our graduates are proactive, creative, collaborative, and motivated professionals ready to make a difference. Students come from a variety of backgrounds, including product management, engineering, non-profit management, law, government, science, finance, and education.

    Full-stack web developers skilled in Git, HTML, CSS, Javascript, Python, Django, Node, Express, React, MongoDB, SQL, problem-solving, planning, modeling, and maintaining applications with client-API architectures. These developers have worked in teams and independently to build functioning sites that solve real-world business problems.

    Why hire our grads?

    From growing brands to Fortune 500 companies, GA graduates portray demonstrable success in a variety of settings.

    Organizations who have hired GA graduates include Apple, Google, Salesforce, CapitalOne, WSJ, Johns Hopkins University, HP, and others.

    Want a preview?

    Check out GA’s Graduates here

    By submitting your email address, you agree to receive updates about news, programs, and special events from General Assembly. Please refer to General Assembly’s Terms of Service and Privacy Policy for more information.

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  • The Cybersecurity Training Center in Rockville, Maryland has the pleasure to invite you to attend its Open House on:

    DATE: Saturday, July 13, 2109

    TIME: 1:00 to 4:00 PM.

    LOCATION: 1335 Rockville Pike Suite 380

    • Participants would be treated to presentations in:

      • The Cybersecurity Profession

      • State of the Industry

      • Career Paths

      • Course Offerings

    • Certification Talks

    • CompTIA Certifications

    • Cisco Certifications

    • ISC2 Certifications

    • ISACA Certifications

    • EC Council Certifications

    • AWS Certifications

    • Google Cloud Certifications

    • Splunk Certifications

    • VMWare Certifications

    • Career Talks

    • Developing your Cybersecurity career action plan 

    • Managing your career like a Consultant 

    • Children Talks

    • Privacy Online: Garfield Cyber Safety Series

    • Activities:

      • Raffle (Free Training, Cyber / IT Books, Gift Cards, etc.)

      • Cybersecurity Jeopardy Game (Adults)

      • Logic / Programming / Cyber Board Games (Adults & Children)

      • Free Cyber/ IT Coaching Sessions

      • Free Resume Reviews


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  • Young Ladies of Tomorrow, an organization that empowers girls in the DC area who have been impacted by the Juvenile Justice System, presents An evening in White: A Dinner for a Cause!

    This event will be an evening of food, drinks, music, white clothing, and a good time for a purpose.

    Questions? Feel free to see the information below or contact the event organizer directly at Alyssalmccall@gmail.com

     

    FAQs

     

    Are there ID or minimum age requirements to enter the event?

    Yes, we ask that all attendees be 21 or older. Please ensure that you bring a valid photo ID with you to be checked into the building. 

     

    What should I wear?

    Similar to White Parties or Dinners you are expected to wear all white attire. Attire must be elegant and tasteful. (Still, have questions? Pinterest and Google have great fashion recommendations) 


    What should I bring?

    Food and Drinks will be provided. We do always encourage people to bring a camera to document your great time as well as weather appropriate attire.

     

    Is my registration fee or ticket transferrable?

    Yes. Because tickets are non-refundable, we do not mind if you transfer your ticket to another individual over the age of 21. If one must transfer their ticket, we ask that it is done within 48 hours of the event through emailing the event organizer at alyssalmccall@gmail.com.


    What does my ticket price include?

    Each ticket includes the following: dinner, drinks for the evening (alcoholic and non-alcoholic), and access to the events pre-cocktail hour from 4:30 to 5:30.

    What time do I need to arrive by? 

    All attendees are asked to arrive no later than 5:30 to ensure that you are granted access to the building.


    How can I contact the organizer with any questions?

    The organizer can be reached at Alyssalmccall@gmail.com

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  • Firefighters work tirelessly to ensure that their community is taken care of. Being a firefighter isn’t about the glory or the money, it’s about how many lives you can change.  The Virtual Run Challenge wants to recognize those individuals in the first event of our Hometown Heroes Virtual 5k Run Walk Series.  National Fire Fighter's Day is recognized on May 4th, 2019.  Our virtual run can be completed at any time during the month of May.  

    Hometown Heroes Firefighter Virtual 5k Run Walk has chosen the National Fallen Firefighters Foundation as the beneficiary to this event.  The NFFF was created to honor America’s fallen fire heroes and to help provide resources to their survivors  A portion of each registration will be donated.  So whether you sign up as a team or individual you will know that you are making a difference.


    HOW TO COMPLETE:

    • Register for the race (Participants will receive Finisher Medal & Official Race Bib)
    • Choose a location
    • It’s your race!  Run, Walk; indoors or outside you set the pace
    • Submit your results, earn your medal and bragging rights with your friends
    • Register for your next race!


    You can visit us at www.TheVirtualRunChallenge.com/HometownHeroes

    Like Us On Facebook

    Join our STRAVA Club 

    For more of our other Virtual Challenges and Events check out www.TheVirtualRunChallenge.com/Challenges

    Join Our Strava Club

    Google Plus" REL="nofollow noopener noreferrer">VRC Google +

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  • Firefighters work tirelessly to ensure that their community is taken care of. Being a firefighter isn’t about the glory or the money, it’s about how many lives you can change.  The Virtual Run Challenge wants to recognize those individuals in the first event of our Hometown Heroes Virtual 5k Run Walk Series.  National Fire Fighter's Day is recognized on May 4th, 2019.  Our virtual run can be completed at any time during the month of May.  

    Hometown Heroes Firefighter Virtual 5k Run Walk has chosen the National Fallen Firefighters Foundation as the beneficiary to this event.  The NFFF was created to honor America’s fallen fire heroes and to help provide resources to their survivors  A portion of each registration will be donated.  So whether you sign up as a team or individual you will know that you are making a difference.


    HOW TO COMPLETE:

    • Register for the race (Participants will receive Finisher Medal & Official Race Bib)
    • Choose a location
    • It’s your race!  Run, Walk; indoors or outside you set the pace
    • Submit your results, earn your medal and bragging rights with your friends
    • Register for your next race!


    You can visit us at www.TheVirtualRunChallenge.com/HometownHeroes

    Like Us On Facebook

    Join our STRAVA Club 

    For more of our other Virtual Challenges and Events check out www.TheVirtualRunChallenge.com/Challenges

    Join Our Strava Club

    Google Plus" REL="nofollow noopener noreferrer">VRC Google +

    View Event