Google

Tags: Tech
Google
4.40
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: 86%
Senior Leadership: 78%
Salary & Benefits: 88%
Career Growth: 82%
Work / Life Balance: 82%
Recommended: 89%
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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  • JOIN US FOR THE BEST NETWORKING EVENT IN DC!

    weconnect ® is the fastest growing startup, digital & tech networking organization in the country. Our events are comprised of the most influential professionals in the area. Our purpose is to help our members forge strong, lasting relationships within the community – combining Fortune 500/1000s with Entrepreneurs and Startups. We’re creating unique opportunities & connections to help you grow your business and network both offline and online through our proprietery platform (coming soon).

    1. Enjoy The Most Successful Startup & Tech Mixer In A Fun, Relaxed Atmosphere

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  • Developing Applications with Google Cloud Platform

    (Formerly CPD200)

    (3 days)

     

    In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. A personal laptop is required for all workshops and will not be provided.

    Objectives

    This course teaches participants the following skills:

    • Use best practices for application development
    • Choose the appropriate data storage option for application data
    • Implement federated identity management
    • Develop loosely coupled application components or microservices
    • Integrate application components and data sources
    • Debug, trace, and monitor applications
    • Perform repeatable deployments with containers and deployment services
    • Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine Flex

    Audience

    Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.

    Prerequisites

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

    • Completed Google Cloud Platform Fundamentals or have equivalent experience
    • Working ​knowledge ​of Node.js
    • Basic proficiency with command-line tools and Linux operating system environments

    Course Outline

     

    Module 1: Best ​Practices ​for Application ​Development

    • Code and environment management
    • Design ​and ​development ​of ​secure, ​scalable, ​reliable, ​loosely ​coupled application ​components ​and ​microservices
    • Continuous ​integration ​and ​delivery
    • Re-architecting ​applications ​for ​the ​cloud

    Module 2: Google ​Cloud ​Client Libraries, ​Google ​Cloud ​SDK, ​and Google ​Firebase ​SDK

    • How ​to ​set ​up ​and ​use ​Google ​Cloud ​Client ​Libraries, ​Google ​Cloud SDK, ​and ​Google ​Firebase ​SDK
    • Lab: ​Set ​up ​Google ​Client ​Libraries, ​Google ​Cloud ​SDK, ​and ​Firebase SDK ​on ​a ​Linux ​instance ​and ​set ​up ​application ​credentials

    Module 3: Overview ​of ​Data Storage ​Options

    • Overview ​of ​options ​to ​store ​application ​data
    • Use ​cases ​for ​Google ​Cloud ​Storage, ​Google ​Cloud ​Datastore, ​Cloud Bigtable, ​Google ​Cloud ​SQL, ​and ​Cloud ​Spanner

    Module 4: Best ​Practices ​for ​Using Cloud ​Datastore

    • Best ​practices ​related ​to ​the ​following:
      • Queries
      • Built-in ​and ​composite ​indexes
      • Inserting ​and ​deleting ​data ​(batch ​operations)
      • Transactions
      • Error ​handling
    • Bulk-loading ​data ​into ​Cloud ​Datastore ​by ​using ​Google ​Cloud Dataflow
    • Lab: ​Store ​application ​data ​in ​Cloud ​Datastore

    Module 5: Performing ​Operations on ​Buckets ​and ​Objects

    • Operations ​that ​can ​be ​performed ​on ​buckets ​and ​objects
    • Consistency ​model
    • Error ​handling

    Module 6: Best ​Practices ​for ​Using Cloud ​Storage

    • Naming ​buckets ​for ​static ​websites ​and ​other ​uses
    • Naming ​objects ​(from ​an ​access ​distribution ​perspective)
    • Performance ​considerations
    • Setting ​up ​and ​debugging ​a ​CORS ​configuration ​on ​a ​bucket
    • Lab: ​Store ​files ​in ​Cloud ​Storage

    Module 7: Securing ​Your Application

    • Cloud ​Identity ​and ​Access ​Management ​(IAM) ​roles ​and ​service accounts
    • User ​authentication ​by ​using ​Firebase ​Authentication
    • User ​authentication ​and ​authorization ​by ​using ​Cloud ​Identity-Aware Proxy
    • Lab: ​Authenticate ​users ​by ​using ​Firebase ​Authentication

    Module 8: Using ​Google ​Cloud Pub/Sub ​to ​Integrate ​Components of ​Your ​Application

    • Topics, ​publishers, ​and ​subscribers
    • Pull ​and ​push ​subscriptions
    • Use ​cases ​for ​Cloud ​Pub/Sub
    • Lab: ​Develop ​a ​backend ​service ​to ​process ​messages ​in ​a ​message queue

    Module 9: Adding ​Intelligence ​to Your ​Application

    • Overview ​of ​pre-trained ​machine ​learning ​APIs ​such ​as ​Cloud ​Vision API ​and ​Cloud ​Natural ​Language ​Processing ​API

    Module 10: Using ​Cloud ​Functions for ​Event-Driven ​Processing

    • Key ​concepts ​such ​as ​triggers, ​background ​functions, ​HTTP ​functions
    • Use ​cases
    • Developing ​and ​deploying ​functions
    • Logging, ​error ​reporting, ​and ​monitoring

    Module 11: : ​Using ​Cloud ​Endpoints to ​Deploy ​APIs

    • Open ​API ​deployment ​configuration
    • Lab: ​Deploy ​an ​API ​for ​your ​application

    Module 12: Debugging ​Your Application ​by ​Using ​Google Stackdriver

    • Stackdriver ​Debugger
    • Stackdriver ​Error ​Reporting
    • Lab: ​Debugging ​an ​application ​error ​by ​using ​Stackdriver ​Debugger and ​Error ​Reporting

    Module 13: Deploying ​an Application ​by ​Using ​Google ​Cloud Container ​Builder, ​Google ​Cloud Container ​Registry, ​and ​Google Cloud ​Deployment ​Manager

    • Creating ​and ​storing ​container ​images
    • Repeatable ​deployments ​with ​deployment ​configuration ​and templates
    • Lab: ​Use ​Deployment ​Manager ​to ​deploy ​a ​web ​application ​into Google ​App ​Engine ​Flex ​test ​and ​production ​environments

    Module 14: Execution Environments ​for ​Your ​Application

    • Considerations ​for ​choosing ​an ​execution ​environment ​for ​your application ​or ​service:
      • Google ​Compute ​Engine
      • Container ​Engine
      • App ​Engine ​Flex
      • Cloud ​Functions
      • Cloud ​Dataflow
    • Lab: ​Deploying ​your ​application ​on ​App ​Engine ​Flex

    Module 15: ​Monitoring ​and ​Tuning Performance

    • Best ​practices ​and ​watchpoints ​for ​performance
    • Key ​concepts ​related ​to ​Stackdriver ​Trace ​and ​Stackdriver ​Monitoring
    • Detecting ​and ​resolving ​performance ​issues
    • Lab: ​Use ​Stackdriver ​Monitoring ​and ​Stackdriver ​Trace ​to ​trace ​a request ​across ​services, ​observe, ​and ​optimize ​performance
    View Event
  • Architecting with Google Cloud Platform: Infrastructure

    (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 Cloud Platform: Infrastructure

    (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 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
  • 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
  • We're offering three days of Google Analytics training, along with two days of Google Ads training and workshops in Google Tag Manager, Google Data Studio, and Google Optimize! Visit our training page for info about the week or click on the links below for course-specific information.

    March 25, 2019
    Google Analytics 101
    Beginner

    March 26, 2019
    Google Analytics 201
    Intermediate

    March 27, 2019
    Google Analytics 301
    Advanced 

    March 27, 2019 
    Google Data Studio 101
    Intermediate  

    March 27, 2019
    Google Ads 101
    Beginner

    March 28, 2019
    Google Tag Manager 101
    Intermediate

    March 28, 2019
    Google Ads 201
    Intermediate

    March 29, 2019
    Google Optimize 101
    Intermediate

    View Event

  • Global Leaders 

    • Learn how to communicate online

    • Use of online tools

    • Interact with friends

    • How to use Google classroom

    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
  • This event allows members and non-members a chance to fellowship with each other. We will be exloring our life goals for the new year. Please note that this event is for adults only. [I apologize for not stating this earlier, but please adhere to this request. Thank you!]


    BRING: magazines and copies of pictures that you may want to include on your board...you may also bring a non-fussy, non-alcoholic beverage to share.


    LOOK UP: vision board on Google, Bing, or YouTube to become familiar with the vision board concept.

    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
  • CLAIMING YOUR BUSINESS ONLINE: GOOGLE, YELP, AND CITY WALKER

    It's more important then ever that your business information appears—and appears correctly— when people search online. Research shows that 4 out of 5 customers use a search engine before visiting businesses or purchasing items, and over 90% of customers are looking for specific information about businesses when using search engines — like business hours, promotions or deals, even available appointments. And, businesses that are online show revenue growth 4x higher than the previous year and are 3x as likely to create jobs. Let's make sure your business is taking advantage of what digital platforms have to offer. 

    You'll leave this session with tools and knowledge to claim your business and update your info on Google, Yelp, and City Waker, as well as tips and tricks for how to get found on Google Maps, respond to and utilize reviews, and engge with customers. 

    Coffee will be provided.

    Capitol Hill Business Sessions, educational sessions and seminars focusing on topics of interest to business owners, are a collaboration between Eastern Market Main Street (www.easternmarketmainstreet.org) and CHAMPS (www.capitolhill.org) and are open to businesses located on Capitol Hill.



    About CHAMPS

    As a local Chamber of Commerce, the Capitol Hill Association of Merchants and Professionals (CHAMPS) is a dynamic organization of Washington, D.C. business and community leaders dedicated to a strong economic environment for the Capitol Hill neighborhood. CHAMPS advocates, connects, and promotes Capitol Hill businesses.

    About Eastern Market Main Street

    The mission of Eastern Market Main Street is to capitalize on our historic assets and entrepreneurial culture to promote and retain our diverse, small businesses through the Main Street Four-Point Approach: Organization, Promotion, Design, and Economic Vitality. EMMS is an officially recognized DC Main Streets program and is funded in part by the Department of Small and Local Business Development.

    View Event
  • AI shapes how we work, eat, and love.

    Human biases are embedded in all innovations — that's a fact.

    And tech companies are taking notice.

    Join Out in Tech and Booz Allen Hamilton for a panel discussion about AI ethics, why it's important to get involved, and how AI impacts the LGTBQ+ community.

    Panelists:

    • Dr. Emily Denton, Researcher Scientist on Machine Learning Technology, Google

    • Kei Koizumi, Visiting Scholar, American Association for the Advancement of Science

    • Dr. Josh Sullivan, Senior VP, Analytics, Booz Allen Hamilton

    • Priyanka Oberoi, Data Scientist, Deep Learning Analytics 

    • Moderated by Alex Kotran, Director of Strategic Initiatives, The Future Society


    6:00pm | doors

    6:30pm | panel 

    8:00pm | social + networking

    Drinks & snacks available.  21+. 



    View Event
  • Interested in finding innovative solutions to the most urgent problems in the world? Join us for a panel to explore career opportunities at the intersection of tech and development, and find out how cutting-edge technology can be applied to issues such as poverty reduction and the refugee crisis. SFS graduates will share their experiences in policy, research, and consulting positions in the field.

    Co-sponsored with Georgetown Foreign Affairs, Science, & Technology.

    Panelists include:

    • Ria Bailey-Galvis (CLAS '13), International Relations Analyst, Public Policy & Government Relations, Google

    • Marshall Bennett (MSFS '13), SCO Communications Lead, NASA

    • Elizabeth Villarroel (Cybersecurity Strategy '18), Director of Transition & Stabilization, DAI Global

    Moderator:

    • Erwin Tiongson, Chair, International Development Concentration, Georgetown University Walsh School of Foreign Service

    This event is only open to Georgetown students and alumni. Professional attire is required.

    View Event
  • CALLING ALL NAIL TECHNICIANS!!!

    Joing us January 29, 2019 to learn more about MNB, an on-demand cosmetic platform for nail technicians.

    MNB brings the nail technician to the customer, whether the customer be at home/hotel/work. We aim to make nail care services convenient for customers and allow nail technicians to earn an extra stream of revenue. 

    Come learn about the available opportunities with MNB. 

               *Nail polish sponsors from companies like Cote and Flora 1761

               *Advance educational training

               *Providing nail care services for companies like: Google, WeWork, Nordstrom, and many more!

    Join us for great conversation, food, drinks and gifts at Dudley Beauty College from 7:00 pm to 8:30 pm. 

    Please RSVP below.

    We hope you will join us!


    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.


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  • 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.


    View Event
  • The Arts Meet! is partnering with Arlington Artist Alliance (https://arlingtonartistsalliance.org/) for January’s meetup at Gallery Clarendon on Monday, January 28th from 5:00pm to 7:30pm.

    Join us for a discussion on arts and community! Featuring a panel including local artists from a variety of fields, we will explore how community inclusion can shape how art is made and how community can shape the arts. Meet members from Arlington Artist Alliance, take in Gallery Clarendon’s current juried exhibit, Sign Of The Times, enjoy food and refreshments, and expand your view of what art and community can include. Panel discussion will start at 6pm.

    Gallery Clarendon (https://galleryclarendon.org/) is located at 2800 Clarendon Blvd., Suite R-800, Arlington, VA 22201. The Gallery entrance is located at southeast the corner of Clarendon Blvd and North Fillmore St. (Please note if you use Google Maps, they will bring you east of the entrance.)

    Directions: For Metro Train, use the Orange or Silver Lines to the Clarendon Station. Gallery Clarendon is a short 2 block walk from the metro station. Paid garage and street parking available with limited free street parking starting after 6pm.


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  • Presenting impactful and emerging tech applications from Silicon Valley to the greater U.S. government. Complex problems don’t always require complex solutions. Reinvent how to optimize your resources—people, processes and tools.

    Hear how senior leader experts from defense, federal and intelligence agencies are collaborating with academia and industry start ups to embrace and develop the next level of analytics, automation, efficiency and workforce to enable success.

    Agenda to include fireside chats and panels with senior leaders from NASA, National Geospatial-Intelligence Agency, Defense Innovation Unit, Department of Homeland Security, Health and Human Services Department, Small Business Administration, U.S. Digital Service, Army Research Lab, and Google. Exhibits to include live demos. Stay tuned for details.

    When: February 21, 2019

    Time: 7:30 to 11:30 a.m.

    Where: The Observation Deck at CEB Tower Box Office entrance is located directly across the street from the Rosslyn Metro, which is at 1850 North Moore Street.

    View Event
  • Overview

    NativeScript Training Introduction to NativeScript with Angular course teaches developers with zero NativeScript and Angular experience how to start from scratch and develop an application that will run on iOS and Android.

    Training Materials

    All attendees receive courseware and the latest/best NativeScript textbook as of the date of training.

    Software Needed on Each Student Machine
    • Google Chrome
    • Visual Studio Code
    • Node.js installed
    • Android tools set up and working
    • If developing for iOS, a Mac is required with XCode installed and configured
    • Other free software and lab files that Nuvious will specify
    Training Objectives
    • Use industry best practices to architect an Angular mobile application with NativeScript
    • Configure the development environment and set up the CLI
    • Use industry standard tools for NativeScript development, including TypeScript
    • Learning the core NativeScript concepts
    • Create, debug, and build a NativeScript with Angular application using the CLI approach

    See full course agenda...

    Student Prerequisites

    All attendees must have strong prior JavaScript and TypeScript experience. No prior NativeScript experience is necessary, but Angular experience is recommended.
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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.
    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 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.


    View Event
  • Acknowledging Leadership with an Impact & Kick-Off to Iota's 90th Anniversary

    Join Iota Phi Lambda Sorority,  Incorporated's  National Headquarters and Executive Office of the National Executive Director in hosting a celebration in honor of Mrs. Stephanie N. Dilworth, 22nd National President, as she enters her fourth year in leadership and the glorious kick-off to 90 years of Iota Phi Lambda Sorority, Incorporated, the First African American Business and Professional Women Sisterhood and Organization in the United States. 

    This event aims to celebrate Iota's 90 years of wisdom, dignity, independence, and creativity generated through its leadership and members from all five regions, both past and present,  while highlighting the honorable guest National President, Stephanie N. Dilworth and her Executive Board members.

    Shhhh! Please keep this a secret as she doesn't know the details.  We will take a quick trip down memory lane of her four-year term yielding determined, strategic, intentional work and achievements, while gearing up for Iota's future progression of celebrating 90 years as of June 1, 2019.  

    A tribute will be made, games will be had, music by DC's local DJ Knightrin will fill the room, food to be devoured, and good ole fashion Iota fun are all to be expected. 

    Members are asked to RSVP or send regrets no later than January 11th. If attending arrive no later than 8 PM.  Make sure to be bedazzled and blinged out in your emerald green and white with lots of accents of turtles and Iota Phi Lambda Sorority Inc. paraphernalia.  Attire is creative with your green and white, but no jeans. Check out our national vendors on www.iota1929.org.  

    If you cannot physically attend but would love to still contribute through the below options, provide the following:

    Option 1- Video Tribute.  Use your cell phone or video equipment to record a 40-second tribute to Mrs. Dilworth.  Assure that it is saved in the video format of MP4.   In a loud and clear manner state your name, chapter, how you met her, any impact she has had on you being a member of Iota or the organization in general. Email to vonetta.ipl.gammadc1@gmail.com or use the Google Drive link below to upload your video tribute. 

    https://drive.google.com/drive/folders/1qnOzZcvVzVgcfRrbwx3uNfMm5PCNp4jU?usp=sharing

    Deadline: January 5th 

    Option 2-  A Written Tribute to Stephanie Dilworth.   Email a note of appreciation to vonetta.ipl.gammadc1@gmail.com. 

    Deadline: January 10th 

    Option 3-  General donation of $19.29 to support a gift of relaxation for such hard work over the past four years. 

    Deadline:  January 10th

    Members traveling from out of town, accommodations are available at the venue where the event will be held.  Here is the phone number 1-888-HOLIDAY. However consider family, friends, or local chapter members residing in the local area.  

    Again this event is solely hosted and organized by the Executive Office of the National Executive Director.  Donations to support the implementation of this event are welcomed and will be accepted at a minimum of $20 per person, but not mandatory to attend. 

    Thank you in advance for your support, your work, and consideration of this celebration gathering.  I hope to see you on January 26th.   




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  • Death Positive DC will have its inaugural book club at Bump 'n Grind (a coffee shop) on Tuesday, Feb. 5, 2019. Our first book will be "From Here to Eternity: Traveling the World to Find the Good Death" by Caitlin Doughty. I (Sarah, founder of Death Positive DC) will arrive early to set up our seats. Please bring money if you want to buy coffee, tea, or food (vegan and gluten-free options available, see menu here https://bumpngrind.co/#menu). Bump 'n Grind closes at 8 pm so we will start promptly at 6:30. Questions? Email me at sarah@deathpositivedc.com 

    This will be a structured book club where we will explore questions and talking points related to the book, and everyone will have a chance to talk (sharing is always optional). We may also have time at the end for free-flowing discussions/questions about the book. 

    The Montgomery County and DC public library systems have many copies of this book (I am sure other county libraries do, too). It can be purchased from Amazon or other booksellers. If you need an audiobook version, try Audible or your local library. Caitlin Doughty reads the book herself for the audio version. 

    Bump 'n Grind should be about a seven minute walk (.3 miles) from the Silver Spring Metro on the Red Line (according to Google maps).

    According to the Bump 'n Grind website, "There is parking in the building, it is free on the weekends; On the street; Public Parking garages at 1315 East-West Highway, 1133 East-West Highway, and Kennett St. Garage."

    View Event
  • About This Event

    You’re invited to GA’s exclusive private hiring event to meet our latest cohort of web developers, who have honed their skills in General Assembly’s Web Development 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.  A unique set up, students will be presenting lightening rounds of their project, followed by an opportunity for you to walk through their portfolios, network, and have a drink on us! 

    We strongly encourage you to arrive by 5:30 to get the full experience of our students.
     

    Schedule: 

    5:00 PM - Doors Open for Open House Networking 

    5:30 PM - Presentations by each candidate on their web developer portfolio projects 

    6:00 PM - Happy Hour  

    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, Javascript, jQuery, HTML, CSS, Python, Django, Node, Express, Ember, 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.

    View Event
  • Confirmed attending institutions include 21st Century Fox, American Express, AB-Inbev, Analysis Group, Axinn, Bertelsmann, Bloomberg, Charles River Associates, Cleary Gottlieb, Delta, Deutsche Telekom, Eaton, French Competition Authority, General Electric, Georgia Pacific, Goldman Sachs Foundation, Google, Herbert Smith Freehills, Hong Kong Competition Commission, HP, Intel, Intesa Saopolo, Italian Competition Authority, Microsoft, Mingde Economic Research, News Corp., Nokia, Novartis, NYS Office of the AG, Open Markets Institute, Orrick, Pfizer, Qualcomm, Roschier, Sidley Austin, Skadden, Snapdeal, Stanford, Steptoe & Johnson, Uber, UK Financial Conduct Authority, US Court of Appeals for the District of Columbia, Visa, White & Case, Yale University, ...  

    2019 Antitrust Writing Awards

    Tuesday, March 26 2019 at the National Press Club

    6:30 - 7:45pm

    Welcome Drinks & Reception Cocktails 

    7:45 - 8:00pm 
    Welcome Remarks by William KOVACIC

    Professor, George Washington University Law School

    8:00 - 8:30pm

    Best Antitrust Soft Laws

    8:30 - 9:00pm 

    Academic Articles Antitrust Awards, presented by Isabelle de SILVA

    President, French Competition Authority

    9:00 - 9:40pm 

    Business Articles Antitrust Awards, presented by Noah Joshua PHILLIPS

    Commissioner, US Federal Trade Commission

    9:40 - 10:30pm 

    Dessert Buffet


    Dress Code: Business Attire 

    Attendance is limited to 100 guests, in addition to the Jury Members. 

    Read & vote on papers nominated for the 2019 Antitrust Writing Awards here.

    See the winners of last year's edition here

    View Event
  • Hello there,


    Happy new year 2019 to you all.

    Hope you enjoy the enjoy 2018 and specially the end of the year with family and friend for the festivity.

    Since this is a new year "2019", we are already back in business in Washington DC and Maryland for the diverse STEM activities for the kids on robotics, programming, 3D printing, 3D modeling and more.

    STEM robotics classes for kids in Washington DC and MAryland


    The go straight to the point, we are organising a robotics class for your kids where they can learn:

    • An intro to the basics of programming

    • Interact with a new software

    • Intro to robotics

    • Create a scenario for a robot

    • And have fun

    If you are available at the following dates:

    • Tuesday, January 15th 2019, from 7 to 8 pm

    • Tuesday, January 22nd 2019, from 7 to 8 pm

    Come join us at the Silver Spring Library in Maryland,  room 3-1, 3rd floor for more STEM robotics actvities for your kids

    We alo have another activity coming soon. It is called  Raspberry pi jam and will be on programming, robotics and electronic board. This is a 2 hours event which take place on Saturday, January 12th 2019 in Washington DC. You can subscribe with the following link: Raspberry pi Jam on robotics in Washington DC


    If you like these type of activities, you can also sign-up and stay tune to all our activities at the bottom of our website page (www.makersgeneration.net).

    You can also finfd us on the social medias (Facebook, Twitter, Google+, Instagram and Youtube).


    Can't wait to see you. ;-)

    View Event