Thursday, December 2nd @ 19:00 ET

Cloud Digital Leader Certification

Announcing a special launch for higher education students providing you with the opportunity to join an exclusive and invite-only round-table of students providing feedback of this new certification experience.

Participants who complete the experience will receive a no-cost opportunity to complete the Cloud Digital Leader certification.

What is a Cloud Digital Leader?

A Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. The Cloud Digital Leader can also describe common business use cases and how cloud solutions support an enterprise.

The Cloud Digital Leader exam is job-role agnostic and does not require hands-on experience with Google Cloud.

The Cloud Digital Leader exam assesses your knowledge in three areas:

• General cloud knowledge
• General Google Cloud knowledge
• Google Cloud products and services

Thursday, December 9th

Perform Foundational Infrastructure Tasks in Google Cloud Hands-on Workshop

Join Google Cloud Developer Advocate Ryan Matsumoto and learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies:

• Cloud Storage
• Identity and Access Management
• Cloud Functions
• Pub/Sub

Thursday, December 16th @ 19:00 ET

Join Google Cloud Customer Engineer Sayantani Goswami to learn more about the library of Google Cloud products you can use in coursework, hackathon projects, and just for fun!

Thursday, November 18th @ 19:00 ET

Ensure Access & Identity in Google Cloud - Part 2

Join a Google Engineer for a hands-on workshop experiencing how to:

• Recognize and assign roles and users using Identity and Access Management (IAM).
• Assign predefined roles and create custom roles.
• Create and manage service accounts. Securely enable private connectivity between resources in multiple virtual private clouds (VPCs).
• Restrict application access based on authentication using Identity-Aware Proxy.
• Set up a secure Cloud Storage bucket and view related audit logs.
• Manage keys and encrypted data using Key Management Service.
• Create a private Kubernetes cluster where nodes are not publicly accessible.

Thursday, November 11th @ 19:00 ET

Perform Foundational Data, ML, and AI Tasks in Google Cloud Hands-on Workshop

Join Google Cloud Infrastructure Engineer Darpan Shah and learn how to build and connect cloud infrastructure using the basic capabilities of the of the following technologies:

• AI Platform
• BigQuery
• Cloud Speech API
• Cloud Natural Language API
• DataFlow
• Dataprep
• Video Intelligence

Thursday, November 4th @ 19:00 ET

Ensure Access & Identity in Google Cloud

Join Google Cloud Software Engineer Pedro Silva and learn more about the many fundamental features of cloud security, including how to:

1. Recognize and assign roles and users using Identity and Access Management (IAM).
2. Assign predefined roles and create custom roles.
3. Create and manage service accounts.
4. Securely enable private connectivity between resources in multiple virtual private clouds (VPCs).
5. Restrict application access based on authentication using Identity-Aware Proxy.
6. Set up a secure Cloud Storage bucket and view related audit logs.
7. Manage keys and encrypted data using Key Management Service.
8. Create a private Kubernetes cluster where nodes are not publicly accessible.

Thursday, October 28th @ 19:00 ET

Exploring APIs

Join a Google Engineer for a hands-on workshop showcasing how Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically.

This workshop will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. RSVP for the workshop today.

Thursday, October 21st @ 19:00 ET

Flutter Development and Startup Namer

Flutter is Google's UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. Flutter works with existing code, is used by developers and organizations around the world, and is free and open source.

Part 1 - Flutter Development

Explore the fundamentals of Flutter application development in Part 1 of the workshop event! During the workshop you will build a "Hello World" Flutter application, design a frontend for a shopping application, and learn how to connect your Flutter applications to backend services. You will utilize a pre-provisioned development environment allowing minimal setup to get into the application code.

Part 2 - Flutter Startup Namer

Implement a simple app that generates proposed names for a startup company. You'll learn:

• How to write a Flutter app that looks natural on iOS, Android, and the web
• Basic structure of a Flutter app
• Finding and using packages to extend functionality
• Using hot reload for a quicker development cycle
• How to implement a stateful widget
• How to create an infinite, lazily loaded list

Thursday, October 14th @ 19:00 ET

Serverless Firebase Development

Wouldn’t it be awesome to kickoff your hackathon project with a confidence using Google Cloud?

Join Google Cloud Customer Engineer, Stenio Ferreira, for a hands-on workshop experiencing:

• Importing Data to a Firestore Database - upload existing data (a CSV file) to a Firestore serverless database in the cloud.
• Build a Serverless Web App with Firebase - create a serverless web app with Firebase, which allows users to upload information and make appointments with the fictional Pet Theory clinic.
• Deploy a Hugo Website with Cloud Build and Firebase Pipeline - learn how to deploy a static Hugo based website using Cloud Build and Firebase.
• Google Assistant: Build an Application with Dialogflow and Cloud Functions - build a Google Assistant application with Dialogflow and Cloud Functions for Firebase. 

Thursday, October 7th @ 19:00 ET

Build Apps & Websites with Firebase

Join Google Software Engineer Andrea Wu and learn how you can leverage Firebase in your class and hackathon projects.

Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations.

Thursday, September 30th @ 19:00 ET

Serverless Cloud Run Development

Join Google Cloud Software Engineer Rayan Dasoriya for a hands-on workshop where you will use Cloud Run to learn how to:

1. Use Cloud Run to connect and leverage data stored in Cloud Storage.
2. Build a resilient, asynchronous system with Cloud Run and Pub/Sub.
3. Build a REST API gateway using Cloud Run.
4. Build and expose service using Cloud Run.

Thursday, September 23rd @ 19:00 ET

Build Interactive Apps with Google Assistant

Join one of our most popular workshop facilitators, Google Cloud Developer Programs Engineer Laurie White, for a hands-on workshop where you will learn how to build Google Assistant apps, including how to:

1. Create an Actions project.
2. Integrate Dialogflow with an Actions project.
3. Test your application with Actions simulator.
4. Build an Assistant application with flash cards template.
5. Integrate customer MP3 files with your Assistant application.
6. Add Cloud Translation API to your Assistant application.
7. Use APIs and integrate them into your applications.

Thursday, September 16th @ 19:00 ET

Insights from Data with BigQuery

Join Google Cloud Customer Engineer Sireesha Pulipati for a hands-on workshop using BigQuery.

Projects and solutions are built upon data. Who doesn't love data? And analyzing data effectively and efficiently is step one in solving the world's needs in your next project. Prepare for the hackathon season and join a Google Cloud Engineer for a hands-on workshop using BigQuery.

Learn about the following basic features of BigQuery:

• Write SQL queries
• Create and manage database tables in Cloud SQL
• Query public tables, and load sample data into BigQuery
• Troubleshoot common Syntax errors with the Query Validator
• Use Google Apps Script
• Create a chart in Google Sheets, and export that data to Google Slides
• Create reports in Google Data Studio by connecting to BigQuery data

Thursday, September 9th @ 19:00 ET

Google App Engine

Join Google Cloud Engineer Thomas Munduchira for a hands-on workshop using Google App Engine.

Google App Engine applications are easy to create, easy to maintain, and easy to scale as your traffic and data storage needs change. With App Engine, there are no servers to maintain. You simply upload your application and it's ready to go.

App Engine applications automatically scale based on incoming traffic. load balancing, microservices, authorization, SQL and NoSQL databases, Memcache, traffic splitting, logging, search, versioning, roll out and roll backs, and security scanning are all supported natively and are highly customizable.

App Engine's environments, the Standard environment and the Flexible environment , support a host of programming languages, including Java, Python, PHP, Node.js, Go, etc.. The two environments give users maximum flexibility in how their application behaves since each environment has certain strengths. Read The App Engine Environments for more information.

This workshop uses the sample code from the Google Cloud Node.js Getting Started Guide

You will learn how to:

• Connect to computing resources hosted on Google Cloud via the web.
• Use Cloud Shell and the Cloud SDK gcloud command.
• How to create a Node.js Express application on Google App Engine.
• How to update the code without taking the server down.

Thursday, September 2nd @ 19:00 ET

Exploring Blockchain

Prepare for the hackathon season and join Google Cloud Developer Advocate Ryan Matsumoto for a hands-on workshop. Google Cloud's industry partner Block.one will be joining to introduce you to their company and how they utilize continuing education to stay up to date on the newest Google Cloud technologies.

Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this workshop you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud.

• Become aware of the cryptocurrency datasets updated in real-time in BigQuery
• Use data visualization tools to map datasets and transaction flows
• Explore interesting transaction questions and answers with advanced SQL queries
• Launch your own blockchain distributed ledger with the open source Hyperledger in GCP

Thursday, August 26th @ 19:00 ET

Perform Foundational Infrastructure Tasks in Google Cloud

Prepare for the hackathon season and join Google Cloud Customer Engineer Veda Shridharan for a hands-on workshop.

Learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

Thursday, August 12th @ 19:00 ET

Exploring Cryptocurrency

Prepare for the hackathon season and join Google Software Engineer Gonzalo Gasca Meza for a hands-on workshop exploring cryptocurrency with BQML.

1. Dig into the fates of the bitcoin transactions tied to the infamous 10,000 bitcoin pizza purchase. You will visualize the bitcoin pizza transaction using BigQuery and AI Notebooks.
2. Track cryptocurrency exchange trades with Google Cloud in real-time. We’ll walk through how to set up and configure a pipeline for ingesting real-time, time-series data from various financial exchanges and how to design a suitable data model, which facilitates querying and graphing at scale.

Thursday, August 5th @ 19:00 ET

Integrating chatbots into your hackathon projects

Wouldn’t it be awesome to have an accurate estimate of how long it will take for tech support to resolve your issue? Join us on August 5th and build a simple machine learning model for predicting helpdesk response time using BigQuery Machine Learning. You will then build a simple chatbot using Dialogflow, and learn how to integrate your trained BigQuery ML model with your helpdesk chatbot. The final solution will provide an estimate of response time to users at the moment a request is generated.

Prepare for the hackathon season and join Google Customer Engineer Kanchana Patlolla for a hands-on workshop showcasing how to Create ML Models with BigQuery ML. You learn how to use BigQuery ML to:

• Create machine learning models
• Create a classification model
• Create a forecasting model
• Implement a chatbot using Dialogflow for dynamic real-time responses

Thursday, July 29th @ 19:00 ET

Create Machine Learning models

Prepare for the hackathon season and join Google Customer Engineer Sagar Kewalramani for a hands-on workshop showcasing how to Create ML Models with BigQuery ML.

BigQuery Machine Learning (BQML, product in beta) enables users to create and execute machine learning models in BigQuery using SQL queries. The goal is to democratise machine learning by enabling SQL practitioners to build models using their existing tools and to increase development speed by eliminating the need for data movement. There is a newly available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. In this workshop you will use this data to create a model that predicts whether a visitor will make a transaction.

Thursday, July 22nd

Build Apps & Websites with Firebase

Join Google Software Engineer Andrea Wu and learn how you can leverage Firebase in your class and hackathon projects.

Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations.

Thursday, July 15th

Explore Machine Learning Models with Explainable AI

Join Google Cloud Engineering Manager, Cloud AI/ML, Karl Weinmeister and learn how to do the following using Explainable AI:

• Build and deploy a model to an AI platform for serving (prediction)
• Use the What-If Tool with an image recognition model
• Identify bias in mortgage data using the What-If Tool
• Compare models using the What-If Tool to identify potential bias

Thursday, July 8th

Create and Manage Cloud Resources

Join Google Cloud Engineer Kapil Anand for a hands-on workshop where you learn how to:

• Write gcloud commands and use Cloud Shell
• Create and deploy virtual machines in Compute Engine
• Run containerized applications on Google Kubernetes Engine
• Configure network and HTTP load balancers

RSVP for the events: goo.gle/CloudSpeakerSeriesRSVP

Thursday, July 1st

Integrate with Machine Learning APIs

Join Google Cloud Software Engineer Haniel Diaz and learn the basic features for the following machine learning and AI technologies:

• Cloud Vision API
• Cloud Translation API
• Cloud Natural Language API

RSVP for the events: goo.gle/CloudSpeakerSeriesRSVP

Thursday, June 17th

Perform Foundational Data, ML, and AI Tasks in Google Cloud Hands-on Workshop

Join Google Cloud Developer Programs Engineer Laurie White and learn the basic features for the following machine learning and AI technologies:

• BigQuery
• Cloud Speech AI
• Cloud Natural Language API
• AI Platform
• Dataflow
• Cloud Dataprep by Trifacta
• Dataproc
• Video Intelligence API

Thursday, June 10th

Perform Foundational Infrastructure Tasks in Google Cloud Hands-on Workshop

Join Google Cloud Developer Advocate Ryan Matsumoto and learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies:

• Cloud Storage
• Identity and Access Management
• Cloud Functions
• Pub/Sub

Thursday, June 3rd

Build Interactive Apps with Google Assistant Hands-on Workshop

Join Google Developer Ecosystems Program Manager Kyle Paul and learn how to build Google Assistant applications, including how to:

1. Create an Actions project.
2. Integrate Dialogflow with an Actions project.
3. Test your application with Actions simulator.
4. Build an Assistant application with flash cards template.
5. Integrate customer MP3 files with your Assistant application.
6. Add Cloud Translation API to your Assistant application.
7. Use APIs and integrate them into your applications.

Thursday, May 27th

Build a Website on Google Cloud Hands-on Workshop

Join Google Cloud Technical Solutions Engineer Sanjog Sharma and learn more about using Google Cloud to build your dynamic website, including how to:

1. Deploy a website on Cloud Run.
2. Host a web app on Compute Engine.
3. Create, deploy, and scale your website on Google Kubernetes Engine.
4. Migrate from a monolithic application to a microservices architecture.

Thursday, May 20th

Insights from Data with BigQuery Hands-on Workshop

Join Google Cloud Engineer Laurie White and learn more about the many features of BigQuery, including how to:

• Write SQL queries
• Create and manage database tables in Cloud SQL
• Query public tables
• Load sample data into BigQuery
• Troubleshoot common Syntax errors with the Query Validator
• Use Google Apps Script
• Create a chart in Google Sheets
• Export that data to Google Slides
• Create reports in Google Data Studio by connecting to BigQuery data

Thursday, May 13th

Google Cloud Ensure Access & Identity Hands-on Workshop

Join Google Cloud Software Engineer Pedro Silva and learn more about the many fundamental features of cloud security, including how to:

1. Recognize and assign roles and users using Identity and Access Management (IAM).
2. Assign predefined roles and create custom roles.
3. Create and manage service accounts.
4. Securely enable private connectivity between resources in multiple virtual private clouds (VPCs).
5. Restrict application access based on authentication using Identity-Aware Proxy.
6. Set up a secure Cloud Storage bucket and view related audit logs.
7. Manage keys and encrypted data using Key Management Service.
8. Create a private Kubernetes cluster where nodes are not publicly accessible.

Thursday, May 6th

Machine Learning Hands-on Workshop

Join Google Cloud’s Developer Advocate Ryan Matsumoto and learn how to get started with Google Cloud's pre-trained machine learning APIs. In this workshop, you'll get hands-on practice with:

• Natural Language API
• Vision API
• Translation API

Thursday, April 29th

Video Intelligence API

Join Google Cloud’s Developer Advocate Karl Weinmeister for hands-on practice with Video Intelligence, BQML, and What-If Tool and other key application services:

• Create the core components of a simple vision-based system to analyze a tennis serve using the Video Intelligence API and a pretrained AutoML Vision Object Detection model
• Use Pose Detection to calculate the position of a tennis player’s body positioning during a game
• Use a pretrained AutoML Vision Object Detection model to track the speed of the tennis ball
• Use BigQuery to create machine learning models for datasets to create models that predict whether a visitor will make a transaction.
• Identify potential biases in a model trained on mortgage loan applications using the What-If tool.

Thursday, April 22nd

Security & Identity Fundamentals

Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.

Thursday, April 15th

Intro to ML: Language Processing

It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.

Thursday, April 8th

Build Apps & Websites with Firebase

Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations.