Classes: 

• Dec 1 (9am - 12pm CST): Writing Effective Prompts for Generative AI

• Nov 24 (8am - 11am CST): Gemini Code Assist 

• Nov 20-21 (8am - 12pm CST): Gemini in BigQuery for Data Practitioners

• Nov 17 (8am - 11am CST): Google Kubernetes Engine for Developers Essentials

• Nov 3-4 (8am - 12pm CST): Empower Decision Makers with Generative AI

• Oct 30-31 (8am - 12pm CDT): Deploy Multi-Agent Systems with Agent Development Kit & Agent Engine

• Oct 27-28 (8am - 12pm CDT): Develop Search and Agents with AI Applications

• Oct 23-24 (8am - 12pm CDT): Developing Data Models with LookML

• Oct 22-23 (8am - 12pm CDT): Generative AI in Production

• Oct 20-21 (8am - 12pm CDT): Introduction to Developer Efficiency with Gemini on Google Cloud

• Oct 16 (8am - 11am CDT): Industry Use Cases for Generative AI

• Oct 14-15 (8am - 12pm CDT): Introduction to AI & ML on Google Cloud

• Oct 9 (8am - 11am CDT): Google Agentspace and NotebookLM Essentials 

• Oct 8-9 (8am - 12pm CDT): Google Cloud Infrastructure for AWS Professionals

• Oct 6-7 (8am - 12pm CDT): Google Cloud Infrastructure for Azure Professionals

• Oct 2-3 (8am - 12pm CDT): Application Development with LLMs on Google Cloud

• Sept 29-30 (8am - 12pm CDT): Introduction to AI & ML on Google Cloud

• Sept 24-25 (8am - 12pm CDT): Introduction to Data Analytics on Google Cloud

• Sept 24-25 (8am - 12pm CDT): Generative AI in Production

• Sept 22-23 (8am - 12pm CDT): Introduction to Data Engineering on Google Cloud

• Sept 18-19 (8am - 12pm CDT): Empower Decision Makers with Generative AI

• Sept 16-17 (8am - 12pm CDT): Develop Search and Agents with AI Applications

• Sept 15-16 (8am - 12pm CDT): Google Cloud Platform for AWS Professionals

• Sept 15 (8am - 13:30am CDT): Introduction to Google Agentspace

• Sept 10-11 (8am - 12pm CDT): Google Cloud Infrastructure for Azure Professionals

• Sept 10-11 (8am - 12pm CDT): Google Cloud Infrastructure for AWS Professionals

• Sept 8 -9: Google Cloud Platform for Azure Professionals

• Sept 8: Google Cloud 101

• August 28:  Agentspace and Notebook LM Enterprise  

• August 25-26:  Vertex AI & Generative AI Security

• August 25-26:  Application Development with LLMs on Google Cloud

• August 18-19:  Application Development with LLMs on Google Cloud

• August 14:  Gemini Code Assist 

• August 11-12:  Introduction to Data Analytics on Google Cloud

• August 6-7: Introduction to AI & ML on Google Cloud

• August 6-7: Deploy Multi-Agent Systems with Agent Development Kit & Agent Engine

• August 7: Agentspace and Notebook LM Enterprise Essentials  

• August 4: Introduction to Google Agentspace

• July 28-29: Generative AI in Production

• July 21-22: Introduction to AI & ML on Google Cloud

• July 14-15: Introduction to Developer Efficiency with Gemini on Google Cloud

• July 9-10 : Empower Decision Makers with Generative AI 

• July 7-8: Develop Search and Agents with AI Applications 

• May 22: Vertex AI for Machine Learning Practitioners

• May 16: Vertex AI Agent Builder

• March 24-26: Hands-On Kubernetes

• March 25: Introduction to AI and Machine Learning on Google Cloud

• February 11-12: Architecting with Google Kubernetes Engine

• January 14-16 & 21-22: Hands-On Kubernetes

• November 14-15, 2024: Architecting with Google Kubernetes Engine

Certification Cohorts: 

Associate Cloud Engineer (ACE) 

• January-March cohort

Professional Cloud Architect (PCA) 

• February - April cohort

Professional Machine Learning Engineer (PML)

• March - May cohort

Generative AI Leader (GAIL)

• Oct 20 - 21 

• July 21 - 22

Re-Certification Two-Day Exam Prep Classes: 

Associate Cloud Engineer (ACE) 

• Aug. 20-21 (8am-1pm CDT)

• June 16-17 (9am-2pm BST)

• June 11-12 (9am-2pm CDT)

• April 17-18 (9am-2pm BST)

• April 10-11 (9am-2pm IST)

• April 3-4 (9am-2pm CDT)

• February 10-11 (9am-2pm GMT)

• February 5-6 (9am-2pm IST)

• January 30-31 (9am-2pm CST)

Cloud Digital Leader (CDL) 

• Sept 22-23 (8am-1pm CDT)

• July 7-8   (9am-2pm CDT)

• May 22-23 (9am-2pm BST)

• May 20-21 (9am-2pm IST)

• May 12-13 (9am-2pm CDT)

• February 12-13 (9am-2pm GMT)

• February 3-4 (9am-2pm GMT)

Professional Cloud Architect (PCA) 

• Sept 11-12 (8am - 1pm CDT)

• July 23-24  (9am-2pm CDT)

• April 24-25 (9am-2pm BST)

• April 15-16  (9am-2pm CDT)

• April 3-4  (9am-2pm IST)

• February 12-13 (9am-2pm CST)

• January 29-30 (9am-2pm GMT)

Professional Cloud DevOps Engineer  (DevOps)

• Oct 8 - 9 (8am - 1pm CDT)

• June 18-19 (9am-2pm CDT)

Professional Cloud Security Engineer (PCSE)   

• June 24-25 (9am-2pm BST)

• June 18-19 (9am-2pm CDT)

Professional Data Engineer (PDE)  

• Aug. 13-14 (8am-1pm CDT)

• June 24-25 (9am-2pm CDT)

• June 9-10 (9am-2pm BST)

• April 23-24 (9am-2pm BST)

• April 15-16 (9am-2pm IST)

• April 7-8 (9am-2pm CDT)

• February 10-11 (9am-2pm CST)

• February 3-4 (9am-2pm GMT)

One-Hour Workshops: 

• Dec 3: Architecting with Google Cloud: Deploying Apps to Cloud Run  (part 1 of a 3-part series)

• Nov 26: Architecting on Google Cloud: Kubernetes  (part 4 of 4-part series)

• Nov 19: Architecting on Google Cloud: Storage and Database Solutions  (part 3 of 4-part series)

• Nov 12: Architecting on Google Cloud: Deploying Scalable Web Sites and Services  (part 2 of 4-part series)

• Nov 5: Architecting on Google Cloud: VPC Networking  (part 1 of 4-part series)

• Oct 29: Building a Machine Learning Model with Vertex AI AutoML 

• Oct 22: Getting Started with BigQuery Data Governance & Cataloging

• Oct 15: Securely Migrating Data to Google Cloud

• Oct 8: Understanding the AI Lifecycle on Google Cloud Workshop

• Oct 1: Optimizing BigQuery for Performance and Cost Efficiency Workshop

• Sept 24: Responsible AI on Google Cloud: Principles and Practices

• Sept 17: Integrating Generative AI into Business Applications on Google Cloud

• Sept 10: Building Scalable Data Pipelines with Google Cloud Dataflow

• Aug 27: Customizing and Fine-tuning Foundational Models on Vertex AI

• Sept 3: Data Preprocessing and Feature Engineering for Machine Learning on Google Cloud

• Aug 20: Introduction to Vertex AI Workbench for ML Development

• Aug 13: Retrieval-Augmented Generation (RAG) with Vertex AI and Your Data

• Aug 6: Gemini Models on Vertex AI Studio

• July 30: Mastering the Prompt

• July 23: BigQuery Data Pipelines

• July 16: Data Governance with GenAI   

• July 14: Google Cloud 101 

• July 9: Building Chatbots with Vertex AI Agent Builder

• July 2: GenAI for Data Exploration in BigQuery

• June 18: Data Governance in BigQuery 

• June 25: Introduction to AutoML on Vertex AI

• June 4: Visualizing Data Insights with Looker Studio and BigQuery 

• June 11: Security Best Practices for Data & AI 

• May 28: API Fundamentals with Apigee: Managing & Securing Your First API

• May 22: Building ML Models with BigQuery ML

• May 19: Google Cloud 101

• May 14:  Mastering the Prompt

• May 7: Industry Use Cases for Generative AI

• April 30: Networking and Hybrid Cloud Connectivity

• April 28: Google Cloud 101

• April 23: Security & Identity Management in GC

• April 16: Machine Learning Operations (ML Ops) on Google Cloud

• April 14: Google Cloud 101

• April 9: Cloud SQL & Database Modernization

• April 2: Automation Using AI/ML Features

• March 26: API Management with Apigee 

• March 19: Data Analytics with BigQuery & Dataproc  

• March 12: Serverless Computing with Cloud Functions and Cloud Run 

• March 5: Cost Optimization 

• February 26: Spanner

• February 19: BigQuery

• February 5: Vertex AI

• January 29: Cloud Storage and Data Management

• January 22: Observability (Monitoring, Tracing, Logging)

2024: 

• December 11: GenAI for Developers

• December 4: DevOps

• November 20: Logging & Monitoring in Google Cloud

• November 13: Terraform

• November 6: Machine Learning

• October 29: Kubernetes

• October 23: Docker

• October 16: Python

• October 9: Security in Google Cloud

• October 2: Networking in Google Cloud

• September 25: Architecting with Google Kubernetes Engine