Registration Portal for
Google Cloud Instructor-Led Training
Google Cloud Instructor-Led Training
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)
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