Google Cloud AI Study Jam: #ChaiyoGCP Season 6

#ChaiyoGCP is an online Google Cloud self-study program designed for developers in Thailand. It provides access to hands-on Google Cloud labs and fosters learning through a supportive community of peers.

Unleash your AI potential this season with Gemini, Vertex AI and Agent Development Kit! Explore cutting-edge labs, connect with industry experts, and level up your skills in AI/ML, Data, Infrastructure, and Security with free access to Google Skills.

Complete at least 8 badges (including at least 5 skill badges) starting from March 19 - April 12, 2026 to stand a chance to win a cool swag pack!

Why should you be a part of #ChaiyoGCP?

1. Get free access to Google Cloud Skills Boost.
2. Be part of our community on on Discord: goo.gle/chaiyoGCP-chat
3. Earn skill badges to score cool Google Cloud Swags by completing a minimum of 8 badges (with a minimum of 5 Skill Badges). The more Skill Badge you complete, the higher your chance. Limited redemption applies.

💡Pro tip: Submit your Completion Form after you completed the labs as soon as possible to boost your chance.

Registration

1. Start your journey today! Register now and receive a welcome email with all the details.
2. Kick-off Session: Join us on Sunday, March 22, 2026, 9:30-17:00 (GMT+7). Register your interest here.
3. Join our Community: Connect with others for continued support and collaboration in our vibrant community via Discord Community

📢 Important Notes

How Winners are determined:

• Your rank is determined by the number of badges you completed.
• The first 200 submissions of the Completion Form will give you higher change to win.
• Only registered participants who completed the Completion Form would be eligible to win.

Prizes:

• Tier 1: The highest rank who also has completed a minimum of 15 badges (with a minimum of 8 Skill Badges), will win T-shirt & Stickers
• Tier 2: The highest rank who also has completed a minimum of 8 badges (with a minimum of 5 Skill Badges), will win T-shirt, Laptop Sleeve and Stickers.
• The top 30 participants who complete the most labs will win a set of Special Swag which contains a Backpack, T-shirt, Laptop Sleeve and Stickers.

Only Badges completed from March 19 00:01 AM - April 12, 2026 23:59 PM will be eligible.

Swag will be delivered exclusively to eligible participants with addresses within Thailand.

Skill Badges:

• Automate Data Capture at Scale with Document AI
• Cloud Run Functions: 3 Ways
• Configure Service Accounts and IAM Roles for Google Cloud
• Create ML Models with BigQuery ML
• Deploy Kubernetes Applications on Google Cloud
• Deploy Multi-Agent Architectures
• Develop Gen AI Apps with Gemini and Streamlit
• Develop Serverless Applications on Cloud Run
• Engineer Data for Predictive Modeling with BigQuery ML
• Enhance Gemini Model Capabilities
• Implement Cloud Security Fundamentals on Google Cloud
• Implement Multimodal Vector Search with BigQuery
• Kickstarting Application Development with Gemini Code Assist
• Manage Kubernetes in Google Cloud
• Mitigate Threats and Vulnerabilities with Security Command Center
• Monitor and Log with Google Cloud Observability
• Monitoring in Google Cloud
• Perform Predictive Data Analysis in BigQuery
• Prompt Design in Vertex AI
• The Basics of Google Cloud Compute
• Use APIs to Work with Cloud Storage

Regular Badges:

• Agent Assist and its Gen AI Capabilities
• AI Boost Bites: Automate tasks with Gemini and Apps Script
• Build AI Agents with Enterprise Databases
• Build Generative AI Agents with Vertex AI and Flutter
• Build intelligent agents with Agent Development Kit (ADK)
• Create Agents with Generative Playbooks
• Create Embeddings, Vector Search, and RAG with BigQuery
• Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
• Gemini for Application Developers
• Gemini for Cloud Architects
• Gemini for DevOps Engineers
• Gemini for Network Engineers
• Gemini for Security Engineers
• Google Cloud Computing Foundations: Cloud Computing Fundamentals
• Introduction to Security in the World of AI
• Model Armor: Securing AI Deployments
• Streamline App Development with Gemini Code Assist
• Vector Search and Embeddings
• Vertex AI Search for Commerce