GCP-GAIL: Generative AI Leader
Exam Information
- Provider: Google Cloud
- Exam Code: GCP-GAIL
- Official Exam Page: Generative AI Leader Certification
- Exam Duration: 120 minutes
- Number of Questions: ~50-60 questions
- Passing Score: Pass/Fail (Approx. 70%)
- Exam Format: Multiple choice, multiple select
Note Freshness
Prepared: January 2026 Last Updated: 2026-01-17
Exam content regarding Gemini and Model Garden updates frequently. Always verify with official documentation.
Overview
The Generative AI Leader certification validates your ability to design, implement, and monitor Generative AI solutions using Google Cloud's Vertex AI platform and Gemini models.
Target Audience:
- AI Solution Architects
- Data Engineers
- IT Decision Makers
- ML Engineers
Prerequisites:
- Foundational knowledge of Cloud Computing
- Familiarity with Python or API structures
- Understanding of Machine Learning lifecycles
Study Materials
🎯 Exam Objectives
Official AI domains and model tuning objectives
📚 Study Notes
Detailed notes on Prompt Engineering, RAG, and Vertex AI
⚡ Quick Refresher
Last-minute cram session for Gemini and PaLM 2 parameters
💡 Exam Tips & Strategy
Distinguishing between Tuning vs. Distillation vs. RAG
Study Progress
GCP-GAIL Study Progress
0/40%
💾 Progress is saved in your browser's local storage. Clearing your browser data will reset your progress.
Additional Resources
Video Courses
Official Documentation
- Vertex AI Documentation
- Generative AI on Vertex AI
- Model Garden Overview
- Gemini API Documentation
- Video Understanding with Gemini
Learning Paths
- Google Cloud Skills Boost: Gen AI Learning Path
- Google Skills Learning Path
- Introduction to Generative AI
- Introduction to Large Language Models
- Prompt Design in Vertex AI
Hands-on Labs & Code
- Vertex AI Studio Lab
- Build a RAG Application
- Embeddings and Vector Search
- GoogleCloudPlatform/generative-ai GitHub - Sample code and notebooks for Gemini on Vertex AI
Responsible AI
Last Updated: 2026-01-17