Google AI Professional
Professional Google Cloud AI program—build production GenAI and ML solutions with Vertex AI, Gemini API, RAG, agents, MLOps, and enterprise governance aligned to Google Cloud AI professional roles.
4.8
(410 students)
8 Weeks · 58 hours
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What is this course about?
Google AI Professional
Vertex AI · Gemini API · RAG · Agents · MLOps
Build production generative AI on Google Cloud—Vertex AI architecture, Gemini APIs, RAG, agentic workflows, MLOps, and enterprise governance. For professionals ready to ship secure GenAI beyond essentials labs.
What you'll walk away with:
- Production Vertex AI solution patterns with secure IAM and networking
- Gemini API apps with multimodal, streaming, and function-calling skills
- RAG pipelines with Vector Search, grounding, and retrieval evaluation
- Agentic assistants, MLOps monitoring, and cost-aware operations
- A capstone enterprise GenAI deployment ready for portfolio review
Course Features
Post Graduate Diploma
8 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Rohan Kapoor
Vertex AI architecture plus Gemini function-calling labs mirror what we ship. RAG grounding lab became our internal reference.
Zoho Cloud AIEmily Zhang
Production-depth agents and MLOps—not console demos. Capstone enterprise GenAI deploy was interview-ready for GCP AI roles.
Accenture Google Cloud PracticeVikram Nair
Vector Search tuning and citation patterns finally clicked. Cost and monitoring labs matched how we operate Vertex endpoints.
Flipkart AI PlatformSofia Alvarez
IAM, VPC, and responsible AI governance modules sealed the deal. Best professional Google Cloud AI curriculum our team has used.
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