GCP AI Engineer Mastery: GenAI, RAG & Agentic AI (2025 Edition)

GCP AI Engineer Mastery: GenAI, RAG & Agentic AI (2025 Edition)

Learn to build intelligent applications on Google Cloud using Generative AI, RAG, and agentic AI. Covers Vertex AI, embeddings, vector search, AI orchestration, security, and scalable production deployments.

  • 7 Phases
  • 14 Lessons
  • 3.7 Hrs
  • Beginner Advanced
Category Cloud computing
GCP AI Engineer Mastery: GenAI, RAG & Agentic AI (2025 Edition)
Learning Path 14 Lessons 3.7 Hrs

Start Phase
  • Generative AI on Google Cloud – Getting Started & Core Tools 28
  • Vertex AI API Practical Tutorial 8

Start Phase
  • Prompt Engineering with Vertex AI Gemini (Hands-on Lab) 3
  • Embeddings & Text Understanding with Vertex AI 34

Start Phase
  • RAG Patterns & Architectures on Google Cloud 4
  • Vector Search & Vector Databases on Google Cloud 10

Start Phase
  • Fine-Tuning LLMs on Google Cloud 11
  • LLM Evaluation & Monitoring with Open-Source Tools 35

Start Phase
  • Building AI Agents with Vertex AI Agent Builder 15
  • Tool Use & Function Calling with Gemini Models 9

Start Phase
  • AI Infrastructure on Google Cloud – TPUs & Scaling 6
  • Identity & Access Management (IAM) for AI Workloads on GCP 26
  • AI Security & Risk Protection on Google Cloud 5

Start Phase
  • Capstone: End-to-End RAG Application on Google Cloud 27

Start your GCP AI Engineer Mastery: GenAI, RAG & Agentic AI (2025 Edition) journey

Learn at your own pace. Total estimated time 3.7 hours

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