Build RAG Applications on Google Cloud – Course Overview Overview
This Google Cloud RAG course is a comprehensive, hands-on training program designed to help learners build end-to-end Retrieval-Augmented Generation (RAG) applications using Google Cloud Platform. The course covers key technologies including Vertex AI (Gemini), Vector Search, BigQuery, Cloud Storage, and Cloud Run, enabling learners to design, develop, and deploy enterprise-ready AI systems.
Through a structured learning approach, participants gain practical experience in document ingestion, embedding generation, retrieval workflows, and grounded response generation. By the end of the program, students will be able to build secure, scalable AI assistants and deploy them in real-world cloud environments with confidence.
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Build RAG on Google Cloud Using Vertex AI Curriculum
Understand cloud computing basics, Google Cloud Platform (GCP) services, and the fundamentals of Generative AI. Learn what Retrieval-Augmented Generation (RAG) is and why it is important for building accurate AI applications.
Learn IAM concepts including users, roles, permissions, and service accounts. Implement secure access control for cloud resources.
Understand how to store and manage documents for AI applications using Google Cloud Storage and organize enterprise data effectively.
Learn how large language models work, why hallucinations occur, and how grounding improves response accuracy in AI systems.
Explore the full RAG pipeline including ingestion, chunking, embeddings, vector storage, retrieval, and response generation.
CAREER GROWTH
Your Career Path
Climb the ladder of success with structured role progression.
1
Beginner / AI Enthusiast
Step 1
2
Cloud & AI Foundations Learner
Step 2
3
RAG Application Developer
Step 3
4
Cloud AI Engineer (Google Cloud)
Step 4
5
Generative AI Engineer
Step 5
1
Beginner / AI Enthusiast
Step 1
2
Cloud & AI Foundations Learner
Step 2
3
RAG Application Developer
Step 3
4
Cloud AI Engineer (Google Cloud)
Step 4
5
Generative AI Engineer
Step 5
6
AI Solutions Architect
🎯 Target Role
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