4–6 months · Beginner to Advanced
Full-Stack AI Developer Course
Learn frontend, backend, databases, AI APIs, RAG, AI agents and deployment in one job-oriented program.
Course syllabus and projects
RAG & Vector Database Course in Chennai
Build private document chatbots, semantic search and enterprise knowledge assistants using embeddings and vector databases.
Live ProjectsMentor SupportOnline + ChennaiPortfolio Focus
Admissions Open
Full-stack + AI career roadmap
ReactNext.jsLaravelNode.jsPython AIRAGAgentsDeployment
Build websites, APIs, mobile apps and AI-powered products with practical guidance.
What you will learn
RAG & Vector Database Course syllabus
The course is designed around practical modules, assignments, code reviews and portfolio-ready project work.
- Module 1RAG architecture and retrieval flow
- Module 2Text chunking strategies
- Module 3Embedding model concepts
- Module 4Vector database indexing
- Module 5PDF and document ingestion
- Module 6Prompt grounding and citation patterns
- Module 7Evaluation and hallucination reduction
Projects included
- PDF chatbot
- Company knowledge assistant
- Policy document search
- Course material search bot
- Support knowledge base AI
Learning outcomes
- Build document chatbots for real use cases
- Understand semantic search and embeddings
- Create AI assistants using private data
- Improve answer quality using retrieval design
Course support
Learn with a clear roadmap and project practice
Each main course page focuses on syllabus, skills, projects, fees guidance and career outcomes. For admission, batch timing or counselling, contact the academy directly.
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Need the right roadmap?
Share your current skill level and goal. We will suggest the best course path, batch timing and project plan.
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