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Generative AI course

Generative AI course in Chennai: from prompts to production.

Build a practical foundation in LLMs, prompt engineering, embeddings, RAG, vector databases, multimodal AI, and the applications teams are shipping now.

Quick answer

What is this page about?

Build a practical foundation in LLMs, prompt engineering, embeddings, RAG, vector databases, multimodal AI, and the applications teams are shipping now. The pathway is intended for beginners, professionals, and builders who want real genai fluency and emphasizes practical application over passive theory.

What you will learn

From understanding to application.

01

Understand how LLMs generate, reason, and fail

02

Write prompts and structured instructions that improve output quality

03

Build a RAG workflow with embeddings and a vector database

04

Work with multimodal AI across text, image, audio, and documents

05

Ship a useful AI application with a clear evaluation plan

The curriculum

A focused, useful sequence.

Learn the right concepts in the right order, then put them to work on a portfolio-ready project.

01

LLM foundations and model selection

Live instruction, guided practice, and feedback.

02

Prompt engineering, structured outputs, and evaluation

Live instruction, guided practice, and feedback.

03

Embeddings, semantic search, and vector databases

Live instruction, guided practice, and feedback.

04

Retrieval-augmented generation (RAG)

Live instruction, guided practice, and feedback.

05

Multimodal AI and document intelligence

Live instruction, guided practice, and feedback.

06

Capstone: build and present a GenAI application

Live instruction, guided practice, and feedback.

Frequently asked

Start with clarity.

Generative AI course in Chennai: from prompts to production. is designed with a clear starting point, guided practice, and mentor support. Beginners can start with the foundations before moving into applied projects.

VG

Meet your mentor

Vijay Gurunathan

Founder & Chief Architect

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17+ years of industry experienceAI engineering researcher & practitionerEnterprise and cloud architectureFormer HCL, Verizon, Ford, Daimler, Zensar, Fractal.ai

Find your path

Which AI course is right for you?

Answer four quick questions and get a practical recommendation, learning roadmap, and next step.

Where are you starting?

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Make your next move

Ready to build your AI advantage?

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