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?
This pathway connects the visible magic of GenAI to the engineering beneath it. Learn how models behave, how retrieval grounds answers, and how to turn a prompt into an application people can trust.
What you will learn
From understanding to application.
Understand how LLMs generate, reason, and fail
Write prompts and structured instructions that improve output quality
Build a RAG workflow with embeddings and a vector database
Work with multimodal AI across text, image, audio, and documents
Ship a useful AI application with a clear evaluation plan
The curriculum
A focused, useful sequence.
Move from LLM foundations and prompt design into embeddings, RAG, multimodal inputs, evaluation, and a capstone application.
LLM foundations and model selection
Live instruction, guided practice, and feedback.
Prompt engineering, structured outputs, and evaluation
Live instruction, guided practice, and feedback.
Embeddings, semantic search, and vector databases
Live instruction, guided practice, and feedback.
Retrieval-augmented generation (RAG)
Live instruction, guided practice, and feedback.
Multimodal AI and document intelligence
Live instruction, guided practice, and feedback.
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.
Pricing
Choose your way in.
Every plan includes live mentor guidance, practical projects, recordings, community access, and a certificate of completion.
Corporate and private cohorts are available with custom pricing. Talk to us about teams.
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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