DS
Deepak Suhag
🤖Generative AI

Generative AI Course — build with LLMs, not just talk about them.

Prompt engineering, RAG pipelines, agents and evals — the practical skills behind real GenAI products.

6 weeks📶 Intermediate4.9 ★💰 ₹12,999
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Anyone can paste a prompt into ChatGPT. This course teaches the actual engineering behind production GenAI — retrieval, evaluation, guardrails and agentic workflows.

What you'll learn

Course outcomes

Every module ships with a working tool or template you keep using after class.

🔗

Build a RAG pipeline end to end

From document ingestion to vector search to grounded generation.

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Design production prompt chains

Structured prompts and function calling that don't break on edge cases.

🛡️

Set up evals and guardrails

Automated evaluation suites so quality doesn't silently regress.

🤖

Ship an AI agent project

A working agentic workflow you can show in interviews or to clients.

Built for builders

Every module ends with something working — a RAG pipeline, an agent, an eval suite — not just slides about what LLMs are.

Who this is for

  • Engineers who want to add GenAI to their toolkit
  • Technical founders building AI features
  • Data/ML practitioners moving into applied GenAI
Curriculum

Week-by-week breakdown

A clear, transparent syllabus — no surprises.

01📖

Foundations of LLMs & prompting

How LLMs actually work, and how to prompt them reliably.

02🔍

RAG & vector databases

Retrieval-augmented generation with Pinecone, pgvector or Weaviate.

03🤖

Agents & tool use

Building agents that call tools and complete multi-step tasks.

04🛡️

Evals, guardrails & deployment

Testing, safety and shipping GenAI features to production.

FAQ

Common questions

Can't find what you're looking for? Ask directly →

01Do I need Python experience?

Basic Python is recommended — the course focuses on architecture, not syntax.

02Which LLM providers do you cover?

OpenAI, Anthropic (Claude), and open-source models.

03Is this the same as the AI Product Management course?

No — this is hands-on engineering (building pipelines and agents); the PM course is scoping and strategy.

04Do I get a project I can show employers?

Yes — a working RAG or agent project is part of the curriculum.

🤖 Generative AI

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