AI Agents & Automation Masterclass
Build agents that do real work — n8n, LangChain, tool calling and production guardrails.
What you'll learn
- Design agent architectures that do not fall over in production
- Master tool calling, function schemas and structured output
- Build RAG pipelines over your own documents with proper chunking
- Automate real workflows in n8n and connect 20+ business tools
- Control token cost and latency with routing and caching
- Add guardrails, retries and human-in-the-loop handoff
- Evaluate agents systematically instead of vibes-testing them
- Package and price automation as a service for clients
What's included
Course content 7 sections · 26 lessons · 10h 4m total
Requirements
- Comfortable writing basic Python
- An OpenAI or Gemini API key (a few hundred rupees of credit is plenty)
- Basic understanding of what an API is
- No prior LLM experience required
Description
The course version of what HackWithPro builds for clients every week.
You will build autonomous AI agents that qualify leads, answer support tickets from your own knowledge base, process documents, and chain across the tools a business already uses. We cover the unglamorous parts that decide whether an agent survives contact with real users: retries, cost control, evaluation, human handoff and guardrails.
By the end you will have four working automations you can sell or run in your own business.
Your instructor
Pratik Naiya
Pratik Naiya builds production AI systems, automations and data products at HackWithPro. He has shipped AI agents, RAG helpdesks and document-intelligence pipelines for real businesses, and teaches the exact workflow he uses on client projects.
Frequently asked questions
Still deciding?
Tell us what you are trying to build and we will say honestly whether this course is the right fit — or point you at something better.