Generative AI Bootcamp: LLM Engineering, RAG & AI Agents

About this course

Stop being an AI User. Start being an AI Engineer.

In 2026, the gap between those who "prompt" and those who "build" is widening. Companies aren’t looking for people who can talk to AI; they are hiring LLM Engineers who can architect, fine-tune, and deploy autonomous systems that solve multi-million dollar problems.

Welcome to the AI Engineer Bootcamp—the most comprehensive, project-driven track on Udemy. This isn’t a collection of theory slides. It is a 33.5-hour technical deep dive designed to take you from a Python developer to a specialized AI Architect in 8 weeks.

Why This Course is Different

While other courses stay at the surface level using basic APIs, we go under the hood. You will master QLoRA for efficient fine-tuning, build Agentic RAG pipelines that actually scale, and orchestrate Multi-Agent Systems that work autonomously.

The 8-Week / 8-Project Portfolio

You won't just learn; you will build. By the end of this course, you will have a professional GitHub portfolio featuring:

• Smart Scraper: An AI brochure generator that navigates websites intelligently.
• Multi-Modal Support Agent: A functional airline assistant with UI and tool-calling.
• Meeting Intelligence: Convert audio to action items using Whisper & Llama 3.2.
• The Performance Booster: An AI that optimizes Python code into C++ (60,000x speedup).
• Enterprise Knowledge Worker: A production-grade RAG system for company data.

Capstone (Part A-C): Build a "Price Prediction" engine, fine-tune an Open Source model to beat GPT-4o, and deploy an autonomous Deal-Scanner Agent System.

What You Will

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