AI Engineering Bootcamp: Apps, RAG, Agents & MCP

About this course

Move beyond basic chatbot tutorials and learn how to build complete, practical, and production-ready AI applications in just 14 days.

AI Engineering Bootcamp: Apps, RAG, Agents & MCP is a hands-on, project-based course designed to take you from the foundations of Generative AI to advanced AI agents, Retrieval-Augmented Generation, Model Context Protocol, multi-agent systems, and production AI engineering.

You will begin by understanding how Large Language Models, prompts, tokens, responses, and AI application architectures work. You will build your first terminal and Streamlit AI chatbot, create reusable LLM service layers, and learn how to connect Python applications to cloud-based or local AI models such as OpenAI and Ollama.

The course then introduces practical prompt engineering techniques. You will learn how to structure prompts using roles, tasks, context, rules, examples, and output formats. Through a hands-on prompt playground, you will experiment with reusable prompt templates and understand how better prompts lead to more reliable AI applications.

Next, you will build real-world projects such as an AI Resume Analyzer, a PDF Chat Assistant, and an Autonomous Research Agent. You will learn how to process documents, extract text, create embeddings, split content into chunks, store vectors, and perform semantic search using tools such as ChromaDB.You will explore both beginner and advanced RAG systems. Topics include vector databases, hybrid retrieval, reranking, metadata filtering, query transformation, Knowledge Graph RAG, and Agentic RAG. You will use these concepts to build an enterprise-ready AI Knowledge Assistant

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