AI Engineer Zero to Hero Crash Course

Ready to break into Generative AI? This crash course takes you from zero to building production-ready AI applications in just a few hours!

In this hands-on course, you'll master two of the hottest skills in AI today: Retrieval Augmented Generation (RAG) and Agentic AI development. Whether you're a developer looking to add AI skills to your toolkit or someone wanting to build intelligent applications, this course provides a fast track to becoming an AI Engineer.

What You'll Build:

• Complete RAG pipeline from scratch using Python

• Intelligent AI Agents using LangChain

• Production APIs with FastAPI

• Interactive UIs with Streamlit

What You'll Learn:

• Data ingestion and document processing techniques

• Text chunking strategies for optimal retrieval

• Vector embeddings and semantic search

• ChromaDB vector database implementation

• Local LLM integration with Ollama

• Prompt engineering for RAG systems

• Azure cloud deployment strategies

• Building autonomous AI agents that make decisions

Why This Course?
Unlike theory-heavy courses, every lesson includes working code you can run immediately. You'll understand not just how to build AI applications, but why each component works the way it does.

By the end, you'll have a portfolio of AI projects and the confidence to build intelligent applications for any use case. Join thousands of developers who are future-proofing their careers with practical AI engineering skills!

No prior AI experience required – just bring your Python basics and we'll handle the rest!