Become an AI Engineer for Free
AI Engineering is the fastest-growing role in tech right now. Unlike ML researchers who train models from scratch, AI Engineers build products using existing models: the OpenAI API, open-source models on Hugging Face, LangChain agents, and RAG pipelines. The tools are accessible, the demand is enormous, and the best learning resources are entirely free.
Your Step-by-Step Path
Step 1: Python Foundations
Python is the language of AI engineering. You need a solid foundation before working with AI APIs and libraries.
CS50's Introduction to Programming with Python
36h · Free
Step 2: How LLMs & AI Actually Work
Understand what large language models are, how they generate text, and why prompting matters before you start building.
Introduction to Generative AI
1h · Free
Step 3: Prompt Engineering
Learn to communicate effectively with AI models. Prompt engineering is the core skill every AI engineer needs.
ChatGPT Prompt Engineering for Developers
1h · Free
Step 4: Build AI Apps with LangChain
LangChain is the leading framework for building LLM-powered applications. Learn chains, agents, memory, and tools.
LangChain for LLM Application Development
3h · Free
Step 5: RAG (Retrieval-Augmented Generation)
Make AI answers accurate and grounded by connecting models to your own data with vector search and retrieval.
Building and Evaluating Advanced RAG Applications
2h · Free
Step 6: Open Source AI with Hugging Face
Go beyond the OpenAI API. Use and fine-tune open-source models from the world's largest AI model hub.
Hugging Face NLP Course
30h · Free
More Courses to Explore
freeCodeCamp's comprehensive introduction to generative AI covering the OpenAI API, Gemini Pro, LangChain, RAG basics, and building real AI-powered apps. Completely free on YouTube.
Harvard's introduction to AI with Python. Covers search, knowledge representation, uncertainty, optimisation, machine learning, neural networks, and NLP.
The official Hugging Face course on NLP with Transformers. Learn to use pre-trained models, fine-tune them on your data, share them with the community, and build NLP pipelines. Entirely free.
fast.ai's legendary course on deep learning for practitioners. Takes a top-down approach — you build real models in lesson 1 and understand the theory gradually. Covers CV, NLP, tabular data, and stable diffusion. Completely free.
Hugging Face AI Agents Course
Hugging Face's free course on building AI agents. Covers the smolagents framework, ReAct architecture, multi-agent systems, and evaluating agent performance. Free with certificate.
Anthropic's official interactive prompt engineering tutorial. Nine chapters covering basic prompt structure, role assignment, separating data and instructions, chain-of-thought, and complex real-world prompts. Hands-on with the Claude API.