Make money doing the work you believe in
deeplearning.ai has over 50 free short courses. Most are under 2 hours.
Here are the 8 I would recommend specifically for data analysts — in the order I would take them.
𝗙𝗢𝗥 𝗕𝗘𝗚𝗜𝗡𝗡𝗘𝗥𝗦
ChatGPT Prompt Engineering for Developers — the starting point. System prompts, few-shot examples, chain-of-thought reasoning, and structured output. Taught by Andrew Ng and OpenAI. Everything else builds on this.
AI Python for Beginners — Python basics taught through an AI lens. You write code with AI assistance from day one. If you are learning Python and AI at the same time, start here.
Generative AI for Everyone — non-technical introduction to GenAI. What it can do, what it cannot, and how to apply it in your daily work. 4.8 stars, 4,500+ ratings.
𝗙𝗢𝗥 𝗛𝗔𝗡𝗗𝗦-𝗢𝗡 𝗟𝗘𝗔𝗥𝗡𝗘𝗥𝗦
Building Systems with the ChatGPT API — goes beyond single prompts into multi-step systems: classification, routing, processing, and evaluation. This is how AI applications actually work in production.
Understanding and Applying Text Embeddings — what embeddings are, how they work, and how to use them for clustering, classification, and semantic search. Directly relevant if you work with text data.
LangChain Chat with Your Data — build a system that lets you query your own documents using natural language. Useful if you work with reports, PDFs, or large unstructured datasets.
𝗜𝗡𝗧𝗘𝗥𝗠𝗘𝗗𝗜𝗔𝗧𝗘 𝗧𝗢 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗
Pair Programming with a Large Language Model — how to use AI to write, debug, and improve code faster. Directly practical for anyone writing SQL and Python daily.
Building RAG Agents with LLMs — RAG end to end: document chunking, embeddings, retrieval, and generation. The most in-demand AI pattern in the industry right now.
All free. All under 2 hours. No excuses.