python

Andrew Ng and Isa Fulford's free hands-on course teaching developers how to use the OpenAI API effectively — covering prompting techniques, iterative refinement, summarisation, classification, and chaining.

IBM's 10-course professional certificate covering the complete data science workflow — Python, SQL, data visualisation, machine learning, and deploying AI models — with hands-on labs and projects.

The most popular practical Python automation book — teaching how to automate repetitive tasks including file handling, web scraping, spreadsheets, email, and PDF processing.

Comprehensive freeCodeCamp course covering data analysis with Python using Pandas, NumPy, Matplotlib, and Seaborn — the essential toolkit for AI data pipelines.

A concise, hands-on introduction to LangChain — the most popular framework for building LLM-powered applications and AI agents in Python.

The definitive practical guide to machine learning in Python. Géron walks from scikit-learn fundamentals through deep neural networks and reinforcement learning using real datasets and working code — the book practitioners actually keep on their desks.

Build data apps in Python with minimal code.

Unified framework for scaling AI and Python workloads.

High-level neural networks API for fast experimentation.

Build AI assistants with memory, knowledge, and tools.

AI-powered data science notebooks for teams with collaboration.

Collaborative analytics platform with SQL, Python, and visualization.

Collaborative data workspace with AI-powered analysis and notebooks.

Simple and efficient tools for predictive data analysis in Python.

Meta's flexible deep learning framework for research and production.

Google's open-source platform for machine learning model development.

Framework for orchestrating role-playing autonomous AI agents.

Practical deep learning for coders - learn to build real AI applications.