Subject area
AI & Data
Practical AI and data skills: Python, analytics, machine learning, generative AI and large language models, AI agents, and the infrastructure and security practices needed to run models responsibly.
- 236
- articles
- 8
- topic hubs
- 1
- learning path
Start here: learning paths
Topic hubs 8
- Python for AI & Automation 64 Python is the working language of data, AI and automation. This hub covers the language, common frameworks and script... Open hub
- Data Analytics & Data Science 57 Turning raw data into decisions: SQL and databases, analysis, visualisation and the data science workflow. Open hub
- Machine Learning 40 Machine learning builds models that learn patterns from data. This hub covers core concepts, career routes and how AI... Open hub
- Deep Learning 5 Deep learning uses multi-layer neural networks for vision, language and other complex tasks. Growing hub
- Generative AI & LLMs 44 Generative AI produces text, code and images from prompts, and large language models are the technology behind assist... Open hub
- AI Agents, MCP & Automation 8 AI agents plan and act through tools rather than only answering questions, and the Model Context Protocol is one stan... Open hub
- MLOps & AI Infrastructure 6 Running models in production needs pipelines, GPUs and a platform to serve them. This hub covers MLOps practice and A... Growing hub
- AI Security & Governance 12 AI systems bring their own risks: prompt injection, jailbreaks, unreliable output and regulation that differs by coun... Open hub
