Topics
Every course and guide, grouped by subject.
AI foundations
The core ideas behind machine learning, explained without the hype.
9 courses · 20 guides
Data for AI
Finding, reading, cleaning and responsibly reusing the data models learn from.
5 courses · 30 guides
Machine learning
Hands-on model building with Python and scikit-learn.
6 courses · 55 guides
Generative AI
Large language models, embeddings and building applications with them.
9 courses · 50 guides
Responsible AI
Fairness, privacy and documentation for AI systems people can trust.
5 courses · 25 guides
Applied AI
Putting pretrained models to work on images, speech and time series.
5 courses · 35 guides
Data science & analytics
Analysis, statistics, SQL and data engineering, from the leading course providers.
10 courses · 45 guides
Data engineering
Pipelines, storage, modelling and governance that make data reliable for analysis and AI.
10 courses · 25 guides
MLOps & deployment
Taking models from notebook to production and keeping them healthy there.
10 courses · 20 guides
RAG
Retrieval-augmented generation: grounding language models in your own documents and data.
9 courses · 35 guides
Prompting
Writing prompts that get reliable, useful results from language models.
8 courses · 35 guides
Agent harnesses
The software around language models that turns them into agents: loops, tools, context, permissions and evaluation.
8 courses · 25 guides
MCP
The Model Context Protocol: connecting AI applications to tools and data through a shared, open standard.
4 courses · 25 guides
A2A
The Agent2Agent protocol and how AI agents from different teams and vendors work together.
3 courses · 20 guides
AGI
Artificial general intelligence: definitions, progress, timelines, risks, benefits and governance.
3 courses · 20 guides
AI security
Protecting AI systems and the organisations that use them: attacks, defences and secure practices.
5 courses · 35 guides
Cyber security
Security testing, assessments and attack surface: how to find weaknesses, judge controls and know what you expose.
10 courses · 23 guides
Comparisons
Side-by-side comparisons of the tools, formats and approaches people actually choose between.
2 courses · 21 guides
Databases
Comparisons of database technologies: relational, document, columnar, key-value, graph and time series.
9 courses · 16 guides
Making money with AI
The business side: pricing, clients, proposals, costs and the routes by which AI skills actually earn.
9 courses · 12 guides