Full catalogue
11 of 61 resources in the catalogue match this selection. Narrow it further below, or clear the filters to see everything.
11 of 11 resources
Reference
First-party documentation for building with Google's Gemini models — API reference, prompting guidance and worked examples. The authoritative reference rather than a taught course.
Intermediate · Documentation · Free
Microsoft
Reference
Reference documentation for building, evaluating and operating generative-AI applications and agents on Microsoft's platform. Aimed at teams putting something into production.
Advanced · Documentation · Free
Microsoft
Courses & training
An open-source, lesson-by-lesson course on building generative-AI applications, with runnable code alongside each concept. Free and self-paced.
Beginner · Tutorial · Free
Microsoft
Certifications
The engineer-level step beyond AI Fundamentals: a paid, examined credential covering building and operating AI solutions on Azure. The training that prepares for it is free; the exam is not.
Intermediate · Certificate · Paid
OpenAI
Reference
First-party reference for building on OpenAI models, covering the API surface, tool calling, retrieval and evaluation. Documentation rather than a course, but the most current source for how the models behave.
Intermediate · Documentation · Free
DeepLearning.AI
Courses & training
Short, tightly-scoped courses on current AI engineering techniques — retrieval, agents, evaluation, tool use — usually built with the team behind the technique. Free to take and quick to finish.
Intermediate · Course · Free
DeepLearning.AI
Courses & training
The full DeepLearning.AI catalogue, from non-technical introductions through to deep-learning specialisations. Contains both free and paid programmes.
Multiple levels · Learning path · Free and paid
DeepLearning.AI
Courses & training
The long-established paid route into deep learning, taught by Andrew Ng — neural networks, convolutional and sequence models, and how to structure a machine-learning project. Enrolment is through Coursera and the certificate requires a paid subscription.
Intermediate · Learning path · Paid
MIT
Courses & training
MIT's intensive introductory deep-learning course, published openly each year with lecture videos and software labs. Fast-moving and mathematically honest.
Advanced · Course · Free
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