Microsoft's free training catalog — guided learning paths and hands-on modules across Azure, .NET, Power Platform, security and AI, each tracking your progress. The training is free; only the certification exams are paid.
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Microsoft's free training catalog — guided learning paths and hands-on modules across Azure, .NET, Power Platform, security and AI, each tracking your progress. The training is free; only the certification exams are paid.
Anthropic's own free course catalog covering Claude, the Claude API, Model Context Protocol and AI fluency, with a certificate of completion for each course.
Every Microsoft credential in one place, each with its free study path, skills-measured outline and practice assessment. Use it to pick a target, then follow the free preparation to it.
The entry point to the Azure certification ladder: cloud concepts, core services, pricing and governance. The full learning path and practice assessment cost nothing.
Machine learning and AI workload concepts taught against real Azure services — computer vision, language, and generative AI — with a free guided path to the exam.
Repositories, branching, pull requests, Actions and collaboration workflows, as a formal credential. The preparation path is free and doubles as a solid Git refresher.
Core data concepts — relational and non-relational stores, analytics workloads — grounded in Azure's data services, with the whole study path free.
A vendor-neutral-enough grounding in identity, zero trust, compliance and security tooling — a rare structured on-ramp into security for people without a security job yet.
The full developer course: messages, streaming, tool use, prompt caching and structured outputs, taught against the real API.
The starting point: using Claude for everyday work, its core features, and how to prompt it well. No coding required, certificate on completion.
Using Claude Code in a real development workflow — driving it from the terminal, giving it context, and reviewing what it produces.
Building MCP servers and clients — the open standard for connecting AI assistants to tools and data sources, from its authors.
How to work with AI systems effectively and responsibly — a vendor-neutral framework for delegation, description and discernment rather than a tool tutorial.