All courses
114 published courses. Narrow by subject, role, level or duration, or search by the outcome you are after.
Filter2
Filter courses
DonePrice and plan1
Duration1
Subject
For your role
Skill area
Level
Several filters in one group widen the results; filters in different groups narrow them.
Sort, Most popular
Matching courses
intermediatePremiumWatch the first lesson freeTechnical AI
Build and Run GPU Infrastructure for AIFor ML engineers, MLOps and platform engineers, infrastructure architects and DevOps people who know Linux, Python and basic containers.
intermediatePremiumWatch the first lesson freeTechnical AI
Microsoft Foundry: Enterprise AI EngineeringFor developers, cloud engineers and architects who know Azure basics.
intermediatePremiumWatch the first lesson freeTechnical AI
Microsoft Copilot Studio: The Complete CourseThe whole Microsoft stack that agents run on, then Copilot Studio in depth.
Flagship (10 h+)10.1h105 lessonsLaunch price $149 USD, was $199 USD. Offer ends 31 December.Save $50 USD
advancedPremiumWatch the first lesson freeClaude AI
Claude Certified Architect – Foundations: The Complete Exam PreparationThe complete preparation for Anthropic’s Claude Certified Architect, Foundations exam (CCAR-F).
Flagship (10 h+)10.5h101 lessonsLaunch price $149 USD, was $199 USD. Offer ends 31 December.Save $50 USD
intermediatePremiumWatch the first lesson freeTechnical AI
Ask AI About Your Own Documents (RAG)For developers and data analysts who already call language model APIs.
intermediatePremiumWatch the first lesson freeAI Governance
AI Governance That Doesn't Slow You DownBuild proportionate AI governance for delivery teams: risk lanes, a lightweight path with a register, a high risk gate, decision rights, a charter and a two sided scorecard, then a dated regulation map, data governance, monitoring, a maturity model and an ISO/IEC 42001 management system.
intermediatePremiumWatch the first lesson free
foundationalPremiumWatch the first lesson freeAI Literacy
Making AI Apps Safe and ReliableFor Python developers and ML engineers taking an LLM app to production.