📄️ Table of contents
Free discovery course on cloud AI in 6 lessons. What you actually rent, how SageMaker, Azure ML and Vertex AI compare, how to control GPU cost, and how to avoid lock-in.
📄️ 1. What you are renting
Lesson 1 of the free cloud AI course: raw compute, managed APIs, ML platforms and hosted models — what each is for, and how to pick the right category before comparing products.
📄️ 2. The three platforms
Lesson 2 of the free cloud AI course: what the three machine learning platforms have in common, where they genuinely differ, and why the choice usually comes down to where your data already lives.
📄️ 3. Controlling cost
Lesson 3 of the free cloud AI course: where cloud AI bills actually come from, why idle time costs more than training, how spot capacity works, and the levers that reduce inference cost.
📄️ 4. Security and residency
Lesson 4 of the free cloud AI course: which questions to ask a provider, what data residency actually requires, the AI-specific security surface, and what documentation regulation expects.
📄️ 5. Lock-in and portability
Lesson 5 of the free cloud AI course: the five kinds of lock-in, which are expensive and which are not, and the portability practices that cost almost nothing.
📄️ 6. Recap and FAQ
Lesson 6 of the free cloud AI course: a synthesis of the five lessons, a decision guide, twelve frequently asked questions, and a vocabulary you can use precisely.
📄️ 7. Quiz and attestation
Test your understanding of AI in the cloud with a free 5-question quiz, corrected and explained: managed platforms versus APIs, GPU cost control, data residency and what causes vendor lock-in.