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CLOUD AI LEARNING

AWS AI learning paths.

Current courses and certifications, who they suit, and a practical way to connect the learning to AI security and governance.

Cyrus Security · October 27, 2026 · Learning resource

Choose the route for the work.

Start with AI Practitioner if you need the foundations. Choose a technical route according to the work you want to do: ML engineering and generative-AI application development have overlapping but different emphases.

The credential images below are official provider or issuer artwork displayed for educational identification. They do not indicate that Cyrus Security holds these credentials. Microsoft’s images represent certification levels rather than bespoke artwork for each exam.

The system view A conceptual view to help connect the parts. It is an illustration, not a product architecture. Select the image to enlarge.
AWS Certified Machine Learning Engineer – Associate — official credential badgeAssociate

MLA-C02 (updated beta)

AWS Certified Machine Learning Engineer – Associate

Engineers implementing and operating ML workloads, with at least one year of relevant AWS ML engineering experience recommended.

Experience and preparation: Hands-on experience with SageMaker AI, Bedrock, and ML engineering services is recommended; this is a technical route.

Status checked October 27, 2026: Updated English beta available; English MLA-C01 ended September 28, 2026. MLA-C01 remains in Japanese, Korean, and Simplified Chinese pending updated-exam general availability.

Official certification details Official preparation path Artwork source
AWS Certified Generative AI Developer – Professional — official credential badgeProfessional

AIP-C01

AWS Certified Generative AI Developer – Professional

Developers building production generative-AI applications, retrieval workflows, and agents on AWS.

Experience and preparation: AWS recommends two or more years of production application experience and one year implementing generative AI. No specific certification is required first.

Status checked October 27, 2026: Current standard exam; beta ended March 31, 2026

Official certification details Official preparation path Artwork source

Bring security into the lab.

Build a small retrieval application. Use a narrowly scoped workload identity, synthetic documents, and explicit limits on tools. Review the data path and preserve an evaluation record.

  1. Draw the data, identity, and action paths.
  2. Choose a realistic failure and test it safely.
  3. Keep the configuration and evidence with your project.
  4. Explain one limitation and one improvement you would make.
The whiteboard A visual recap of the questions, decisions, and evidence on this page. Select the image to enlarge.

Official courses and preparation paths

AWS Skill Builder provides structured exam-preparation paths. Use the foundation route to learn the vocabulary, then choose the technical route that matches your work. Review the course list inside each path rather than treating the badge sequence as a mandatory ladder.

Before you book

Recheck the official exam page for availability, language, audience, objectives, and retirement or beta notices. Prices and scheduling vary; this guide does not quote a universal fee. An exam plan is stronger when you can explain and demonstrate the related work.

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