AWS Certified AI Practitioner Preparation
Foundational AI, machine learning and generative AI concepts on AWS, including responsible AI and practical use-case selection.
- AI/ML
- Generative AI
- AWS
- Exam prep
Planned: A planned subject in the curriculum roadmap. The outline below is a proposed structure, not a finished course.
Independent preparation content aligned to the published AWS Certified AI Practitioner objectives. Not affiliated with, endorsed by, or an official training partner of Amazon Web Services. Exam registration and certification are handled by Amazon Web Services.
Learning outcomes
By the end, learners will be able to:
- 01
Explain core AI, ML and generative AI concepts
- 02
Identify AWS services used for AI/ML workloads
- 03
Evaluate use cases and limitations of foundation models
- 04
Apply responsible AI, security and governance principles
Proposed module outline
A proposed structure — refined during curriculum development.
Terminology, learning types and the ML lifecycle.
Foundation models, prompting and retrieval-augmented generation.
Managed AI services and when to use them.
Bias, transparency, safety and human oversight.
Data protection, access control and compliance for AI.
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