Generative AI, Bedrock, SageMaker, Prompt Engineering, ML pipelines, and responsible AI governance
Sub Category
- IT Certifications
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Objectives
- Understand core generative AI and LLM concepts on AWS.
- Navigate Amazon Bedrock services and the model catalog securely.
- Decide when to use Bedrock versus SageMaker for AI workloads.
- Design RAG architectures with embeddings and vector-powered search.
- Build prompt patterns that produce stable, task-focused model outputs.
- Plan ML and AI pipelines, orchestration and monitoring on AWS.
- Apply responsible AI, security and governance principles to solutions.
- Interpret scenario questions to make better AWS AI design decisions.
Pre Requisites
- Basic understanding of cloud concepts and AWS at a high level.
- Interest in generative AI, machine learning and applied AI solutions.
- Willingness to read explanations and revisit weaker knowledge areas.
- Comfort with conceptual diagrams and architecture-style questions.
- Access to AWS documentation or a lab environment is helpful but optional.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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