Domain 2: Fundamentals of generative AI
24% of the exam. Tokens, embeddings and vectors, how foundation models work, the model lifecycle, token pricing and context engineering, agentic AI and MCP, and the AWS generative AI stack.
9 lessons · 2 hr 17 min
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What is in it
- 01Tokens, embeddings and vectors15m
- 02How foundation models work15m
- 03Generative AI use cases14m
- 04The foundation model lifecycle15m
- 05Token pricing and context engineering16m
- 06Agentic AI, MCP and orchestration16m
- 07Advantages and limitations15m
- 08Selecting a model and measuring value15m
- 09The AWS generative AI stack16m