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A Practical Guide to Learning AWS for AI, Step by Step

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A roadmap titled "How to Master AWS for AI?" by Umang Chaudhary maps a learning path centred on Amazon Bedrock, with branches covering foundations, data, agents, and governance. The author, who has built on several of these services, tests the map against real experience to identify what it leaves out. The guide follows five steps: foundations, models and prompts, grounding and retrieval, agents, and evaluation and governance. The author proposes adding a cost-control step at the start, arguing that usage-based AI billing makes budgets and spending limits essential from day one. Each step is said to cover what is currently true, runnable code, and where the author would adjust the roadmap, with all samples reportedly executed without requiring an AWS account.

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