Getting Started with AWS Generative AI for Developers

AWS introduces generative AI through foundation models, prompts and inference before developing Amazon Bedrock examples. Labs and demonstrations connect API operations with invoking a model and interpreting its response. It is a developer-oriented foundation for understanding AWS generative services, listed as focused practical study rather than a complete AI Practitioner examination program.

What you will learn

• Explain foundation-model, prompt and inference concepts.
• Connect Bedrock API operations with an application request.
• Inspect a model response and its limitations.

Who this suits

The course addresses developers beginning AWS generative-AI work. Review programming, account and lab requirements before planning to reproduce the demonstrations independently.

Before you enroll

API access, model availability and charges can differ by account and region. Compare service documentation and the current certification outline; course completion does not award AWS professional certification.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for included assessments, certificate terms, trials and any financial-aid options. Access conditions can change; review the current offer before paying.

Put it into practice

Design a small model request with a clear intended result. Test a changed prompt and an ambiguous input, record cost and response differences and explain what evidence would be needed before using the result in an application.

Source and review

This overview is based on the provider's published information, checked on 14 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

How YellowCourse describes and checks learning resources.