Get introduced to generative AI with this foundational course designed for developers looking to use AWS' generative AI services. This course serves as your gateway to understanding and implementing generative AI solutions using Amazon Bedrock.
Getting Started with AWS Generative AI for Developers
Getting Started with AWS Generative AI for Developers
本课程是 AWS Generative AI for Developers 专业证书 的一部分
位教师：Morgan Willis
2,658 人已注册
包含在 
中
您将学到什么
Amazon Bedrock
Foundation Model Selection
Responsible AI Implementation
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要了解的详细信息
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最近已更新！
June 2025
作业
3 项作业
授课语言：英语（English）
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本课程是 AWS Generative AI for Developers 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
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该课程共有2个模块
In this module, you will gain foundational knowledge of generative AI, including the differences between AI, machine learning, deep learning, and the role of large language and foundation models. You will explore key concepts such as prompts, inference, and responses, and see how these are practically applied using Amazon Bedrock. Through demos and hands-on labs, you will invoke foundation models to generate outputs like text, images, and code. This module also introduces Amazon Q Developer and how generative AI can enhance the software development lifecycle.
涵盖的内容
6个视频5篇阅读材料1个作业
This module focuses on integrating generative AI into applications using Amazon Bedrock’s APIs and runtime features. You will learn to invoke foundation models using synchronous, asynchronous, and batch methods, understanding important configurations like temperature and throughput options. The module also covers choosing the right foundation model, applying prompt engineering techniques, and implementing responsible AI practices such as guardrails. You will also explore real-world developer tasks enhanced by Amazon Q Developer, such as infrastructure generation, automated documentation, and feature development.
涵盖的内容
10个视频7篇阅读材料2个作业1个插件
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