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
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Getting Started with AWS Generative AI for Developers
This course is part of AWS Generative AI for Developers Professional Certificate
Instructors: Morgan Willis
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Amazon Bedrock
Foundation Model Selection
Responsible AI Implementation
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
June 2025
Assessments
3 assignments
Taught in English
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This course is part of the AWS Generative AI for Developers Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Amazon Web Services
There are 2 modules in this course
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.
What's included
6 videos5 readings1 assignment
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.
What's included
10 videos7 readings2 assignments1 plugin
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