• views: 166
• date: 2 December 2025
• posted by: AD-TEAM

Responsible AI Implementation

What you'll learn
- Demonstrate basic model invocation for Amazon Bedrock.
- Identify key components of Amazon Bedrock.
- Define generative AI and foundational models.
- Choose and apply appropriate foundation models.

Requirements
- AWS experience

Description
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.

You'll begin by exploring the fundamentals of generative AI, understanding its place within the broader AI landscape, and learning key concepts such as foundation models, prompts, and inference. Through hands-on labs and demos, you'll gain practical experience invoking foundation models and interpreting their responses.

The course then dives into Amazon Bedrock Runtime APIs, covering operations like InvokeModel and asynchronous invocations. You'll learn to implement streaming responses, manage provisioned throughput, and apply guardrails to ensure responsible AI use.

A significant portion of the course focuses on working effectively with foundation models. You'll explore model selection criteria, learn the art of prompt engineering, and understand how to optimize your interactions with generative AI tools.

By the end of this course, you'll have an understanding of generative AI concepts and hands-on experience with Amazon Bedrock. You'll be ready to start integrating AI capabilities into your applications, setting the stage for more generative AI development in subsequent courses.

Please note: The hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.

Who this course is for:
- Software developers with AWS experience, who are new to generative AI and eager to integrate AI capabilities into their applications.
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