Getting Started with AWS Generative AI for Developers


Getting Started with AWS Generative AI for Developers
Published 11/2025
Duration: 2h 39m | .MP4 1280×720 30fps(r) | AAC, 44100Hz, 2ch | 1.64 GB

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.

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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