e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Step up your generative AI skills with this course focused on building generative AI applications using Amazon Bedrock. Building on the fundamentals, you'll dive deep into advanced features and services that enable more complex solutions.

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Generative AI Applications with Amazon Bedrock
This course is part of AWS Generative AI for Developers Professional Certificate



Instructors: Morgan Willis
Included with
Recommended experience
What you'll learn
Knowledge Base Development
Agent Orchestration
RAG Implementation
Skills you'll gain
Details to know

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June 2025
3 assignments
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There are 2 modules in this course
In this module, you will explore how to improve generative AI responses using Amazon Bedrock Knowledge Bases with retrieval-augmented generation (RAG). You will learn to parse and chunk content, integrate document storage, and use APIs to query structured knowledge. The module also introduces prompt management and prompt flows, enabling you to design dynamic AI workflows. Through labs and demos, you will build applications that ask questions, process responses, and chain prompts in real-world use cases.
What's included
7 videos7 readings1 assignment
This module dives into Amazon Bedrock Agents and how they automate tasks using agent instructions, actions, tools, and session memory. You will learn to create conversational flows, use inline and collaborative agents, and extend capabilities with Lambda functions. The module also covers the Converse API for building interactive applications with tool use and dynamic context management. Hands-on labs guide you through building agent-powered apps, such as booking systems and workflow automation solutions.
What's included
5 videos4 readings2 assignments1 plugin
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