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There are 2 modules in this course
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.
The course begins with a deep dive of Amazon Bedrock Knowledge Bases, teaching you how to enhance AI responses using Retrieval-Augmented Generation (RAG). You'll learn to create and manage knowledge bases, integrating them into your applications to provide context-aware, domain-specific AI interactions.
Next, you'll learn Amazon Bedrock Prompt Management and Flows, enabling you to design intricate workflows that chain multiple AI operations. This section empowers you to create more sophisticated generative AI behaviors in your applications.The latter part of the course focuses on generative AI-driven agents for task automation. You'll learn to configure and deploy Bedrock Agents, integrating them with various AWS services to create smart, autonomous systems. You'll also explore the Converse API, enabling more natural, context-aware conversations in your AI applications.
Throughout the course, hands-on labs and real-world scenarios will help you apply these concepts. By the course's end, you'll be designing and implementing advanced generative AI applications with Amazon Bedrock.
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.
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
Show info about module content
7 videos•Total 49 minutes
Introduction to the Course•3 minutes
Introduction to Amazon Bedrock Knowledge Bases•5 minutes
Demonstration of Amazon Bedrock Knowledge Bases•8 minutes
Introduction to Amazon Bedrock Prompt Management•7 minutes
Converse API and Tool Use Part 1•11 minutes
Converse API and Tool Use Part 2•7 minutes
Introduction to Amazon Bedrock Flows•8 minutes
7 readings•Total 195 minutes
Course Roadmap•5 minutes
Amazon Bedrock Knowledge Bases•15 minutes
Prompt Management•15 minutes
Exercise: Prompt Management with Amazon Bedrock•60 minutes
Exercise: Working with the Amazon Bedrock API•60 minutes
Converse APIs•25 minutes
Amazon Bedrock Flows•15 minutes
1 assignment•Total 25 minutes
Module 1 Quiz•25 minutes
Module 2: AI-driven Agents for Task Automation
Module 2•4 hours to complete
Module details
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
Show info about module content
5 videos•Total 40 minutes
Amazon Bedrock Agents•6 minutes
Demonstration of Amazon Bedrock Agents•7 minutes
Amazon Q Developer Security Scanning•6 minutes
Demo Amazon Q Developer Transform Agent•3 minutes
Tech Talk: Using Agents, Knowledge Bases, and Converse API•18 minutes
4 readings•Total 106 minutes
Amazon Bedrock Agents•25 minutes
Exercise: Creating an HR Assistant Agent using Amazon Bedrock Agents •60 minutes
Glossary Course 2•20 minutes
Post-Course Survey•1 minute
2 assignments•Total 85 minutes
Module 2 Quiz•25 minutes
Final Assessment•60 minutes
1 plugin•Total 15 minutes
Post-Course Survey•15 minutes
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5.0 (6 ratings)
Russell Sayers
Amazon Web Services
21 Courses•137,721 learners
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