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⇱ Generative AI Applications with Amazon Bedrock | Coursera


Generative AI Applications with Amazon Bedrock

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Generative AI Applications with Amazon Bedrock

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Gain insight into a topic and learn the fundamentals.
4.5

20 reviews

Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.5

20 reviews

Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Knowledge Base Development

  • Agent Orchestration

  • RAG Implementation

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

Build your Cloud Computing expertise

This course is part of the AWS Generative AI and AI Agents with Amazon Bedrock 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

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

7 videosTotal 49 minutes
  • Introduction to the Course3 minutes
  • Introduction to Amazon Bedrock Knowledge Bases5 minutes
  • Demonstration of Amazon Bedrock Knowledge Bases8 minutes
  • Introduction to Amazon Bedrock Prompt Management7 minutes
  • Converse API and Tool Use Part 111 minutes
  • Converse API and Tool Use Part 27 minutes
  • Introduction to Amazon Bedrock Flows8 minutes
7 readingsTotal 195 minutes
  • Course Roadmap5 minutes
  • Amazon Bedrock Knowledge Bases15 minutes
  • Prompt Management15 minutes
  • Exercise: Prompt Management with Amazon Bedrock60 minutes
  • Exercise: Working with the Amazon Bedrock API60 minutes
  • Converse APIs25 minutes
  • Amazon Bedrock Flows15 minutes
1 assignmentTotal 25 minutes
  • Module 1 Quiz25 minutes

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

5 videosTotal 40 minutes
  • Amazon Bedrock Agents6 minutes
  • Demonstration of Amazon Bedrock Agents7 minutes
  • Amazon Q Developer Security Scanning6 minutes
  • Demo Amazon Q Developer Transform Agent3 minutes
  • Tech Talk: Using Agents, Knowledge Bases, and Converse API18 minutes
4 readingsTotal 106 minutes
  • Amazon Bedrock Agents25 minutes
  • Exercise: Creating an HR Assistant Agent using Amazon Bedrock Agents 60 minutes
  • Glossary Course 220 minutes
  • Post-Course Survey1 minute
2 assignmentsTotal 85 minutes
  • Module 2 Quiz25 minutes
  • Final Assessment60 minutes
1 pluginTotal 15 minutes
  • Post-Course Survey15 minutes

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Instructors

Instructor ratings
5.0 (6 ratings)
Amazon Web Services
21 Courses139,316 learners

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