Build AI Agents with AWS

3h 9m 7s
English
Paid

Learn to design, create, and deploy multiple AI agents using AWS by building your own intelligent travel assistant, ready for production. Gain practical experience and enhance your AI skills!

Read more about the course

What you will learn:

  • How to create AI agents that work together to accomplish tasks using AWS Bedrock language models
  • Design a system where multiple agents collaborate under the management of one supervisor
  • Use AWS Lambda for efficient operation of agents without needing to manage servers
  • Store and structure important travel data in Amazon S3 to ensure agents have constant access to it
  • Make AI agents accessible via the internet by setting up secure and scalable APIs using AWS API Gateway
  • Combine everything into one project, creating a full-fledged AI travel agent capable of providing real-time recommendations

Why learn to create AI agents with AWS?

AI is not just about individual models but their collaborative work. This course will teach you how to build multi-agent AI systems using AWS Bedrock, where specialized agents dynamically handle tasks. You will design a travel planner that can recommend restaurants, search for hotels, and respond to user requests in real time.

We will explore AWS Bedrock language models, the organization of agent work, and the deployment of solutions using Lambda, API Gateway, and S3. Practical assignments will give you real skills and confidence in creating AI applications.

By the end of the course, you will have a production-ready AI system and skills for scaling intelligent automation using AWS cloud services.

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# Title Duration
1 What We Are Building - Part 1 05:34
2 What We Are Building - Part 2 04:57
3 Sign In to AWS 04:33
4 Creating an IAM User 05:34
5 Signing In to New IAM User 03:16
6 What To Do If Your AWS Gets Hacked 01:32
7 Architecture Diagram of Our Multi Agentic Workflow 06:42
8 LLM Model Access, API Rate Limits, Quotas, and AWS Regions 07:48
9 Introduction to AWS Bedrock Agents 01:05
10 Creating the Restaurant Agent 17:34
11 Creating our AWS S3 Bucket To Store Our Data 04:05
12 Uploading Restaurant Data to AWS S3 00:49
13 Creating an Action Group For Our Restaurant Agent 13:02
14 Finishing Our Lambda Function for our Restaurant Agent 12:27
15 Testing Our Restaurant Agent 14:39
16 Setting Up the Accommodation Agent 08:46
17 Uploading Our Hotel and Airbnb Data to AWS S3 01:15
18 Creating The Lambda Function Action Group For The Accommodation Agent 17:41
19 Finishing Our Accommodation Agent 09:50
20 Testing the Accommodation Agent 08:21
21 Creating and Testing The Supervisor Agent 09:01
22 Explaining Agent Collaborators 04:42
23 Multi Agent UI Enhancement, Timing Agents 02:52
24 Serverless Invocation of the Supervisor Agent using AWS Lambda 11:52
25 Setting up AWS API Gateway to Deploy Our Worfklow Through the Internet 03:25
26 Testing Our Endpoint Through The Internet with Postman 05:15
27 Cleaning Up Resources 02:30

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