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Build AI Agents with AWS

3h 9m 7s
English
Paid

Unlock the power of artificial intelligence by designing, creating, and deploying AI agents using AWS. Build your own intelligent travel assistant, ready for production, while gaining practical experience to enhance your AI skills!

Course Highlights

What You Will Learn

  • How to create AI agents that collaborate to accomplish tasks using AWS Bedrock language models.
  • Design a system where multiple agents work together under the management of a supervisor.
  • Utilize AWS Lambda for efficient operation, eliminating the need for server management.
  • Structure and store critical travel data in Amazon S3 to ensure agents have constant access.
  • Set up secure and scalable APIs using AWS API Gateway to make AI agents accessible via the internet.
  • Integrate all components to build a full-fledged AI travel agent that provides real-time recommendations.

Benefits of Learning AI Agent Creation with AWS

AI isn't just about individual models—it's about their collaborative work. This course teaches you to build multi-agent AI systems using AWS Bedrock, enabling specialized agents to handle dynamic tasks. You will design and develop a travel planner capable of recommending restaurants, finding hotels, and addressing user queries in real time.

Through this course, you'll explore AWS Bedrock language models, organize agent workflows, and deploy comprehensive solutions using Lambda, API Gateway, and S3. Engage in practical assignments to gain real-world skills and confidence in crafting sophisticated AI applications.

Upon completing the course, you'll possess a production-ready AI system and the expertise to scale intelligent automation leveraging AWS cloud services.

About the Author: zerotomastery.io

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#1: What We Are Building - Part 1
All Course Lessons (27)
#Lesson TitleDurationAccess
1
What We Are Building - Part 1 Demo
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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