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[New] Build Production-Ready AI Agent on AWS with AgentCore
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205 students
[New] Build Production-Ready AI Agent on AWS with AgentCore
By Architect@AWS | Build real-world AI Agent from scratch | Under 5 hrs | Fully Hands-on course | Production-grade Agent
Last updated 10/2026
English
English [Auto],
What you'll learn
- Learn the anatomy of an AI agent - LLM, System Prompt, Tools, Reasoning loop, Agent SDKs
- Understand the Amazon Bedrock AgentCore platform and its capabilities for buidling production-ready AI agents.
- Learn AgentCore Runtime, Knowledge Base, Gateway, Memory, Identity, Policy, and Browser, one capability at a time through hands-on labs.
- How end-to-end workflow of AI Agent works and how Agent integrates with real-world Application
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Course content
14 sections • 48 lectures • 4h 42m total length
Requirements
- Basic knowledge and experience working in AWS
- Access to Linux/Mac/Windows workstation
- Familiarity with Python (good to have, not mandetory)
Description
In this hands-on course, you will design, architect and build a production-grade, cloud-native AI Agent on AWS — from scratch. Not a toy project. Not a single-service demo. A full-stack, backed-based application that mirrors what real AI Solutions Architects and Cloud Engineers are building today.
What you will build:
You will build a Production-ready AI Agent which can reason, memorize, access internal documents, access external tools/APIs, access browser while working in isolated, secured, and within the company defined guardrails. Further Agent will be accessed only by the authenticated users.
Every capability of the agent will be built module-by-module and will be deployed using Amazon Bedrock AgentCore using industry-standard practices.
AWS Services you will work with:
Amazon Bedrock AgentCore — Runtime, Memory, Gateway, Identity, Policy, Knowledge Base, Browser
Backend Application — API Gateway, Lambda, DynamoDB, S3
Authentication — Amazon Cognito User Pools
Security & Management — IAM, CloudWatch, Systems Manager
Who is this for?
This course is ideal for developers, cloud engineers, and anyone looking to build and get real-world hands-on experience building AI Agent on AWS using Amazon AgentCore platform. This project will add treamendous value for your job interviews.
What is different about this course?
Most courses teach you services. This course teaches you design and architecture. You will understand not just how to use each service, but why it fits into the overall design and how to connect the dots across Agent anotomy, agent's memory, security, policy guardrails, tools access and most importantly running agents in secure and isolated environment.
By the end of this course, you will have:
- A fully deployed AI Agent running on AWS
- Hands-on experience with Amazon Bedrock AgentCore platform and most of it's capabilities
- The confidence to design and build similar architectures independently
So let's get started and let's build AI Agent together!
NOTE: BEFORE YOU ENROLL PLEASE COMPLETE THE PREREQUISITES (Module 00)
Who this course is for:
- Developers, AI Engineers and Cloud Engineers who know the basics of AI Agent but want to go beyond prototype and build a real-world AI Agent from the ground up.
- Learners looking to strengthen their AI hands-on skills by building AI agent from scratch
- Learners looking to broaden their skill set around AI on AWS to further strengthen their resume
- All who want to bridge the gap between knowledge and practical implementation of Building AI Agents.