Amazon Bedrock AgentCore : Build AI Agents on AWS [HANDS-ON]
Published 11/2025
Duration: 4h 12m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.17 GB
Genre: eLearning | Language: English
Published 11/2025
Duration: 4h 12m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.17 GB
Genre: eLearning | Language: English
Master Amazon Bedrock AgentCore : Learn to Build & Deploy Serverless Agentic AI apps on AWS in 2 Weeks
What you'll learn
- Learn the basic concepts related to Amazon Bedrock AgentCore Building Blocks (Primitives)- Agentcore Runtime, Observability, Memory, Identity and Gateway
- Build an Agentic AI App from scratch - Vacation Planner app
- Bedrock AgentCore Runtime – Deploy Agentic AI App with AgentCore Runtime + Lambda + API Gateway [Hands-On]
- Bedrock AgentCore Observability [Hands-On] – Monitor with OpenTelemetry & CloudWatch
- Amazon Bedrock AgentCore Memory [Hands-On] – Add context and session memory
- Amazon Bedrock AgentCore Identity & Gateway – Secure communication and authorization
- Amazon Bedrock AgentCore Pricing – Understand cost and optimize deployments
- Refresher: Agentic AI, CrewAI, and MCP
Requirements
- Basic Knowledge of Python and AWS Cloud (API Gateway, Lambda and CloudWatch)
Description
Welcome to“Amazon Bedrock AgentCore: Build AI Agents on AWS [HANDS-ON]”— the most practical, hands-on course to masterAgentic AI developmentand deployment on AWS in just2 weeks.
This course is designed for developers, data scientists, and AI enthusiasts who want to learn how tobuild, deploy, and monitor fully functional Serverless AI Agents (any open-source framework)using Amazon Bedrock AgentCore. You’ll work throughreal-world, hands-on projectsthat combine Bedrock primitives, runtime orchestration, memory, observability, and deployment with AWS Lambda and API Gateway.
Through step-by-step labs, you’ll:
Build aPersonal Vacation Planner AI Agentfrom scratch
Deploy your agent usingBedrock AgentCore Runtime,AWS Lambda,API Gateway, and optionallyStreamlitfor interactive apps.
Enablefull observabilitywithOpenTelemetryand CloudWatch to monitor agent behavior and performance.
Implementmemoryfor context-aware, multi-turn conversations.
Learn about AgentCoreIdentity and Gatewayfor production readiness
By the end of this course, you’ll have a deep, practical understanding of how to create, operate, and scaleAgentic AI systems on Amazon Bedrock AgentCore.
Section 1 - Course Overview– Introduction and learning outcomes
Section 2 - Amazon Bedrock AgentCore Building Blocks- Primitives and the Problem it is trying to solve
Section 3-Build Agentic AI App from Scratch [Hands-On]– Personal Vacation Planner [on CrewAI]
Section 4 -Bedrock AgentCore Runtime [Hands-On]– Deploy with AgentCore Runtime + Lambda + API Gateway
Section 5 -Bedrock AgentCore Observability [Hands-On]– Monitor with OpenTelemetry & CloudWatch
Section 6 -Amazon Bedrock AgentCore Memory [Hands-On]– Add context and session memory
Section 7 -Amazon Bedrock AgentCore Identity & Gateway– Secure communication and authorization
Section 8 -Amazon Bedrock AgentCore Pricing– Understand cost and optimize deployments
Section 9 -Refresher: Agentic AI, CrewAI, and MCP
Who this course is for:
- Anyone looking to learn how to Build Agentic AI Apps and deployment to Amazon Bedrock AgentCore
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