Course Information
- 13 Jul 2026 (Mon) 9:30 AM - 5:00 PM
(Early Bird HK3000
Standard HK6000)
Course Overview
Course description
In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.
- • Course level: Intermediate
- • Duration: 1 day
Activities
- This course includes presentations, demonstrations, hands-on labs, and group exercises
What You’ll Learn
Day 1
Module 1: Foundations of Agentic AI Patterns
- • Agent building blocks
- • Amazon Bedrock AgentCore introduction
Module 2: AgentCore Runtime and Framework Integration
- • Supported frameworks and implementation
- • AgentCore Runtime overview
- • Infrastructure and deployment
Module 3: Security and Identity Management
- • Security and identity management
- • Securing your agents with AgentCore Identity
Module 4: Tool Integration and AgentCore Gateway
- • Amazon Bedrock AgentCore Policy
- • Built-in tools and custom integration
- • Model Context Protocol (MCP)
- • AgentCore Gateway
- • Implementing AgentCore Gateway
- • Amazon Bedrock AgentCore Policy
Module 5: Agentic Memory Implementation
- • Agentic memory core concepts
- • AgentCore Memory
- • Securing AgentCore Memory
- • Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore
Module 6: Production Monitoring and Observability
- • Monitoring agents with AgentCore Observability
- • Verifying agent performance with AgentCore Evaluation
Module 7: Course Wrap-up
- • Next steps and additional resources
- • Course summary