Course Information
Schedules
- 27 Jul 2026 (Mon) 9:30 AM - 5:00 PM
Registration period
22 Jun 2026 (Mon) - 26 Jul 2026 (Sun)
Price
HKD 3,000
(Early Bird HK3000
Standard HK6000)
(Early Bird HK3000
Standard HK6000)
Course Level
Study Mode
Duration
1 Day(s)
Language
Cantonese
Location
2/F, Centre Point, 181 Gloucester Road, Wanchai, HK
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. You’ll also discover how to use tools like Amazon Q Developer, Amazon Quick Suite, Kiro, Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.
- • Course level: Fundamental
- • Duration: 1 day
Activities
- This course includes presentations, hands-on lab, and group exercises
What You’ll Learn
Day 1
Module 1: From LLMs to Agents
- • Limitations of Large Language Models (LLMs)
- • Innovations powering agents
- • Evolution from LLMs to agentic AI systems
Module 2: Exploring Agentic AI
- • Understanding agentic AI
- • Types of AI agents
- • Agentic AI applications
Module 3: Understanding Agentic AI Workflows
- • Workflow patterns
- • Amazon Bedrock flows overview
Module 4: AWS Agentic Development and Productivity Tools
- • AWS agentic AI solutions
- • Amazon Quick Suite
- • Amazon Q Developer
- • Hands-on lab: Accelerating software development using Amazon Q Developer
- • Kiro: AI-powered integrated development environment (IDE) with spec-driven development
Module 5: Implementing agentic AI Frameworks with Amazon Bedrock AgentCore
- • Agentic AI frameworks
- • Hands-on lab: Getting started with Strands Agents
- • Amazon Bedrock AgentCore
Module 6: Building Custom Solutions
- • Customizing agentic infrastructure
- • Observability and monitoring
- • Agent interoperability
Module 7: Course Wrap-up
- • Next steps and additional resources
- • Course summary
