Course Information
Schedules
- 14 Jul 2026 (Tue) 9:30 AM - 5:00 PM
Registration period
23 Jun 2026 (Tue) - 13 Jul 2026 (Mon)
Price
HKD 3,000
(Standard HK6000
Early Bird HK3000)
(Standard HK6000
Early Bird HK3000)
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 learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering mulit-agent patterns, context optimization techniques, security configurations, and monitoring frameworks. You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations. The course prepares you to design and deploy advanced agentic systems ready for realworld production environment.
- • Course level: Advanced
- • Duration: 1 day
Course objectives
In this course, you will:
• Analyze scenarios that require multi-agent architectures.
• Describe primary multi-agent communication patterns and their use cases.
• Configure agent-as-tool patterns for production deployments.
• Implement memory sharing using available platform capabilities.
• Implement context management strategies for production workloads.
• Design context compression and optimization mechanisms.
• Optimize resource usage and cost management across multi-agent systems.
• Configure policy-based access control using AgentCore Policy Engine.
• Implement VPC integration for secure agent deployments.
• Implement distributed tracing and monitoring across multi-agent systems.
• Establish comprehensive agent evaluation frameworks.
• Configure integration patterns for enterprise observability systems
• Establish comprehensive audit trails and compliance monitoring.
• Integrate agentic systems with production APIs and services.
• Design deployment strategies for production environments.
• Assess production readiness and establish continuous improvement processes.
• Assess production readiness and establish continuous improvement processes
What You’ll Learn
Module 1: Multi-Agent Architecture and Communications Patterns
- • Single agent limitations and multi-agent benefits
- • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock
- Strands and AgentCore - Task 1: Building a Personal Budget Assistant with Strands Agents
- • Multi-agent communication patterns
- • Memory and state management
- • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock
- Strands and AgentCore - Task 2: Building a Multi-Agent System for Complex Financial Analysis
- • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock
- Strands and AgentCore
Module 2: Context Engineering and Performance Optimization
- • Context as finite resource
- • Context optimization techniques
- • Tool design for context efficiency
Module 3: Security and Compliance Implementation
- • Production Identity and Access Management
- • VPC integration and network security
Module 4: Production Monitoring, Observability, and Evaluation
- • Monitoring architecture
- • AgentCore evaluation
- • Enterprise observability integration
- • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock
- Strands and AgentCore - Task 3: Deploying Production-Ready Agents with Amazon Bedrock
- AgentCore
Module 5: Well-Architected Agentic AI Systems
- • Applying the Well-Architected framework
- • Well-Architected deployment
- • Production readiness
Module 6: Course Wrap-up
- • Next steps and additional resources
- • Course summary
