Building Advanced Agentic Systems on AWS
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.
Building Advanced Agentic Systems on AWS
Please find our upcoming course dates at the end of this page!
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 real-world production environment.
COURSE OBJECTIVES
In this course, you will learn to:
- 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.
INTENDED AUDIENCE
This course is intended for:
- Software developers seeking intermediate knowledge for building advanced agentic AI systems
- Technical professionals exploring AI capabilities and interested in building advanced agentic AI systems.
- Development teams building advanced agentic AI solutions.
Prerequisites
We recommend that attendees of this course have:
ACTIVITIES
This course includes:
- Presentations
- Hands-on lab,
- Group exercises
COURSE DURATION / PRICE
- 1 day
- € 750.00 (excl. tax) per person (DE)
Course outline
- 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
- 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
IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.
Course materials are in English, on request also in German (if available).
The Course language is German, on request also in English.