Building Advanced Agentic Systems on AWS
Field | Description / Template |
|---|---|
Purpose | To master the architectural patterns and operational requirements needed to scale autonomous AI from single-agent prototypes to production-ready, multi-agent ecosystems on AWS. |
Audience | Experienced developers and AI engineers who need to solve complex, multi-step business problems using collaborative agent architectures. |
Role | AI Architects, Senior Software Engineers, ML Operations (MLOps) Engineers, and Enterprise Architects. |
Domain | Advanced Agentic AI / System Orchestration / AI Security & Observability. |
Skill Level | Advanced |
Style | A deep-dive architectural and implementation course focusing on multi-agent communication, context optimization, and enterprise-grade security configurations. |
Duration | 1 Day |
Related Technologies | Amazon Bedrock AgentCore, Agent-as-a-Tool patterns, VPC Integration, Distributed Tracing, Context Compression. |
Course Description
Building Advanced Agentic Systems on AWS focuses on the transition from simple agentic loops to sophisticated, production-ready multi-agent systems. Using Amazon Bedrock AgentCore, you will learn to implement advanced patterns where agents act as tools for one another, share memory across distributed systems, and operate within strict enterprise security boundaries. The course addresses the critical "Day 2" challenges of agentic AI: managing high token costs through context optimization, ensuring low-latency communication between agents, and maintaining full observability via distributed tracing and evaluation frameworks.
Who is this course for
This course is designed for:
Software Developers looking to move beyond proof-of-concept into scalable, multi-agent implementations.
Technical Professionals responsible for the security and compliance of AI systems within VPC environments.
Development Teams building complex solutions that require collaborative agents to solve multi-domain problems.
Course Objectives
Multi-Agent Orchestration: Analyze scenarios requiring multi-agent architectures and implement primary communication patterns.
Efficiency & Optimization: Design context compression mechanisms and implement memory-sharing strategies to reduce costs and improve performance.
Advanced Security: Configure policy-based access control via the AgentCore Policy Engine and implement secure VPC integrations.
Enterprise Observability: Establish distributed tracing, audit trails, and comprehensive evaluation frameworks across the entire multi-agent stack.
Production Readiness: Integrate agentic systems with production APIs and establish continuous improvement processes for real-world deployment.
Prerequisites
Required: Completion of Agentic AI Foundations and Building Agentic AI with Amazon Bedrock AgentCore.
Experience: Strong proficiency in AWS infrastructure and hands-on experience building basic autonomous agents.
Course outline
Section 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
Section 2: Context Engineering and Performance Optimization
Context as finite resource
Context optimization techniques
Tool design for context efficiency
Section 3: Security and Compliance Implementation
Production Identity and Access Management
VPC integration and network security
Section 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
Section 5: Well-Architected Agentic AI Systems
Applying the Well-Architected framework
Well-Architected deployment
Production readiness
Section 6: Course Wrap-up
Next steps and additional resources
Course summary