Building Advanced Agentic Systems on AWS: Skills to Design, Secure and Deploy Multi-Agent AI Systems.
- Why get trained: Learn how to build scalable, production-ready multi-agent AI systems using Amazon Bedrock AgentCore, including communication patterns, security, context strategies, monitoring and optimization.
- Why it matters: Advanced agentic AI systems operate autonomously to perform complex tasks and support real-world workflows; mastering these capabilities helps organisations deploy reliable, observable and secure AI architectures suited to production environments.
- Who should attend: Software developers, AI engineers and technical professionals with foundational agentic AI and AWS experience who want hands-on skills for building and managing advanced agent systems at scale.
Develop advanced system-level AI skills to design, secure and deploy complex multi-agent AI solutions. HRD Corp Claimable.
Overview
In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering multi-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.
Skills Covered
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.
Prerequisites
We recommend that attendees of this course have:
Target 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.
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
Dates & Locations
July 14, 2026 - July 14, 2026
July 14, 2026 - July 14, 2026
September 8, 2026 - September 8, 2026
September 8, 2026 - September 8, 2026
October 6, 2026 - October 6, 2026
October 6, 2026 - October 6, 2026
November 17, 2026 - November 17, 2026
November 17, 2026 - November 17, 2026
Exam & Certification
There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our top AWS Certifications for 2026 and start building the skills that matter today.
Training & Certification Guide
Frequently Asked Questions
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All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
