Building Agentic AI with Amazon Bedrock AgentCore: Design, Secure and Deploy AI Agents on AWS.
- Why get trained: Learn how to build production-ready agentic AI systems using Amazon Bedrock AgentCore, including core agent components, secure execution, memory and monitoring.
- Why it matters: AI agents can reason, plan and act on tasks autonomously; mastering AgentCore helps you deploy secure, scalable intelligent workflows that integrate with tools and data sources.
- Who should attend: Software developers, AI engineers and technical professionals with foundational AI skills who want hands-on experience designing and deploying autonomous AI agents on AWS.
Develop practical agentic AI engineering capability to design, secure and deploy intelligent agent systems on AWS. HRD Corp Claimable.
Overview
In this course, you’ll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS.
You will use Amazon Bedrock AgentCore services for tool orchestration, identity management, and production monitoring to implement secure, scalable enterprise AI systems ready for deployment.
Skills Covered
In this course, you will learn to:
- Define agentic AI characteristics and differentiate them from traditional AI systems.
- Identify the core agent components and explain how they interact within an agentic architecture.
- Describe how AgentCore services in Amazon Bedrock support agentic AI capabilities.
- Deploy agents using supported frameworks with AgentCore Runtime.
- Describe the core features and capabilities of AgentCore Runtime.
- Configure serverless execution with session isolation for secure and scalable workloads.
- Configure AgentCore Identity to meet enterprise security requirements.
- Create and apply policies using AgentCore Policy to secure agent tool calls.
- Implement secure token management and permission delegation mechanisms.
- Ensure compliance with data governance standards and audit requirements.
- Implement different tool integration patterns, including built-in tools and protocol-based tools.
- Design and deploy Model Context Protocol (MCP) servers and clients to enable extensible agent capabilities.
- Describe common authentication patterns used for secure agent tool access.
- Configure AgentCore Gateway components to provide secure and authorized access to tools.
- Implement agentic memory patterns tailored to different use cases.
- Configure AgentCore Memory operations to support context-aware agent development.
- Optimize memory performance to support production-scale workloads.
- Configure AgentCore Observability to enable effective production monitoring.
- Implement logging, monitoring, and specialized tracing using Amazon CloudWatch.
- Describe the core features and evaluation capabilities of AgentCore Evaluations.
- Integrate agentic systems with production APIs and enterprise services.
- Design deployment strategies suitable for production environments.
- Assess production readiness and establish continuous improvement processes for agentic systems.
Prerequisites
We recommend that attendees of this course have:
Target Audience
This course is intended for:
- Software developers seeking intermediate knowledge for building agentic systems
- Technical professionals exploring AI capabilities and interested in building agentic AI systems
- Development teams building agentic AI solutions.
Module 1: Foundations of Agentic AI Pattern
- Agent building blocks
- Amazon Bedrock AgentCore introduction
Module 2: AgentCore Runtime and Framework Integration
- Supported frameworks and implementation
- AgentCore Runtime overview
- Infrastructure and deployment
Module 3: Security and Identity Management
- Security and identity management
- Securing your agents with AgentCore Identity
Module 4: Tool Integration and AgentCore Gateway
- Amazon Bedrock AgentCore Policy
- Built-in tools and custom integration
- Model Context Protocol (MCP)
- AgentCore Gateway
- Implementing AgentCore Gateway
- Amazon Bedrock AgentCore Policy
Module 5: Agentic Memory Implementation
- Agentic memory core concepts
- AgentCore Memory
- Securing AgentCore Memory
Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore
Module 6: Production Monitoring and Observability
- Monitoring agents with AgentCore Observability
- Verifying agent performance with AgentCore Evaluation
Module 7: Course Wrap-up
- Next steps and additional resources
- Course summary
Dates & Locations
July 13, 2026 - July 13, 2026
July 13, 2026 - July 13, 2026
September 7, 2026 - September 7, 2026
September 7, 2026 - September 7, 2026
October 5, 2026 - October 5, 2026
October 5, 2026 - October 5, 2026
November 16, 2026 - November 16, 2026
November 16, 2026 - November 16, 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
