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.

Why Choose KORNERSTONE

  • Accredited, practitioner-led, expert certificate trainers to provide high quality training
  • Official training material included
  • Practical, scenario-based learning – focus on application, not just theory
  • Excellent Passing Rate

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.

Course Curriculum

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

Let's make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our training consultant today.

Dates & Locations

x Clear all selections

September 7, 2026

Location: Online
Format: Live Virtual
Availability: GTR
$ 3000

October 5, 2026

Location: Online
Format: Live Virtual
Availability: TBC
$ 3000

November 16, 2026

Location: Online
Format: Live Virtual
Availability: GTR
$ 3000

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.

Contact Us

Get in touch with our team via the form or WhatsApp »

Your preferences: