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In this course, you will learn the fundamental principles and strategies for developing Agentic AI systems with AWS services. You will learn how Agentic AI differs from traditional dialog-based systems and how to use tools such as the Strands Agents SDK and Amazon Bedrock AgentCore to develop autonomous, goal-oriented solutions that solve real-world problems.
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Course Contents
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- Fundamentals of agent-based AI patterns
- AgentCore runtime environment and framework integration
- Security and identity management
- Tool integration and AgentCore Gateway
- Implementation of agent-based memory
- Production monitoring and observability
This course includes presentations, a hands-on lab, and group exercises.
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Knowledge Prerequisites
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We recommend that participants in this course have the following prior knowledge:
-
Course Objective
-
- Define the characteristics of agent-based AI and distinguish it from conventional AI systems.
- Identify the core components of the agent and their interactions.
- Describe how Bedrock AgentCore services support agent-based AI.
- Deploy agents using supported frameworks with AgentCore Runtime.
- Describe the core features of AgentCore Runtime.
- Configure serverless execution with session isolation.
- Configure AgentCore Identity for your organization's security requirements.
- Create policies to secure agent tool calls with AgentCore Policy.
- Implement secure token management and permission delegation.
- Ensure compliance with data management and auditing requirements.
- Implement various tool integration patterns, including integrated tools and protocol-based tools.
- Design and implement Model Context Protocol (MCP) servers and clients for extensible agent capabilities.
- Describe common authentication patterns for the use of agent tools.
- Configure AgentCore Gateway components for secure and authorized access to tools.
- Implement agent-based storage patterns for different use cases.
- Configure AgentCore memory operations for context-aware development.
- Optimize memory performance for production workloads.
- Configure AgentCore Observability for production monitoring.
- Implement Amazon CloudWatch integration and specialized tracing.
- Describe the core capabilities of AgentCore Evaluations.
- Integrate agent-based systems with production APIs and services.
- Develop deployment strategies for production environments.
- Evaluate production readiness and establish continuous improvement processes
| Foundations of Agentic AI Patterns |
| Agent building blocks |
| Amazon Bedrock AgentCore introduction |
| AgentCore Runtime and Framework Integration |
| Supported frameworks and implementation |
| AgentCore Runtime overview |
| Infrastructure and deployment |
| Security and Identity Management |
| Security and identity management |
| Securing your agents with AgentCore Identity |
| 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 |
| Agentic Memory Implementation |
| Agentic memory core concepts |
| AgentCore Memory |
| Securing AgentCore Memory |
| Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore (demo only available at launch, labs released shortly after) |
| Production Monitoring and Observability |
| Monitoring agents with AgentCore Observability |
| Verifying agent performance with AgentCore Evaluation |
| Course Wrap-up |
| Next steps and additional resources |
| Course summary |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
In this course, you will learn the fundamental principles and strategies for developing Agentic AI systems with AWS services. You will learn how Agentic AI differs from traditional dialog-based systems and how to use tools such as the Strands Agents SDK and Amazon Bedrock AgentCore to develop autonomous, goal-oriented solutions that solve real-world problems.
-
Course Contents
-
- Fundamentals of agent-based AI patterns
- AgentCore runtime environment and framework integration
- Security and identity management
- Tool integration and AgentCore Gateway
- Implementation of agent-based memory
- Production monitoring and observability
This course includes presentations, a hands-on lab, and group exercises.
-
Knowledge Prerequisites
-
We recommend that participants in this course have the following prior knowledge:
-
Course Objective
-
- Define the characteristics of agent-based AI and distinguish it from conventional AI systems.
- Identify the core components of the agent and their interactions.
- Describe how Bedrock AgentCore services support agent-based AI.
- Deploy agents using supported frameworks with AgentCore Runtime.
- Describe the core features of AgentCore Runtime.
- Configure serverless execution with session isolation.
- Configure AgentCore Identity for your organization's security requirements.
- Create policies to secure agent tool calls with AgentCore Policy.
- Implement secure token management and permission delegation.
- Ensure compliance with data management and auditing requirements.
- Implement various tool integration patterns, including integrated tools and protocol-based tools.
- Design and implement Model Context Protocol (MCP) servers and clients for extensible agent capabilities.
- Describe common authentication patterns for the use of agent tools.
- Configure AgentCore Gateway components for secure and authorized access to tools.
- Implement agent-based storage patterns for different use cases.
- Configure AgentCore memory operations for context-aware development.
- Optimize memory performance for production workloads.
- Configure AgentCore Observability for production monitoring.
- Implement Amazon CloudWatch integration and specialized tracing.
- Describe the core capabilities of AgentCore Evaluations.
- Integrate agent-based systems with production APIs and services.
- Develop deployment strategies for production environments.
- Evaluate production readiness and establish continuous improvement processes
| Foundations of Agentic AI Patterns |
| Agent building blocks |
| Amazon Bedrock AgentCore introduction |
| AgentCore Runtime and Framework Integration |
| Supported frameworks and implementation |
| AgentCore Runtime overview |
| Infrastructure and deployment |
| Security and Identity Management |
| Security and identity management |
| Securing your agents with AgentCore Identity |
| 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 |
| Agentic Memory Implementation |
| Agentic memory core concepts |
| AgentCore Memory |
| Securing AgentCore Memory |
| Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore (demo only available at launch, labs released shortly after) |
| Production Monitoring and Observability |
| Monitoring agents with AgentCore Observability |
| Verifying agent performance with AgentCore Evaluation |
| Course Wrap-up |
| Next steps and additional resources |
| Course summary |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.