Course
digicode: AWSD07
Building Agentic AI with Amazon Bedrock AgentCore – Intensive Training
Explore the core principles and strategies for designing Agentic AI systems using AWS services.
Duration
1 day
Price
900.–
Course documents
Digital original AWS courseware
Course facts
- Agentic AI Fundamentals: Defining agent characteristics, differentiating from traditional AI, and identifying core agent components and their interactions
- Bedrock AgentCore Services & Runtime: Describing AgentCore support, deploying agents using supported frameworks, and configuring serverless execution with session isolation
- Enterprise Security and Identity: Configuring AgentCore Identity, implementing AgentCore Policy for secure tool calls, and managing secure token and permission delegation for data governance
- Tool Integration and Extensibility: Implementing various tool integration patterns, designing Model Context Protocol (MCP) servers for extensible capabilities, and configuring AgentCore Gateway for secure tool access
- Agentic Memory and Optimization: Implementing different agentic memory patterns, configuring AgentCore Memory operations for context-aware development, and optimizing memory performance for production
- Monitoring, Evaluation, and Production: Configuring AgentCore Observability for monitoring (including Amazon CloudWatch), describing AgentCore Evaluations, and designing deployment and continuous improvement strategies for production readiness
You will learn how Agentic AI differs from traditional conversational systems, and how to use tools like Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.
1 Foundations of Agentic AI Patterns
- Agent building blocks
- Amazon Bedrock AgentCore introduction
2 AgentCore Runtime and Framework Integration
- Supported frameworks and implementation
- AgentCore Runtime overview
- Infrastructure and deployment
3 Security and Identity Management
- Security and identity management
- Securing your agents with AgentCore Identity
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
5 Agentic Memory Implementation
- Agentic memory core concepts
- AgentCore Memory
- Securing AgentCore Memory
- Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore
6 Production Monitoring and Observability
- Monitoring agents with AgentCore Observability
- Verifying agent performance with AgentCore Evaluation
7 Course Wrap-up
- Next steps and additional resources
- Course summary
This course includes presentations, hands-on lab, and group exercises.
- 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
We recommend having previously taken the following course: