Learn AI from the people who build it

A non-technical course for senior leaders on how to drive business value with generative AI. Covers real-world use cases across industries, considerations for safe and responsible adoption, and how to manage the people, process, and technology changes needed to lead AI initiatives successfully. No prior generative AI experience required.

An introduction to the core principles of agentic AI and how autonomous, goal-driven systems differ from traditional conversational AI. Explores workflow, autonomous, and hybrid agent patterns and the AWS services that support them, including Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore, with hands-on labs using Bedrock Agents, Knowledge Bases, and Guardrails.

A practical course on advancing proof-of-concept agents into production-ready solutions using Amazon Bedrock AgentCore. Covers Runtime, Identity, Policy, Gateway, Memory, Observability, and Evaluations, along with tool integration via the Strands Agents SDK and Model Context Protocol (MCP), to build secure, scalable enterprise agentic systems.

A course on designing and deploying production-ready multi-agent systems with Amazon Bedrock AgentCore. Covers multi-agent communication patterns, context engineering and optimisation, security controls including policy-based access and VPC integration, and distributed tracing, observability, and evaluation frameworks for enterprise-scale deployment.