AWS Kiro Masterclass: Spec-Driven Agentic AI Development

Master AWS Kiro and learn how to build software using the AI-Driven Development Lifecycle (AIDLC).

• In this hands-on course, you'll learn how to use AWS Kiro from the ground up while building a realistic business application called FleetMate.

• Starting with Spec-Driven Development, you'll use Kiro to create Requirement, Design, and Task files that transform business requirements into actionable implementation plans.

• Model Context Protocol (MCP) integration between Kiro and Jira for publishing FleetMate user stories in Jira through a chat interface.

• MCP integration between Kiro and Confluence for publishing FleetMate Design in Confluence through a chat interface.

• Enable Steering Files in Kiro for AI Governance, Standarization of Design, Architecture and Code Generation across the Enterprise teams and Developers.

• Kiro Hooks for Automation of workflows to improve Developer productivity and improve quality.

• Kiro Powers for reusable AI workflows and enhanced contextual response generation

• Kiro Model selection and development best practices

Whether you're a software developer, solutions architect or an AWS professional, this course will help you understand how AI-native software development using Kiro is transforming the way applications are designed and built.

By the end of this course, you'll be able to confidently use AWS Kiro to build, automate, and accelerate modern software development workflows in both individual and enterprise environments.