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Udemy

AWS Kiro Masterclass: Spec-Driven Agentic AI Development

via Udemy

Overview

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Build Agentic AI-powered applications using Kiro, MCP, Steering Files, Hooks, Powers and AIDLC

What you'll learn:
  • AWS Kiro Masterclass - Learn how to build software using the AI-Driven Development Lifecycle (AIDLC).
  • Spec-Driven Development with Kiro - 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.
  • Kiro Steering Files for 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

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.

Taught by

Rahul Trisal

Reviews

4.4 rating at Udemy based on 139 ratings

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