Tag: AWS

Aws Kiro Masterclass Spec-Driven Agentic Ai Development


Aws Kiro Masterclass: Spec-Driven Agentic Ai Development
Published 6/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 13m | Size: 1.72 GB
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

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Generative AI at AWS Turn business strategy into production – ready AI applications and agents (T…

Generative AI at AWS Turn business strategy into production – ready AI applications and agents (True PDF) | 38.37 MB

Title: Generative AI at AWS
Author: Nestor Gandara, Eduardo Ordax, Srikanth Daggumalli, Ashutosh Dubey
Category: Nonfiction, Computers, Database Management, Information Storage & Retrievel, Advanced Computing, Natural Language Processing, Artificial Intelligence
Language: English | 520 Pages | ISBN: 9781806104444

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Machine Learning Engineering on AWS Operationalize and optimize generative AI systems and , 2nd E…

Machine Learning Engineering on AWS Operationalize and optimize generative AI systems and , 2nd Edition (True PDF) | 29.94 MB

Title: Machine Learning Engineering on AWS
Author: Joshua Arvin Lat
Category: Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Theory, Artificial Intelligence
Language: English | 588 Pages | ISBN: 9781835881095

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