The Low-Code AI Maturity Model

The Low-Code AI Maturity Model: Leading Responsible AI Transformation with Microsoft Power Platform

Architect your automation logic and master the high-performance protocols of modern low-code engineering. The Low-Code AI Maturity Model provides a definitive, engineering-first roadmap to the most significant shift in rapid application development since the digital revolution. Learn how to move beyond basic app building to high-velocity, intelligence-driven discovery—bridging the gap between a standalone low-code solution and a sophisticated, enterprise-integrated AI ecosystem—ensuring your technical projects are resilient, scalable, and ready for the 2026 global technology landscape.

Note: This is a digital product and the download link will be sent to your email address immediately after payment.

What You Will Learn:

Foundations of Low-Code AI Architecture: Master the core principles of the maturity model and the essential mechanics of leading a responsible AI transformation using the Microsoft Power Platform.

Modern Governance Workflows: Step-by-step guidance on identifying, assessing, and mitigating risks to ensure stable, reliable, and compliant AI deployments.

Scalable Business Patterns: Discover how to evaluate the real business value and ROI of AI projects, empowering data-driven decision-making across the enterprise.

Strategic Security & Ethical Integrity: Learn advanced techniques for maintaining information security within low-code environments, aligning with global ethics and compliance standards while ensuring the technical agility of your AI-ready workforce.

Who This Book is For: This professional-grade guide is essential for IT Leaders, Solution Architects, and Power Users. It is an invaluable resource for any technical lead—including those building highly efficient, AI-integrated graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, evidence-based software and system delivery.

Product Details:

Format: Digital PDF/eBook Download

Author: Steve Jeffery

Publisher: Apress (Released late 2025)

ISBN-13: 9798868817304 (electronic) / 9798868817298 (print)

ISBN-10: 8868817306