Overview

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This course explores integrating AI and Copilot into Power Platform, emphasizing enterprise-grade solutions. Professionals learn how AI enhances automation, efficiency, and decision-making across business processes. Learners will gain practical skills to design, validate, and implement Power Platform solutions with AI integration. It covers ALM, go-live strategies, and establishing a Center of Excellence to ensure scalable deployments. Unlike typical tutorials, this course blends theory with real-world applications, offering actionable strategies and certification-focused guidance for solution architects. Ideal for IT architects, Power Platform developers, and enterprise solution designers with basic platform knowledge, looking to implement AI-driven solutions. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

Power Platform and AI

This module guides learners through integrating AI capabilities into business solutions using Power Platform, including AI Builder, Azure OpenAI, and advanced design patterns for secure, scalable applications. Learners will explore real-world case studies, solution architecture, and best practices for deploying, monitoring, and optimizing AI-driven processes. Emphasis is placed on both technical implementation and strategic decision-making for AI adoption.

Copilot

This module guides learners through the planning, design, and implementation of Copilot experiences within the Power Platform. You will explore AI-driven productivity enhancements, architectural considerations for enterprise solutions, and best practices for deploying and managing Copilot-powered applications.

Validating the Solution's Design and Implementation

This module guides learners through the process of validating Power Platform solutions by ensuring design compliance, security adherence, and effective integration management. You will explore best practices for code reviews, source control strategies, and working within API limits to deliver robust and secure applications.

Power Platform Implementation Strategies

This module guides learners through best practices for implementing Power Platform solutions, including environment management, team workflow optimization, and test strategy design. Participants will gain practical insights into structuring business applications and maximizing cross-functional team effectiveness.

Power Platform ALM

This module guides learners through the essentials of application lifecycle management (ALM) within Microsoft Power Platform, focusing on both native pipelines and Azure DevOps integration. Participants will gain hands-on experience with source control, deployment automation, and best practices for managing solutions in various project scenarios.

Go-Live Strategies and Support

This module guides learners through effective strategies for launching Power Platform solutions, including phased and big-bang go-live approaches, performance optimization, and data migration planning. Learners will also discover best practices for user adoption, cutover planning, and validating solutions before production deployment.

Setting Up a Power Platform Center of Excellence

This module guides learners through the foundational steps of establishing a Power Platform Center of Excellence (CoE), emphasizing governance, monitoring, and best practices for low-code adoption. Learners will explore the CoE Starter Kit, organizational setup, and real-world implementation strategies to maximize business value. Case studies and practical tips illustrate how to drive successful digital transformation.