The Power Platform Playbook for Digital Transformation

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

16 hours 23 minutes
Sessions

On-Demand
Subtitles

English

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Overview

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This course is a comprehensive guide to leveraging Microsoft’s Power Platform for digital transformation. It focuses on scalable, low-code solutions using Power Apps, Power Automate, Power BI, and AI-enhanced automation to streamline business processes and drive innovation. The course offers actionable strategies for integrating enterprise-grade applications into your organization. The course will help you gain the practical skills needed to design and deploy end-to-end business solutions. You’ll learn how to automate processes, reduce inefficiencies, and utilize low-code/no-code capabilities to create powerful applications. The course also covers best practices in governance, security, and compliance. What makes this course unique is its hands-on approach that blends theory with practical, real-world case studies. You will implement strategies that use the Power Platform to transform business workflows, enhance decision-making, and improve efficiency through automation and data-driven insights. This course is ideal for business leaders, IT professionals, and analysts who want to optimize workflows and drive innovation in their organizations. Basic knowledge of business processes and cloud services is required, and no coding experience is necessary.

Syllabus

Unleashing Transformation: Power Platform's Role in Digital Evolution

In this section, we explore how Power Platform drives digital transformation through low-code development, AI integration, and strategic growth. It covers economic forces, market leadership, and practical applications like AI Copilot to enhance efficiency and innovation in business processes.

Gauging Growth Assessing Digital Maturity for Strategic Advancement

In this section, we explore how to evaluate and enhance digital maturity in Power Platform using CoE frameworks and C4E support. We focus on structured assessments, strategic planning, and data-driven improvement to drive adoption and measurable outcomes.

Unlocking Potential: Enhancing Operations with the Power Platform

In this section, we explore how the Power Platform empowers users to build custom applications with Power Apps, automate workflows using Power Automate, and analyze data through Power BI, enabling faster development and operational efficiency. Key concepts include low-code/no-code development, citizen developer roles, and the integration of tools like Dataverse and AI Builder to drive digital transformation and enhance decision-making.

Creating Your Center for Enablement

In this section, we explore strategies for building a Center for Enablement (C4E) that fosters innovation, learning, and collaboration within the Power Platform. The focus is on creating safe spaces for makers, aligning creativity with IT governance, and driving digital transformation through structured enablement and knowledge sharing.

Executing and Scaling Transformation Initiatives

In this section, we explore how to execute and scale transformation initiatives using Power Platform's low-code tools, focusing on rapid prototyping, scalable solution design, and integration with Microsoft Azure. Key concepts include agile development, architectural best practices, and measuring value through tangible outcomes and ROI frameworks.

Orchestrating Success: Key Considerations for a Digital Transformation Strategy Using Power Platform

In this section, we explore key considerations for digital transformation using Power Platform, focusing on structured adoption strategies, governance frameworks, and stakeholder engagement. It emphasizes executive sponsorship, change management, and training to ensure measurable outcomes and successful implementation.

Collaboration and Change in Digital Transformation

In this section, we examine stakeholder alignment strategies, admin team responsibilities, and fusion team collaboration to drive successful Power Platform adoption. Key concepts include stakeholder mapping, buy-in strategies, and cultural change management, emphasizing scalable, efficient, and culturally aligned digital transformation.

Power Platform Solutions for Digital Transformation

In this section, we explore stakeholder alignment strategies and CMMI integration to drive successful Power Platform adoption. We examine fusion team structures and governance frameworks to enhance collaboration and ensure structured digital transformation.

Streamlining Operations: Automating Processes with Solutions Built with Power Platform

In this section, we explore how to identify proof of concept (POC) candidates for Power Platform automation by analyzing repetitive or error-prone processes. We emphasize using application lifecycle management (ALM) principles and the Creator Kit to accelerate solution development, ensuring scalability and collaboration through tools like source control, CI/CD, and managed solutions.

Fortifying the Foundation: Integrating Systems, Ensuring Governance, and Security

In this section, we explore building a secure and adaptable technological foundation through a Center of Excellence (CoE) journey, focusing on Secure, Evangelize, Monitor, and Evolve stages. It emphasizes implementing security frameworks, cultivating a security culture, using monitoring dashboards, and leveraging YoY adoption metrics for continuous improvement.

Establishing Strong Foundations in Governance and Security for Power Platform Solutions

In this section, we explore implementing data loss prevention (DLP) policies, configuring tenant isolation, and designing security roles in Power Platform to protect sensitive data and ensure compliance. Key concepts include DLP components, tenant isolation strategies, and least privilege security roles in Dataverse, emphasizing practical applications for secure enterprise environments.

Navigating Compliance: Meeting Industry Regulations in Power Platform Deployments

In this section, we explore how to align Power Platform solutions with global compliance standards like GDPR, HIPAA, and CCPA, emphasizing secure data handling and legal adherence. We examine strategies for implementing compliance, securing data transmission via API connectors, and leveraging Microsoft Government Cloud frameworks to meet regional regulatory requirements.

From Metrics to Milestones: Measuring Success in Power Platform Initiatives

In this section, we explore how to measure the success of Power Platform initiatives through strategic roadmaps, KPIs, and SMART goals. We focus on using the CoE Starter Kit to align Power Platform adoption with business objectives, designing KPI frameworks to track progress, and leveraging data-driven benchmarks to ensure continuous improvement and organizational impact.

Tracking Success Measures: Monitoring Progress and Achieving Objectives

In this section, we explore how to define and track key performance indicators (KPIs) to measure Power Platform adoption, user engagement, and success. We cover tools like CoE analytics, Power BI, and Power Automate to automate data collection and create custom dashboards for real-time insights. The focus is on using user feedback, surveys, and analytics to drive continuous improvement and ensure the platform aligns with business goals. Practical applications include monitoring maker knowledge, satisfaction, and application usage to optimize Power Platform implementation.

Embracing AI-Powered Copilots and Agents in Digital Transformation

In this section, we explore how AI copilots and agents enhance productivity and decision-making by integrating into platforms like Microsoft 365 and Power Automate. We examine the role of large language models (LLMs) such as GPT in generating context-aware insights, automating workflows, and streamlining tasks such as data modeling and content creation. The focus is on practical applications, including deploying AI agents for customer service, diagnostics, and workflow automation, while emphasizing the benefits of user-centric design and reduced manual effort. Key concepts include the evolution from rule-based systems to adaptive AI tools, the impact of generative AI on content creation, and the importance of aligning AI solutions with user needs for better adoption and usability.