Ultimate Microsoft Power Apps with OpenAI

Transform Low-Code Apps into Intelligent Business Solutions

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● Step-by-step Azure OpenAI integration inside real Power Apps canvas and enterprise solutions.
● Prompt engineering, content safety, speech recognition, and Azure AI services built in throughout.
● End-to-end governance, security, and Responsible AI practices for production OpenAI-powered apps.

Book Description
OpenAI Is Changing How Applications Think. Power Apps Is Changing How Fast You Can Build Them.

OpenAI is redefining what business applications can do, and Power Apps is the fastest way to put that intelligence in the hands of every user! Ultimate Microsoft Power Apps with OpenAI bridges low-code development and generative AI, showing you how to embed OpenAI capabilities directly into Power Apps to build smart, responsive, and context-aware enterprise solutions grounded in real-world implementation.

You will master Power Fx, Dataverse, and Power Automate before diving into Azure OpenAI integrations covering prompt engineering, intelligent data manipulation, content safety, and speech and video recognition. Each chapter builds progressively, giving you a complete picture of how OpenAI supercharges the Power Platform across the entire application lifecycle.

The final section covers solution management, governance, security, and Responsible AI practices specific to OpenAI-powered applications. Thus, by the end of the book, you will be well-equipped to design, deploy, and scale intelligent Power Apps solutions that are functional, trustworthy, and future-proof.

What you will learn
● Build canvas applications integrated directly with Azure OpenAI services and Dataverse.
● Design intelligent automation workflows using Power Automate and OpenAI prompt engineering.
● Apply prompt engineering techniques and content safety controls inside Power Apps solutions.
● Implement speech and video recognition capabilities in enterprise Power Apps applications.
● Secure and govern OpenAI-powered applications using Responsible AI principles and frameworks.
● Deploy and manage Power Apps solutions across the full Power Platform ecosystem.

1. Introduction to Power Apps
2. Designing User Interface and Working with Data Sources
3. Power Fx Formulas and Advanced App Customization
4. Automating Your Workflow with Power Automate
5. Foundation of Generative AI and OpenAI
6. Powering up with Azure OpenAI and Foundry
7. Understanding Microsoft Dataverse
8. Building Intelligent Power Apps with Dataverse and OpenAI
9. Leveraging OpenAI for Data Manipulation
10. Building Intelligent Applications with OpenAI
11. Working with AI Tools for Speech and Video Recognition
12. Choosing the Tools for Power App Development
13. Mastering Solution Management
14. Security Considerations and Governance
15. Need of the Hour toward Responsible AI
16. The Near Future of AI
Index

Divya Akula is a Microsoft MVP, AI Architect, speaker, and author with more than 16 years of experience in the Microsoft ecosystem. She specializes in Power Apps, Power Platform, Azure OpenAI, and Copilot Studio, helping enterprises design and deploy intelligent, scalable, and Responsible AI solutions. Divya is a sought-after international speaker and a trusted voice in the Microsoft community on AI-powered application development.

About the Technical Reviewer

Shrikant Sharma is a seasoned AI and Business Applications leader, currently serving as Associate Director – Advisory at PwC India. With around 14 years of experience in enterprise transformation, he stands at the intersection of strategy, architecture, and intelligent automation, helping organizations evolve from traditional CRM landscapes to AI-first, Copilot-powered ecosystems.

Recognized for his ability to translate complex business challenges into scalable Microsoft Cloud solutions, Shrikant specializes in Dynamics 365 Customer Engagement and the Power Platform, with a strong focus on AI-driven transformation. He architects Copilot-enabled business scenarios that embed generative AI, predictive analytics, and conversational intelligence directly into sales, service, and operational workflows. Shrikant is a strong advocate of responsible AI adoption, governance-led architecture, and DevOps maturity. He is also a thought leader and mentor within the Microsoft ecosystem, actively contributing to knowledge-sharing initiatives and guiding professionals on AI readiness and low-code innovation.

Aakash Rahsi is a modern workplace solution architect, cloud-automation strategist, and cybersecurity researcher with more than 13 years of enterprise consulting experience. He holds 18 professional certifications including Microsoft Certified: Azure Solutions Architect Expert, Cybersecurity Architect Expert, DevOps Engineer Expert, and AWS SysOps Administrator. He has designed and secured Microsoft 365, Azure, AWS, and GCP environments for organizations on five continents.

Aakash leads the development of the Rahsi AI Governance FrameworkTM and Rahsi Security MeshTM, proprietary architectures that embed Zero-Trust, SIEM + XDR telemetry, and generative-AI automation into modern workplaces. His vulnerability research has contributed to multiple CVE disclosures (For example, CVE-2026- 26117, CVE-2026-26118), reinforcing his reputation for proactive, security-first design. He publishes thought leadership on cloud security futures, mentors rising technologists, and speaks at industry forums across Asia-Pacific.