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Mastering DevOps on Microsoft Power Platform

You're reading from   Mastering DevOps on Microsoft Power Platform Build, deploy, and secure low-code solutions on Power Platform using Azure DevOps and GitHub

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835880845
Length 444 pages
Edition 1st Edition
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Authors (2):
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Uroš Kastelic Uroš Kastelic
Author Profile Icon Uroš Kastelic
Uroš Kastelic
József Zoltán Vadkerti József Zoltán Vadkerti
Author Profile Icon József Zoltán Vadkerti
József Zoltán Vadkerti
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Understanding DevOps on Microsoft Power Platform
2. Chapter 1: Mastering DevOps and ALM for Efficient Software Development FREE CHAPTER 3. Chapter 2: Getting Started with Microsoft Power Platform 4. Chapter 3: Exploring ALM and DevOps in Microsoft Power Platform 5. Part 2:Implementing DevOps on Microsoft Power Platform
6. Chapter 4: Understanding Power Platform Environments and Solutions 7. Chapter 5: Streamlining Power Platform Development with DevOps Tooling 8. Chapter 6: A Deep Dive into Continuous Integration/Continuous Deployment (CI/CD) Pipelines 9. Chapter 7: An Overview of DevSecOps in Power Platform 10. Chapter 8: Demonstrating ALM and DevOps Implementation 11. Part 3:Exploring DevOps Best Practices and the Road Ahead
12. Chapter 9: Implementing the Fusion Development Approach 13. Chapter 10: Enabling Pro-Dev Extensibility in Power Platform 14. Chapter 11: Managing the Environment Life Cycle with Design Best Practices 15. Chapter 12: Looking Ahead with Copilots, ChatOps, and AI-Infused Applications 16. Index 17. Other Books You May Enjoy

Looking Ahead with Copilots, ChatOps, and AI-Infused Applications

We are currently living in times wherein building applications augmented with artificial intelligence (AI) has become very straightforward. The ability to plug in large language models (LLMs) to our applications and enrich them with AI is unlocking new options and allowing organizations to innovate and redefine their business processes. This chapter will close this book by talking about the AI-infused low-code/no-code development approach. With the introduction of LLMs, such as OpenAI’s Generative Pre-trained Transformer (GPT) models, we have seen a massive shift in the tools that help makers and developers be more productive with their work and achieve outcomes faster. Microsoft Copilot is infusing AI into every Microsoft product, which helps makers and developers build even more apps with the no-code approach by using natural language to describe the desired state. We will dive into Copilot for Power Platform...

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