AI for Everyday IT
eBook - ePub

AI for Everyday IT

Accelerate workplace productivity

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI for Everyday IT

Accelerate workplace productivity

About this book

Automate and accelerate your everyday IT tasks with instant solutions!

What if you never had to write another after-incident report, piece of boilerplate code, or a performance review from scratch ever again? Use AI tools like ChatGPT, Claude, Gemini, and Copilot right, and you’ll take back hours of your time—and more! AI for Everyday IT reveals how you can automate dozens of your daily IT tasks with generative AI.

In AI for Everyday IT you’ll learn how to:

• Write effective prompts for common IT tasks
• Optimize report generation, document handling, and workplace communication
• Resolve IT conflicts and crises
• Acquire new skills and upgrade your resume
• AI for help desk, database administration and systems administration
• Incorporate AI into DevOps processes and create AI-powered applications
• Simplify time-consuming people management tasks

In this hands-on guide, automation experts Chrissy LeMaire and Brandon Abshire show you how AI tools like ChatGPT have made their lives a million times easier, and how they can do the same for you. You’ll find proven strategies for using AI to improve help desk support, automate sysadmin and database tasks, aid with DevOps engineering, handle managing IT teams, and dozens more time-saving and quality-improving hacks.

Foreword by Nitya Narasimhan.

About the technology

Have you lost days sifting through logs to find a latency issue? AI can do it in seconds! Need to update your documentation? Mere moments for AI. Are you writing scripts, designing data recovery strategies, and evaluating network designs? AI can handle it all—if you know how to use it.

About the book

AI for Everyday IT shows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning—even writing professional emails when you’re too furious to be nice! This instantly-useful guide has time-saving techniques for all IT pros—from devs and DBAs to technical writers and product managers. Each relatable example is fully illustrated with the prompts and problem formulation strategies, along with interesting insights and anecdotes from authors Chrissy Lemaire and Brandon Abshire.

What's inside

• Document handling and workplace communication
• Database administration and development
• DevOps engineering and AI powered apps
• People management and career planning

About the reader

Whether you’re working in operations, development, management, or security, you’ll love these productivity hacks for generative AI. No previous AI experience required.

About the author

Chrissy LeMaire is a dual Microsoft MVP and GitHub Star, the creator of dbatools, and author of the Manning book Learn dbatools in a Month of Lunches. Brandon Abshire has spent over twenty years in IT, including roles at a leading Fortune 500 semiconductor and telecommunications company and multiple top-ranked US hospital systems.

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Yes, you can access AI for Everyday IT by Chrissy LeMaire,Brandon Abshire in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. AI for Everyday IT
  2. copyright
  3. contents
  4. dedication
  5. foreword
  6. preface
  7. acknowledgments
  8. about this book
  9. about the author
  10. about the cover illustration
  11. Part 1 Introduction to AI
  12. 1 Artificial intelligence in IT
  13. 2 Chatbots: Tasks and tips
  14. 3 Basic intelligence
  15. 4 Prompt engineering and problem formulation
  16. 5 Prompts in action
  17. 6 Document handling
  18. 7 Emails and instant messaging in the workplace
  19. Part 2 IT operations and AI
  20. 8 IT support and service desk
  21. 9 Systems administration
  22. 10 Database administration and development
  23. Part 3 Development and AI integration
  24. 11 Code assistants and development tools
  25. 12 AI in DevOps engineering
  26. 13 Building AI-powered applications
  27. Part 4 Leadership and growth with AI
  28. 14 Conflict resolution and crisis management
  29. 15 Management essentials
  30. 16 Management interventions
  31. 17 Career advancement
  32. appendix A Local AI models: An accessible alternative
  33. appendix B OpenAI GPT Actions