Generative AI for Cloud Solutions pdf

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Generative AI for Cloud Solutions

Paul Singh, Anurag Karuparti


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The book "Generative AI for Cloud Solutions" by Paul Singh and Anurag Karuparti is one of the most relevant guides for developers and cloud architects looking to harness the power of generative AI in cloud solutions. The author demonstrates how to integrate AI models, such as GPT, into modern cloud platforms, including AWS, Azure, and Google Cloud.

This book covers both fundamental concepts of generative AI and practical approaches to applying them within cloud infrastructure. Paul Singh emphasizes automating business processes, creating intelligent interfaces, and optimizing workloads in the cloud.

With this book, you’ll learn how to develop intelligent, scalable, and secure business solutions. Download "Generative AI for Cloud Solutions" for free in PDF now and start incorporating cutting-edge AI tools into your projects!

What Topics Are Covered in "Generative AI for Cloud Solutions"?

The book explores the following key topics:

  • Fundamentals of generative AI and its application in cloud ecosystems.
  • Integration of AI models, such as GPT, into cloud platforms.
  • Building intelligent bots, generative models for text, images, and data.
  • Automating tasks using generative AI within cloud solutions.
  • Utilizing OpenAI APIs and other popular tools.
  • Addressing security, privacy, and cost optimization when working with AI in the cloud.
generative ai for cloud solutions paul singh pdf free download
read generative ai for cloud solutions online free
generative ai for cloud solutions book

Who Is This Book For?

  • Developers aiming to learn how to use generative AI in cloud applications.
  • Cloud solution architects looking to integrate AI for automation and process optimization.
  • Business analysts interested in leveraging AI to enhance business efficiency.
  • DevOps engineers working with cloud technologies and seeking to adopt cutting-edge AI tools.
  • IT managers planning to use generative AI to address strategic challenges.

More About the Author of the Book

Paul Singh, Anurag Karuparti

Paul Singh is a Principal Cloud Solution Architect (CSA) at Microsoft, where he has worked for over a decade. Paul has been instrumental in shaping its scope and responsibilities. He has served on national hiring committees and contributed to the creation of the first Azure Architecture Exam. Throughout his career, Paul has received numerous honors and awards, earned over 30 technical certifications.

Anurag Karuparti is a Senior Cloud Solution Architect specializing in AI within Microsoft’s Azure practice. With over 10 years of experience, Anurag is a trusted expert in cloud computing, data, and advanced analytics. Anurag has designed and implemented cutting-edge AI-driven solutions that drive innovation and transform businesses.

FAQ for "Generative AI for Cloud Solutions"

Q1: Is this book suitable for beginners?

It is designed for professionals with basic knowledge of cloud technologies and artificial intelligence, but its structure makes the material accessible to beginners.

Q2: What cloud platforms are covered?

The author provides in-depth analysis of AWS, Azure, and Google Cloud, along with universal recommendations for other platforms.

Q3: What practical examples are included?

The book features case studies on developing chatbots, text generation, and automating business processes using AI models.

Q4: Can this book be used for commercial projects?

Yes, it is focused on applying AI to real-world business scenarios and includes examples that can be easily adapted for commercial purposes.

Q5: Are cost optimization topics discussed?

Yes, the authors highlight ways to reduce costs when working with generative AI in the cloud, including optimizing computational resources.

Q6: Are data security topics addressed?

Yes, the book contains sections on ensuring data privacy and minimizing risks when using AI in the cloud.

Information

Author: Paul Singh, Anurag Karuparti Language: English
Publisher: Packt Publishing ISBN-13: 978-1835084786
Publication Date: April 22, 2024 ISBN-10: 1835084788
Print Length: 300 pages Category: Machine Learning and Artificial Intelligence Books


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