Scalable AI and Design Patterns : Design, Develop, and Deploy Scalable AI Solutions / by Abhishek Mishra.

Format:

Book

Author/Creator:

Mishra, Abhishek.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Artificial intelligence.

Python (Computer program language).

Artificial Intelligence.

Python.

Local Subjects:

Artificial Intelligence.

Python.

Physical Description:

1 online resource (268 pages)

Edition:

1st ed. 2024.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2024.

Summary:

Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation. This book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including data engineering practices and strategies. The book also addresses scalable algorithms, models, infrastructure, and architecture considerations. Additionally, it discusses deployment, productionization, real-time and streaming data, edge computing, governance, and ethics in scalable AI. Real-world case studies and best practices are presented, along with insights into future trends and emerging technologies. The book focuses on scalable AI and design patterns, providing an understanding of the challenges involved in developing AI systems that can handle large amounts of data, complex algorithms, and real-time processing. By exploring scalability, you will be empowered to design and implement AI solutions that can adapt to changing data requirements. What You Will Learn Develop scalable AI systems that can handle large volumes of data, complex algorithms, and real-time processing Know the significance of design patterns in creating robust intelligent solutions Understand scalable algorithms and models to handle extensive data and computing requirements and build scalable AI systems Be aware of the ethical implications of scalable AI systems.

Contents:

Chapter 1: Introduction to Scalable AI Systems

Chapter 2: Fundamentals of Scalability in AI

Chapter 3: Data Engineering for Scalable AI

Chapter 4: Scalable AI Algorithms and Models

Chapter 5: Scalable AI Infrastructure and Architecture

Chapter 6: Scalable AI Deployment and Productionization

Chapter 7: Scalable AI for Real-time and Streaming Data

Chapter 8: Scalable AI for Edge Computing

Chapter 9: Scalable AI Governance and Ethics

Chapter 10: Case Studies and Best Practices

Chapter 11: Future Trends and Emerging Technologies

Chapter 12: Conclusion and Final Thoughts.

Notes:

Description based upon print version of record.

Description based on publisher supplied metadata and other sources.

ISBN:

9798868801587

OCLC:

1427064290