Engineering AI Systems: Architecture and DevOps (ER) by Len Bass(.PDF)

Posted on by

File Size: 10 MB

Engineering AI Systems: Architecture and DevOps Essentials (Early Release) by Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu
Requirements: .ePUB, .PDF reader, 10 MB
Overview: Transform Your Business with AI: The Ultimate Guide to Engineering AI Systems. In the rapidly evolving world of business, integrating Artificial Intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide that will help you master the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how they intersect to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small to medium-sized enterprises across various industries, and offer strategic insights into designing AI systems to align with your business goals. Our approach is that there are three contributors to the building of high-quality systems – 1) software architecture, 2) the processes used for building, testing, deployment, and operations (DevOps), and 3) high quality AI models and the data on which they depend on.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://tbit.to/20rmjj6hiv27.html

https://katfile.com/i2fh4agp9y5i/Engineering_AI_Systems_ER.rar.html