Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT™ Solutions

Embrace emerging AI trends and integrate your operations with cutting-edge solutions

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want  to bring new AI technologies like generative AI, ChatGPT, and machine  learning (ML) into their suite of cloud-based solutions. If you want to  set up AI platforms in the cloud quickly and confidently and drive your  business forward with the power of AI, this book is the ultimate go-to  guide. The author shows you how to start an enterprise-wide AI  transformation effort, taking you all the way through to implementation,  with clearly defined processes, numerous examples, and hands-on  exercises. You'll also discover best practices on optimizing cloud  infrastructure for scalability and automation.

Enterprise AI in the Cloud helps you gain a solid understanding of:

• AI-First Strategy:  Adopt a comprehensive approach to implementing corporate AI systems in  the cloud and at scale, using an AI-First strategy to drive innovation
• State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR,  blockchain, metaverse, hyper-automation, generative AI, transformer  models, Keras, TensorFlow in the cloud, and quantum machine learning
• Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation
• AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to  deploying models and beyond, leveraging the full power of Azure, AWS,  and Google Cloud platforms
• AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a  winning AI strategy and portfolio, and driving an innovation culture
• Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics
• Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI  Maturity Models, AI Center of Excellence, and AI Operating Model

Whether  you're a beginner or an experienced AI or MLOps engineer, business or  technology leader, or an AI student or enthusiast, this comprehensive  resource empowers you to confidently build and use AI models in  production, bridging the gap between proof-of-concept projects and  real-world AI deployments.

With over 300 review  questions, 50 hands-on exercises, templates, and hundreds of best  practice tips to guide you through every step of the way, this book is a  must-read for anyone seeking to accelerate AI transformation across  their enterprise.