Cloud Ai Mastery Deploying Models At Scale With Aws Azure And Google Cloud
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Cloud AI Mastery: Deploying Models at Scale with AWS, Azure, and Google Cloud
Cloud AI Mastery: Deploying Models at Scale with AWS, Azure, and Google Cloud" is a comprehensive guide for data scientists, machine learning engineers, and developers seeking to leverage the power of cloud computing for building, training, deploying, and managing AI models at scale. The book begins by establishing a strong foundation in cloud computing principles and core machine learning concepts, including supervised, unsupervised, and reinforcement learning, as well as neural network architectures. The core of the book dives into the AI/ML offerings of the three major cloud providers: AWS, Azure, and Google Cloud. For AWS, the book explores Amazon SageMaker in detail, covering model building, training, hyperparameter tuning, and deployment strategies like real-time inference and batch transform. It also examines AWS AI services like Rekognition, Comprehend, Translate, and Polly. The Azure section focuses on Azure Machine Learning, including workspaces, automated ML, the Designer interface, and MLOps integration with Azure DevOps. It also covers Azure Cognitive Services, exploring Vision, Speech, Language, and Decision APIs. The Google Cloud section delves into Vertex AI, covering Workbench, custom training, pre-trained models, and MLOps with Vertex AI Pipelines. It also explores Google Cloud AI APIs like the Vision, Natural Language, and Translation APIs, along with Dialogflow for conversational AI. The book then transitions to advanced topics and best practices, covering scaling AI deployments with containerization (Docker and Kubernetes) and serverless computing. It also addresses crucial aspects like monitoring, logging, debugging, security, compliance (GDPR, HIPAA, PCI DSS), and cost optimization strategies. The conclusion looks at the future of cloud AI, discussing emerging trends like edge AI, TinyML, explainable AI, generative AI, and responsible AI practices. Throughout the book, practical examples, code snippets, and comparative analyses are provided to enhance understanding and facilitate real-world application of the concepts. This makes "Cloud AI Mastery" a practical resource for anyone looking to master cloud-based AI deployments.
Cloud AI Mastery: Deploying Models at Scale with AWS, Azure, and Google Cloud
Cloud AI Mastery: Deploying Models at Scale with AWS, Azure, and Google Cloud" is a comprehensive guide for data scientists, machine learning engineers, and developers seeking to leverage the power of cloud computing for building, training, deploying, and managing AI models at scale. The book begins by establishing a strong foundation in cloud computing principles and core machine learning concepts, including supervised, unsupervised, and reinforcement learning, as well as neural network architectures. The core of the book dives into the AI/ML offerings of the three major cloud providers: AWS, Azure, and Google Cloud. For AWS, the book explores Amazon SageMaker in detail, covering model building, training, hyperparameter tuning, and deployment strategies like real-time inference and batch transform. It also examines AWS AI services like Rekognition, Comprehend, Translate, and Polly. The Azure section focuses on Azure Machine Learning, including workspaces, automated ML, the Designer interface, and MLOps integration with Azure DevOps. It also covers Azure Cognitive Services, exploring Vision, Speech, Language, and Decision APIs. The Google Cloud section delves into Vertex AI, covering Workbench, custom training, pre-trained models, and MLOps with Vertex AI Pipelines. It also explores Google Cloud AI APIs like the Vision, Natural Language, and Translation APIs, along with Dialogflow for conversational AI. The book then transitions to advanced topics and best practices, covering scaling AI deployments with containerization (Docker and Kubernetes) and serverless computing. It also addresses crucial aspects like monitoring, logging, debugging, security, compliance (GDPR, HIPAA, PCI DSS), and cost optimization strategies. The conclusion looks at the future of cloud AI, discussing emerging trends like edge AI, TinyML, explainable AI, generative AI, and responsible AI practices. Throughout the book, practical examples, code snippets, and comparative analyses are provided to enhance understanding and facilitate real-world application of the concepts. This makes "Cloud AI Mastery" a practical resource for anyone looking to master cloud-based AI deployments.
IaaS Mastery: Infrastructure As A Service
Unlock the Power of Cloud Infrastructure with "IaaS Mastery" Book Bundle! Are you ready to conquer the dynamic world of cloud infrastructure? Look no further than the "IaaS Mastery: Infrastructure as a Service" book bundle, your comprehensive guide to mastering cloud technology with a focus on the industry's leading providers. Discover What's Inside: Book 1 - IaaS Fundamentals: A Beginner's Guide to Cloud Infrastructure Begin your journey with a solid foundation. Learn the essentials of cloud computing and understand the core principles of Infrastructure as a Service. Perfect for newcomers and those seeking a refresher on cloud basics. Book 2 - Mastering IaaS: Building Scalable Cloud Solutions with AWS and GCE Dive into practical applications with Amazon Web Services (AWS) and Google Cloud Engine (GCE). Gain hands-on experience in creating scalable and resilient cloud solutions using these renowned platforms. Book 3 - Advanced IaaS Architectures: Optimizing Microsoft Azure for Enterprises Elevate your expertise with a deep dive into Microsoft Azure. Explore advanced topics such as high-performance networks, scalable compute solutions, security measures, and automation tailored for enterprise workloads. Book 4 - IaaS Expertise: Harnessing the Power of IBM Cloud for Enterprise Solutions Unleash the potential of IBM Cloud as a tool for enterprise transformation. Discover infrastructure offerings, networking strategies, security features, and advanced automation capabilities. Real-world enterprise success stories provide valuable insights. Why Choose "IaaS Mastery"? · Comprehensive Coverage: From beginner to expert, this bundle covers everything you need to know about IaaS. · Hands-On Experience: Practical examples and real-world scenarios ensure you're ready to apply your knowledge. · Top Cloud Providers: Learn from the best—AWS, GCE, Microsoft Azure, and IBM Cloud. · Enterprise Focus: Equip yourself with skills tailored for the demands of large organizations. · Future-Proof Your Career: Cloud technology is the future; stay ahead of the curve with this invaluable resource. Don't miss this opportunity to become an IaaS expert. Whether you're an IT professional, aspiring cloud enthusiast, or business leader, "IaaS Mastery" empowers you with the knowledge and skills to succeed in the digital age. Purchase the bundle today and embark on your journey to mastering cloud infrastructure!