Implementing AI Systems

Pre-Owned Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services (Paperback)

Mastering Databricks Lakehouse Platform: Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)

Machine Learning Infrastructure and Best Practices for Software Engineers - by Miroslaw Staron (Paperback)

Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

Cloud Computing Solutions Architect

Machine Learning in the Cloud: Automate and Scale Machine Learning Pipelines in the Cloud

Getting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Google Cloud Platform for Data Science

Web Services, Service-Oriented Architectures, and Cloud Computing

Cloud Native Development with Google Cloud

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Microsoft Azure AI Cloud Developer Associate (AI-200) - Engineer Production Cloud Services: Microsoft AI-200 Guide: Containers, Kubernetes, Cosmos DB, PostgreSQL, Messaging, Security, Monitoring

Machine Learning with Spark: Develop intelligent, distributed machine learning systems

Machine Learning for Cloud Management

Introducing Machine Learning

Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems

Pre-Owned Machine Learning Engineering on AWS: Build scale and secure machine learning systems and MLOps (Paperback) by Joshua Arvin Lat

Cloud Computing: Concepts, Technology, Security, and Architecture, Second Edition

Azure AI Services at Scale for Cloud, Mobile, and Edge

Azure AI Services at Scale for Cloud, Mobile, and Edge