This reading list offers a practical introduction to using popular cloud platforms like Azure, AWS, and GCP for data analytics, machine learning, and AI. Learn to build, deploy, and manage cloud-based machine learning models efficiently. It emphasizes optimizing productivity, rapid deployment, cost-effectiveness, and achieving higher model accuracy. Explore the full spectrum of ML workflows, including experimentation, training, monitoring, scaling, deployment, and automation. Additionally, discover how to design and develop edge analytics applications with Azure IoT Edge.