Keras Machine Learning: Build and Deploy in the Cloud

Machine learning is transforming industries, but building a model is only half the battle—you also need to know how to deploy it so others can use it. This text-only course guides you through the entire lifecycle of a machine learning project, from initial design to cloud deployment. You will transition from understanding basic neural network concepts to confidently training Keras models and preparing them for production in cloud environments. What you will learn: Understand foundational machine learning concepts and the Keras API; Build and train deep learning models using TensorFlow and Keras; Implement modern preprocessing techniques to prepare your data; Deploy trained models to cloud infrastructure for real-time predictions; Apply basic MLOps principles, including model versioning and monitoring. The course begins with essential terminology and the mathematical foundations of neural networks before moving into hands-on model architecture and cloud deployment patterns. This course is designed for aspiring data scientists, software developers, and tech enthusiasts looking for a clear, structured introduction to cloud-based machine learning. No prior machine learning experience is required, though basic familiarity with Python is helpful. Start reading today to build and launch your first cloud-ready machine learning models.