This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
Coursera
Dive into a comprehensive review of machine learning concepts and apply them through an immersive workshop. Learn how to implement end-to-end ML projects with TensorFlow on Google Cloud Platform (GCP). From data prep to model deployment, this course equips you with the skills needed to tackle real-world challenges in machine learning.