This specialization has 5 courses in it that focus on advanced machine learning topics through Google Cloud Platform. Through this specialization, you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. You will be taught how to build scalable, accurate, and production-ready models for structured and image data, time-series, and natural language text. It will end with a course that is about building recommendation systems. One thing that must be kept in mind is that the topics in all these 5 Google Digital Garage courses are interlinked to one another. Which means that you have to take the courses in exactly the same order. So start with this specialization by enrolling in it now.
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress. Delve into our curated selection of resources and master TensorFlow with our complimentary certification training program.
Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you’ll need to finish each of the other courses before you can start it.
When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network. For those interested in diving into TensorFlow, our top TensorFlow course recommendations can help you find the best learning options available.
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