Machine Learning on Google Cloud

Google Cloud via Coursera Specialization

Coursera Specialization based on 8 ratings

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Overview

What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use automated machine learning or custom training? This course teaches you how to build Vertex AI Auto ML models without writing a single line of code; build Big Query ML models knowing basic SQL; create Vertex AI custom training jobs you deploy using containers (with little...

Syllabus

Course 1: How Google does Machine Learning- Offered by Google Cloud. This course explores what ML is and what problems it can solve. The course also discusses best practices for ... Enroll for free.Course 2: Launching into Machine Learning- Offered by Google Cloud. The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. ... Enroll for free.Course 3: Build, Train and Deploy ML Models with Keras on Google Cloud- Offered by Google Cloud. This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML ... Enroll for free.Course 4: Feature Engineering- Offered by Google Cloud. This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and ... Enroll for free.Course 5: Machine Learning in the Enterprise- Offered by Google Cloud. This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML ... Enroll for free.