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Serverless Machine Learning with Tensorflow on Google Cloud Platform

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Serverless Machine Learning with Tensorflow on Google Cloud Platform
Google Cloud Online Course Highlights
  • weeks long
  • 8-12 hours per week
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Google Cloud Training
  • View Course Syllabus

Online Course Details:

This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models.

OBJECTIVES
This course teaches participants the following skills:

● Identify use cases for machine learning
● Build an ML model using TensorFlow
● Build scalable, deployable ML models using Cloud ML
● Know the importance of preprocessing and combining features
● Incorporate advanced ML concepts into their models
● Productionize trained ML models

PREREQUISITES
To get the most of out of this course, participants should have:

● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience
● Basic proficiency with common query language such as SQL
● Experience with data modeling, extract, transform, load activities
● Developing applications using a common programming language such Python
● Familiarity with Machine Learning and/or statistics

Google Account Notes:
• Google services are currently unavailable in China.
Take This Online Course