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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.
Overview
Syllabus
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Welcome to Serverless Machine Learning on Google Cloud Platform
Module 1: Getting Started with Machine Learning
Module 2: Building ML models with Tensorflow
Module 3: Scaling ML models with Cloud ML Engine
Module 4: Feature Engineering
