Serverless Machine
Learning with Cloud ML

Date: 3/6 or 3/7

Duration: Full Day - Monday 10am–6pm, Tuesday 9am–5pm

Price: $500. Save 20% if you sign up for a second Next ’17 bootcamp.*

Sign up for Bootcamp
Cost of bootcamps is not included in the price of your Next ’17 registration. To register for Next ’17 go here.


During this bootcamp you’ll learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. This one-day instructor-led course builds upon CPB100 and CPB101 (which are prerequisites for this training).

Delivery method

This course is delivered through a combination of:

  • Instructor-led Training (ILT)
  • Hands-on Labs


This bootcamp teaches you how to:

  • 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
  • Employ ML Application Programmer Interfaces (APIs)
  • Productionize trained ML models


This bootcamp is intended for programmers and data scientists responsible for developing predictive analytics using ML. The typical audience member has experience analyzing and visualizing big data, implementing cloud-based big data solutions, and transforming or processing datasets.

Bootcamp Outline

Module 1

Getting started with machine learning

Module 2

Building ML models with TensorFlow

Module 3

Scaling ML models with Cloud ML

Module 4

Feature engineering

Module 5

ML architectures