Machine Learning Foundations

This 3-course track equips you with knowledge of machine learning concepts, and the skills and best practices to build effective ML systems in the real world.

The track gives students the opportunity to apply the ML concepts they are learning to carefully-designed projects that simulate problems they will encounter in the real world.

Taught by experts from:

Price

~~US$ 1200~~US$ 960

Track Duration

3 courses x 4 weeks each

Start Date

September 5

Registration By

September 2

Learn alongside a small group of your professional peers

Connect with experts through live sessions and office hours

Real-world projects that teach you industry skills.

This track is for...

Software Engineers skilled in programming looking for a career change into machine learning engineering.

Early Machine Learning Engineers excited about industry applications of machine learning models.

Data Scientists who want to learn about the production ML lifecycle.

Prerequisites

Familiarity with basic Python programming, web development, and have completed a first-course in machine learning (or any equivalent)

Having some background in calculus, statistics, and linear algebra is also a plus. However, don't worry if you don't remember everything from that one calculus class you took in high school! We won't assume any specific knowledge, though concepts like derivatives and matrices will be touched on.