Enrollment Deadline For AI & ML MasterTrack Certificate
Written by Sue Gee   
Wednesday, 06 May 2020

If you want to earn credit towards a Master's Degreee - or just augment your resume with a credential at Masters-degree level Couresa has a new option -  the AI and Machine Learning MasterTrack Certificate, a subset of the Arizona State University Master of Computer Science. But hurry - enrollment ends May 7 and the session starts May 18.

Disclosure: When you make a purchase having followed a link to Coursera from this article, we may earn an affiliate commission.

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Coursera introduced MasterTrack Certificates last fall. As we reported then the format is that portions of Master’s programs have been split into online modules featuring real-world projects. This enables studying to fit in with your own schedule and commitments allowing you to  benefit from expert instruction and feedback combined with interactive team-based learning. If you are accepted into the full Master's program from which the modules are taken your MasterTrack coursework counts towards your degree. 

In the case of the AI and Machine Learning MasterTrack Certificate students can gain in-demand skills in artificial intelligence and machine learning by studying statistical machine learning, deep learning, supervised and unsupervised learning, knowledge representation and reasoning from Arizona State University billed as:

the #1‑ranked school for innovation in the U.S.

Over the course of six months, it covers the following:

  • The mathematics (Statistics, Probability, Calculus, Linear Algebra and optimization) needed for designing machine learning algorithms
  • Common learning paradigms and how to implement foundational algorithms in statistical machine learning
  • The principles, processes, and core concepts involved in designing autonomous agents
  • How to design, train, and optimize deep neural networks
  • The foundations of knowledge representation and reasoning, and how to identify which techniques are appropriate for which tasks.

The pre-requisites are an understanding of the following topics: Basics of algebra, linear algebra, probability, statistics, calculus, and algorithm design and analysis. Knowledge of programming in Python, ROS, and classical logic is also recommended.

You choose three of four courses:

  • Statistical Machine Learning 
  • Artificial Intelligence
  • Knowledge Representation and Reasoning
  • Intro to Deep Learning in Visual Computing

Together with six projects:

  • Density Estimation and Classification
  • Unsupervised Learning (K-means)
  • Classification Using Neural Networks and Deep Learning
  • Bayesian Networks
  • Neural Network for Collision Prediction
  • Insurance Referee Assignment Problem
  • Computer Vision Today

The cost of the program is $4,500, paid by course. Successful completion counts as 9 of 30 credits to Master of Computer Science at ASU.

ASUMT

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Last Updated ( Thursday, 07 May 2020 )