19 June 2019


9 Months, Online
6-8 hours per week


USD 3,000*

*Payable in 2 equal installments
Non-refundable application fee: USD 50

PRE-REQUISITES: The diploma requires an undergraduate knowledge of statistics, (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation, etc.) calculus, linear algebra (vectors, matrices, derivatives), and probability.

Why Enroll For Postgraduate Diploma in Machine Learning and Artificial Intelligence?

Artificial intelligence (AI) and machine learning algorithms are transforming systems, experiences, processes, and entire industries. It’s no wonder that business leaders see these data-driven technologies as fundamental for the future—and that practitioners fluent in both fields are in high demand.

At Columbia Engineering, we are fascinated by their world-changing potential, and we’ve created the Postgraduate Diploma in Machine Learning and Artificial Intelligence, in partnership with EMERITUS, to help students understand the fundamentals of AI and machine learning and how to apply them to solve complex, real-world problems.


Your Learning Journey

Video Lectures



Application Assignments

Capstone Project

Live Online
Teaching Sessions

  • Module 1: Applied Machine Learning

    Supervised Learning

    • Regression Maximum Likelihood, Least Squares, Regularization
    • Bayesian Methods Bayes Rule, MAP Inference, Active Learning
    • Foundational Classification Algorithms Nearest Neighbors, Perceptron, Logistic Regression
    • Refinements to Classification Kernel Methods, Gaussian Process
    • Intermediate Classification Algorithms SVM, Trees, Forests and Boosting

    Unsupervised Learning

    • Clustering Methods K-Means Clustering, E-M, Gaussian Mixtures
    • Recommendation Systems Collaborative Filtering, Topic Modeling, PCA
    • Sequential Data Models Markov and Hidden Markov Models, Kalman Filters
    • Association Analysis
    • Clustering Methods - II Model Comparisons, Analysis Considerations
  • Module 2: Applied Artificial Intelligence
    • Introduction to Artificial Intelligence
    • Intelligent Agents and Uninformed Search
    • Heuristic Search
    • Adversarial Search and Games
    • Constraint Satisfaction Problems
    • Reinforcement Learning
    • Logical Agents
    • AI applications: Natural Language Processing
    • AI Applications and Course Review
  • Module 3: Capstone Project


Course Leaders

Carleton Smith
Carleton Smith
Course Leader, EMERITUS

Carleton Smith is a Data Science educator and practitioner in Chicago, IL. Carleton has taught several data science courses at General...

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James Faghmous
James Faghmous
Course Leader, EMERITUS

James H. Faghmous is a visiting assistant professor at Stanford University where he researches and mentors...

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Jacob Koehler
Jacob Koehler
Course Leader, EMERITUS

Jacob is a mathematics educator, with a PhD in mathematics education from Columbia University. Currently, he teaches...

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David Yakobovitch
David Yakobovitch
Course Leader, EMERITUS

David holds a B.S. in Finance, Information Systems and Statistics from the University of Florida, has served...

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*Course Leaders are subject to change


Industry Leaders

In addition to Course Leaders, industry experts focusing on data science share their knowledge and experience through periodic guest lectures.


Postgraduate Diploma in Machine Learning and Artificial Intelligence Certificate


Upon successful completion of the diploma, participants will receive a verified digital diploma from EMERITUS.

Get Certified

EMERITUS Network Benefits

On successful completion of this diploma, join a community of over 7400 learners on the EMERITUS Network. The EMERITUS Network is your platform to connect to a global network of individuals. Benefits of the EMERITUS Network include:

  • Tuition Assistance
  • Global Network that includes over 400 CEOs, Presidents, Vice Presidents, Directors, Founders and Managing Directors
  • Invitation to Global Events
  • Start-up Corner to help connect, collaborate, raise capital, invest or identify talent
  • Extended Course Access and
  • Access to EMERITUS Groups

To Learn more about the EMERITUS Network benefits visit Click here

Applications close on 17 June 2019.
Early applications encouraged. Seats fill up soon!