COVID-19 STATEMENT: While this virus is impacting everyone differently, this online program is continuing as planned.
Please consider joining our global online classroom for an enriching and interactive experience to further your career.

STARTS ON

10 September 2020

DURATION

9 Months, Online
6-8 hours per week

DIPLOMA FEES

USD 3,000

Payable in 2 equal installments
Non refundable app fee - USD 50

infoSpecial group enrollment pricing

PREREQUISITES: The diploma requires an undergraduate knowledge of statistics (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.), calculus (derivatives), linear algebra (vectors & matrix transformation) and probability (conditional probability/Bayes theorem).


The admission process will involve a short screening test on the above topics to assess participant readiness for the diploma.


Participants are required to possess an intermediate knowledge of Python since all assignments/application projects will be done using the Python programming language. Emeritus offers a complimentary Python for Data Analytics certificate course to meet this prerequisite. Participants who successfully complete this certificate course will receive a certificate of completion from Emeritus Institute of Management.

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.

We are fascinated by their world-changing potential, and we’ve created the Postgraduate Diploma in Machine Learning and Artificial Intelligence, 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

Discussions

Quizzes

Application Assignments

Capstone Project

Live Online
Teaching Sessions

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
DOWNLOAD SYLLABUS

Faculty

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.

Past Participant Profiles

Countries

Countries

 

Work Experience

Work Experience

Industries

Industries

Certificate

Postgraduate Diploma in Machine Learning and Artificial Intelligence Certificate

Certificate

Upon successful completion of the diploma, participants will receive a verified digital diploma from Emeritus Institute of Management.

Get Certified

Applications close on 08 September 2020.
Early applications encouraged. Seats fill up soon!