Key Program Highlights

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Batch Starts:

Batch 1 - 26th March 2019 (FOR UAE ONLY)

Batch 2 - 25th July 2019 (FOR UAE ONLY)

Offered at:

Amity Dubai Campus


6 Months


8-10 Hours per week



Post Gradute certificate in Machine Learning awarded by Amity University


$ 2500

Options- One Time Payment, Interest Free EMI Plans


    Offered at Amity Dubai Campus


  • 24/7 access to study material
  • Offline sessions with corporate leaders at Amity University Dubai Campus
  • Comprehensive focus on tools and tactics
  • Dedicated Academic Counsellor
  • Real-world Projects & Case Studies
  • Get Alumni Status from Amity University

About Program

  • Machine Learning Landscape in UAE:
    • IBM predicts demand for Data scientists will soar 28 per cent by 2020
    • The PwC Middle East report said AI will contribute $320 billion to the Middle East economy by 2030 - the equivalent to 11 per cent of GDP
    • By 2020 AI and ML will be at least 30 per cent of top five investments globally

Program Structure & Format

Candidates can complete the 6-months course of study through:
  • Offline sessions with corporate leaders at Amity University Dubai Campus
  • learning activities with Case studies discussions & Assignments
  • Instructor-led hands-on sessions to learn popular tools & platforms
Our Campus for Contact Classes
  • Amity Dubai, UAE

Our Dubai campus is more than just a space to learn, it is an innovative, iconic, vibrant, sustainable, and forward-looking global higher education institution, that has been especially designed to attract the best and brightest students and faculty, nurture talent, and promote collaboration, creativity and research.

Contact Sessions at our Campus
Dubai Human Development Award for Amity University Dubai

Amity University Dubai is proud to be the First University to have achieved two prestigious awards from the Government of Dubai : Dubai Human Development Appreciation Award 2018 Cycle (DHDAA) & Dubai Quality Appreciation Award 2018 Cycle (DQAA)


Our team of world-class faculties have years of experience as professional trainers and have worked closely with ML & AI adopters across various sectors. Their industry exposure will help you to understand the everyday nitty-gritty to debut as a successful ML & AI professional.

Ashish Gilotra

  • Program Director
  • 20+ Years of Experience in Machine Learning
  • ME - BITS Pilani - Software Engineering
  • Ex, Head ML & AI (HT Media), VP - AuthBridge


  • Alumni - IIM Bangalore
  • Data Analyst - Dell EMC
  • Ex Engineering - Infosys


  • 26+ Years of Experience
  • PhD, Engineering - Marquette University
  • BE, IISc Bangalore | MTech, IIT Kanpur

Dr. Sakshi Babbar

  • PhD - Data Mining - University of Sydney, Australia
  • Worked on Predicting Water Quality Index of Yamuna River
  • 14 Years experience in Education

Avinash Gaur

  • Machine Learning Engineering
  • Expert in Applied Statistics
  • Ex-HCL

Dr Anish Roychowdhury

  • PhD - IISc Bangalore
  • MS - Louisiana State University
  • Data Science Manager at one of the MNCs

Dr Mohit Kumar Goel

  • PhD - Ecole polytechnique fédérale de Lausanne
  • - Indian institute of Technology, Kharagpur

Course Curriculum 6 Months | 6 Modules

  • Module I – Introduction
    • What is Machine Learning (Definitions - Theoretical, Applied Practice)
    • What is Artificial Intelligence (Definitions - Theoretical, Applied Practice)
    • Machine Learning vs AI
    • Machine Learning vs Deep Learning
    • What makes Machine Learning tick (Algorithms - History, Authors, Purpose or Objective, Learning Style Algorithm, Similarity Style Algorithm, Number of Algorithms, Infographic, Top 10/Most Common ML Algorithms)
    • Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
    • General Steps or Process of Machine Learning (SourceX ->Feature Extraction ->Feature Correlation ->Feature TransformX ->Train Model ->Ensemble ->Evaluate; Data cleaning, data transform/fitting; Overfitting, Underfitting, Variance, Bias)
    • Required Maths (Linear Algebra - In Numpy, Probability, Stats, Calculus)
    • Tool Kit (Python Basics; Python Advance - Numpy, Pandas, Matplotlib; Scikit-learn or sklearn Library)
  • Module II – Supervised Learning
    • Classification (Random Forest, Decision Trees, Logistic Regression, Support Vector Machines, KNN, Naïve Bayes, Usage)
    • Regression (Linear Regression - Regularization Techniques, Polynomial Regression, Usage)
    • Case Study (Classification)
  • Module III – Unsupervised Learning
    • Clustering (K-Means, K Nearest Neighbours, Association Rule Learning)
    • Dimensionality Reduction (PCA, SVD, tSNE)
    • Case Study (Clustering/Anomaly/Fraud Detection)
  • Module IV – Reinforcement Learning
    • Markov Decision
    • Monte Carlo Prediction
    • Case Study (next best offer, dynamic pricing)
  • Module V – Neural Networks, Natural Language Processing, Predictive Analytics, Ensemble Techniques
    • Neural Networks/Deep Learning (CNN, RNN/LSTM/GRU, Transfer Learning, Case Study
    • Natural Language Processing (Text Mining, Generation, Case Study)
    • Predictive Analytics - Forecasting (Logistic, Time Series - ARIMA, Case Study)
    • Ensemble Techniques (Boosting, Bagging)
  • Module VI – Machine Learning Applications Across Industries
    • Machine Learning Applications Across Industries (Healthcare, Retail, Financial Services, Manufacturing, Hospitality)
    • Cloud Based ML offerings
    • Top 10 AI Startups
    • Flashcards (Tips, Tricks, Definitions)

Case Studies

Case 1

Breaking Barriers: Micro-Mortgage Analytics

Case 2

Demand Forecasting for Perishable Short Shelf Life Home Made Food at iD Fresh Food

Case 3

Improving Customer Engagement at VMWare through Analytics

Case 4

Larsen and Toubro: Spare Parts Forecasting

Program Fees

  • One Time Payment

    $ 2500

    • Faster payment with Credit Card, Debit Card, Net Banking
  • Not interested in Contact Sessions ?

    • Can't attend Contact Sessions Explore our PG Diploma Program Click here

Learning Outcomes

By the end of the Post Graduate Program, you will be able to
  • Spearhead Machine Learning models and uncover hidden insights to problems that were once thought impossible
  • Become a leader in the booming market of ML & AI by learning about its breakthroughs achieved and future that it holds
  • Gain solid awareness of the key concepts of AI, ML, Deep Learning, Data Mining & Data Science
  • Make strategically important decisions in your professional domain with ML techniques, models and various algorithms


Earn a Certificate of Post Graduate Program in Machine Learning from Amity University

Add the certificate to your CV and improve your job/business prospects

Evaluation: Assignments & Case Studies

  • Quiz
    • Be responsible for your own learning with optional quizzes at the end of each module.
    • Test your subject understanding and determine your readiness for program completion.
  • Assignments
    • Apply concepts learned in each module with in-depth assignments designed to make you reflect, adapt and apply knowledge to real life scenarios.
  • Case Studies
    • Get hands-on experience with real-life case studies
    • Build a portfolio of demonstrable work by referring to these cases published at Harvard Business Publishing’s case portal
Request a Call Back from our Admission Counsellors to know more