MAIN LANGUAGES & PLATFORMS THAT YOU WILL LEARN TO BECOME A TOP ML / AI DEVELOPER

Key Program Highlights

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Batch Starts:

Batch - 26th March 2019 (FOR UAE ONLY)

Offered at:

Amity Dubai Campus

Duration:

5 Months

Effort:

8-10 Hours per week

(recommended)

Certification:

Post Gradute certificate in Machine Learning awarded by Amity University

Fees:

$ 2500

Options- One Time Payment, Interest Free EMI Plans

PROGRAM FORMAT:

    Offered at Amity Dubai Campus and Online

UNIQUE FEATURES:

  • 24/7 access to study material & video lectures
  • 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 5-months course of study through:
  • High-quality Recorded video lectures with illustrative presentations
  • Offline sessions with corporate leaders at Amity University Dubai Campus
  • e-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

Faculty

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

NAVEEN BHANSALI

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

DR. SURESH VARADARAJAN

  • 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

Course Curriculum 5 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
  • Interest Free EMI Plans

    • $200 - Payable at the time of Enrolment
    • $400 - Payable by February 2019
    • $400 - Payable by March 2019
    • $750 - Payable by April 2019
    • $750 - Payable by May 2019
  • 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

Certification

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

  • Online Quiz
    • Be responsible for your own learning with optional online 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