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 April 2019

Offered at:

Amity Campus + Online

Duration:

5 Months

Effort:

8-10 Hours per week

(recommended)

Certification:

Post Gradute certificate in Machine Learning awarded by Amity University

Fees:

Rs. 215000

Options- One Time Payment, Interest Free EMI Plans

PROGRAM FORMAT:

    Offered at Amity Campus and Online

UNIQUE FEATURES:

  • 24/7 access to study material & video lectures
  • Offline sessions with corporate leaders at Amity University 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 India:
    • Ranked #6 in the list of highest-paid jobs in 2018 by Report of Economic Times.
    • According to a study, employers’ demand for AI talents has more than doubled over the past three years and the number of jobs has increased by 119%.
    • Finding and attracting talented ML & AI professionals has become a strategic imperative for every company.
    • As India is heading towards Digital India initiative, the IT industry has an increased demand for workforce equipped with ML & AI skills.
    • Knowledge and experience using cutting-edge ML technologies makes you unleash the next wave of digital disruption.
    • Prepares you for the roles of tomorrow and confidently deploy ML & AI applications at your workplace.

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 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 Bangalore, Kormangala

  • Amity Mumbai, Malad

  • Amity Noida, Sector 125

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

    Rs. 215000

    • Faster payment with Credit Card, Debit Card, Net Banking
  • Cardless EMI Payment

    • Pay Hassle free Zero percent EMI in 12 months.
    • No Credit Card required
  • 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
  • Leverage your innovative ability to develop intelligent ML & AI-based solutions using the required platforms and languages

Certification

Earn a Certificate of Post Graduate Program in Digital Marketing 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
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