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

Key Program Highlights

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Batch Starts:

Batch 1 - 25th June 2019

Duration:

6 Months

Effort:

7-10 Hours per week

(recommended)

Certification:

Post Graduate Certificate in Machine Learning awarded by Amity University

Fees:

Rs. 75000/- (All-Inclusive)

Options Available - One Time Payment, Cardless EMI Payment

Program Format:

Online + Optional Campus Sessions

UNIQUE FEATURES:

  • 1-1 Mentoring
  • Industry-driven comprehensive curriculum
  • 24/7 access to study material & video lectures
  • Live interactions with Machine Learning experts and Corporate leaders
  • Real-world Projects & Case Studies
  • Capstone ML Project
  • Career guidance and support
  • Get Alumni Status from Amity University

About Us

    • Asia’s No. 1 online education platform
    • Ruling in the area of online education for more than two decades
    • Only internationally accredited online university with over 200,000 international students across 135 countries
    • Most preferred online degree by employers and recruiters across the globe

Program Overview

  • Why Study Machine Learning for Managers?
    • 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.
  • How will PGP-ML for Managers will help you?
    • You learn from robust pool of faculty who have worked extensively in projects across Facebook, Google, HP, HT Media, AuthBridge, DRDO, Dell EMC, IHS Markit.
    • You master essential concepts and exceptional skills to train intelligent machines and AI systems effectively.
    • You develop competitive intelligence and industry-driven expertise of utilizing and applying ML techniques and AI systems.
    • You gain a well-rounded foundation and deeper understanding to create solutions for the problems posed by ML & AI.
    • You acquire the required technical skills to develop a verified portfolio of industry projects.
    • You attain practical mastery over a wide range of ML applications in healthcare, retail, financial services and manufacturing industries.

Program Structure & Format

Course Objective

This course serves as an introduction to the Machine Learning principles required to tackle real-world problems in businesses.

  • Focus on Machine Learning skills required to grow and excel career in one of the fastest growing domains across the globe
  • Students of the Executive Program will think independently, analytically through the process of research and inquiry while making effective decisions in global environment.
  • Students of the Executive program will learn data manipulation and cleaning techniques using the popular machine learning techniques and popular libraries as the central data structure for data analysis.
  • Students of the Executive Program will be prepared for continued learning throughout their career and represent themselves in various professional bodies
Candidates can complete the 6-months course of study through:
  • Recorded video lectures and other study material from faculty with real-world expertise
  • Optional contact sessions at Amity Campuses with industry mentors and experts to solve queries and doubts
  • Online coursework that includes case studies, mini-projects and assignments
  • Capstone ML&AI Project to work on practical cases
  • Instructor-led practice sessions to learn popular platforms & languages and work on 4 projects during the program
Our Campuses for Contact Classes
  • Amity Bangalore, Kormangala

  • Amity Chennai, Gopalapuram

  • Amity Hyderabad, Punjagutta

  • Amity Mumbai, Malad & Kurla

  • Amity Pune, Senapati Bapat Road

  • Amity Noida, Sector 125

  • Amity Dubai, UAE

  • Amity Singapore, 3 Kay Siang Road

If the contact classes are not available in your city, don’t worry. You will be provided access to the recorded lectures of contact sessions of another nearby city.

Eligibility & Selection

  • For whom
    • For professionals from technical / non - Technical background
    • Professionals who want to learn Machine Learning concepts without Programming
    • Professionals whose interest is in theoretical/consulting aspect of Machine Learning
    • Graduates or Middle Level Managers from various backgrounds looking to build/switch a career in AI and Machine Learning
    • Students who wish to learn AI and Machine Learning
    • Experienced professionals who would like to harness artificial intelligence and machine learning in their fields to drive business growth
  • Eligibility
    • Admission to the Postgraduate certificate programs requires a Bachelor's degree or an equivalent qualification in any discipline recognized by the Association of Indian Universities (AIU).
    • Candidates appearing for final examinations towards a Bachelor's degree (or equivalent) are also eligible to apply.
    • Candidates fulfilling any of the above criteria and who demonstrate an aptitude for expressing, assessing, and /or conceiving ideas that move people to action and achieve business results tend to stand a better chance of being shortlisted.

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

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
  • B.tech - Indian institute of Technology, Kharagpur

Course Curriculum 6 Months | 5 Modules

  • Module I – Introduction to Machine Learning
    • What is Machine Learning (ML)?
    • Overview of Machine learning & its application.
    • History & Evolution of ML
    • Introduction to Deep Learning
    • Introduction to Artificial Intelligence
    • Difference between Machine Learning v/s AI / Deep Learning
    • Algorithms in Machine Learning
      1. Creator and its Objective
      2. Functionality
      3. Similarity & Difference between various top common algorithms
      4. Infographic & Dimensionality
    • Types of Machine Learning
      1. Supervised
      2. Unsupervised
      3. Reinforcement
    • Statistics & Maths concept used in ML
    • Defining terms - records, features, outcomes
    • "Wider" and "longer" data sets
    • Parametric, semi-parametric, and non-parametric methods
    • Types of variables
    • Random variables and probability distributions
    • Independent, and identically distributed random variables
    • Training, validation, and test data-sets
    • Cross-validation
    • Training and test errors
    • Different types of sampling schemes
    • Random, and pseudo-random number generators
    • Over-sampling and under-sampling
      1. ML process
      2. Data Preparation
  • Module II – Supervised Machine Learning Algorithms
    • Linear Regression
    • Correlation and Regression
    • Multiple Linear Regression
    • Odds vs Probability
    • Logistic Regression
    • Hypothesis Testing Data and data distribution
    • Data Pre-processing
    • Data Visualisation
    • Data Transformation & Reduction
    • Feature Extraction
    • Classification and Regression
    • Multivariate Analysis
    • Underfitting and Over-fitting
    • Evaluation Methods
      1. Hold-out Method
      2. Cross-validation
      3. Bootstrapping Method
    • Introduction to Classification
    • Case study (Classification)
    • K-Nearest Neighbour
    • Naïve Bayes
    • Decision Trees
    • Support Vector Machines
    • Random Forest Technique
    • Quizzes and Assignments for each topic
  • Module III – Unsupervised Machine Learning Algorithms
    • Introduction to Unsupervised Machine Learning
    • Introduction to Clustering
    • Concepts of Clustering
      1. Hierarchical
      2. K-Means
      3. DBSCAN
      4. KNN
      5. Association Rule Learning
        1. Apriori Algorithm
        2. FP-Growth Algorithm
      6. Case Study (Clustering)
    • Dimensionality Reduction
      1. Principal Component Analysis
      2. Singular-value Decomposition (Svd)
      3. t-distributed Stochastic Neighbor Embedding(tSNE)
    • Anomaly detection
      1. Density Based
      2. Clustering Based
    • Case Study (Anomaly/Fraud Detection)
    • Quizzes and Assignments for each topic
  • Module IV – Reinforcement and Deep Learning Techniques
    • Markov Decision
    • Monte Carlo Prediction
    • Case-study on dynamic pricing
    • Case Study on next best offer
    • Introduction to Deep Learning
      1. Artificial Neural Networks
      2. Deep Learning applications
    • Hand-on for each topic
    • Quizzes and Assignments for each topic
  • Module V – Use Cases and Project Deployment/Implementation
    • Machine Learning Applications in:
      1. Healthcare
      2. Retail
      3. Financial Services
      4. Cloud-Based ML services
      5. Technology Ecosystem
        1. AI Technologies
        2. AI Platforms
      6. Robotic Process Automation (RPA)
        1. Chatbots
      7. Societal impacts of AI
        1. Ethics of AI
        2. Automation and Jobs

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

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Application Process

  • 1. Fill up the Application Form

  • 2. Screening call from Admission Director's Office basis on Profile

  • 3. Final Application to be shared with Admission Committee for final selection

Program Fees

Rs. 75000 /- (All-Inclusive)

  • One Time Payment

    Rs. 75000/-
    (All-Inclusive)

    • No Interest EMI Option
    • 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

Learning Outcomes

By the end of the PGP-ML Program for Managers, learners will be able to
  • Understand the unique opportunities ML creates, and its limitations.
  • Learn how to use the ML Canvas to frame ML problems, design real-world ML systems, and set up your own ML projects.
  • Gain a practical understanding of the steps in a typical ML workflow. Learn about the various components of an ML platform.
  • Design domain-specific evaluation procedures and performance metrics. Understand how a poor evaluation procedure can wildly overestimate performance in production.

Certification

Students will receive an Executive certificate in Machine Learning from Amity University-Noida after successful course completion.

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

Case Studies & Assignments

  • Case Studies
    • Get hands-on experience with real-life case studies published by IIM, Bangalore
    • Build a portfolio of demonstrable work by referring to these cases published at Harvard Business Publishing’s case portal
  • Assignments
    • Uncover opportunities to think and learn about ideas & topics and ask questions
    • Submit assignments at the end of each module and know how to apply the concepts to new problems, master the basics and develop intelligent applications
    • Assess your progress with grade/score of each assignment that contributes to the overall grade

Projects & Quizzes

  • Capstone Project
    • Capstone Project - the main highlight of PGP-ML for Managers
    • Get an opportunity to solidify the concepts and apply tools & languages learnt in the program on real-world machine learning problems
    • Have access to continuous guidance from a Project Mentor to execute the project
    • Submit a detailed report along with a recorded presentation to achieve success in the project
  • Online Quiz
    • Be responsible for your learning with optional online quizzes at the end of each module
    • Test your subject understanding and improve your programming skills

Evaluation

Class performance will be based on following components:

  • ML & AI projects across various domains
  • Capstone Project
  • Module-based Assignments
  • Quizzes

Faculty members may choose a few or all above stated components.

Career Paths

ML Developer

As a ML Developer, you will be able to:

  • Possess better skills to pre-process data
  • Understand features of data
  • Try multiple algorithms
  • Develop machine learning pipeline
  • Produce and implement accurate models
  • Develop predictions from real-life data
ML & AI Consultant

As a ML & AI Consultant, you will be able to:

  • Spot the areas of application of ML within the organization
  • Develop business insights
  • Forecast models that use most suited ML algorithms
  • Assist business processes
  • Uncover data-driven approaches to help arrive at business strategy

Career Assistance

  • Enhance your career aspirations with assistance from our recruitment partners, Virtual Job Fair and existing Corporate and Alumni network.
  • On successful completion of the program, equip yourself with sophisticated expertise to apply for jobs in the roles of Machine Learning Developer, Deep Learning Engineer, Data Mining Engineer and AI & Machine Learning Consultant in industries like IT, Retail, Healthcare, Telecom, Insurance, Hospitality and FMCG.
  • Get connected with our Career Counsellor towards the end of the program to be interview-ready as per the current industry requirements.

Frequently Asked Questions

Request a Call Back from our Admission Counsellors to know more