Executive Certification in Advanced Data Science & Applications

IITM Pravartak
Technology innovation hub of IIT Madras

Batch
02
Course Duration
10 Months
Mode
Hybrid (Online)
Commencement Date
28th April 2024
Application Closure Date
Closed
Session Timings
Sunday, 1:00 pm to 4:00 pm

Programme Overview

Data science techniques and associated methods in artificial intelligence and machine learning have now been at the forefront of the revolution in various traditional fields. Consequently, an increasing number of professionals in scientific computing, software engineering and development. Businesses are looking to increase their understanding of the fundamental techniques and ideas driving this field. The current programme aims to empower professionals to move to the forefront of this revolution with the objective to:
  • Provide a thorough introduction to the various methods in the field of Artificial Intelligence, Deep Learning, Data Analytics, and its mathematical foundations
  • Provide strong hands on experience in both the mathematical and computational aspects of Deep Learning
  • Case studies through applications of the techniques to realistic data from various business verticals
Amplify your skills using Data science, AI & ML fundamental techniques to navigate growth trajectories. Learn about the essential methods and concepts that drive ideas in growing fields like scientific computing, software engineering, development, etc. IITM Pravartak’s Executive Certification in Advanced Data Science & Applications aims to give you contextual know-how using case studies from various business verticals. This interdisciplinary programme has intensive self-study applications using varied techniques to real-life data from multiple business verticals. The curriculum strives to empower professionals with the fundamental methods and tools they need to move at the forefront of the AI revolution.

Programme Highlights

certificate

Highly recognised Certificate of Completion from IITM Pravartak

virtual-classroom

2 days of campus immersion

Industry specified case studies

online-assessment

Peer-to-peer learning and mentoring from industry experts

degree-program

The live programme is entirely taught by IIT Madras faculty

campus

Pedagogy filled with case studies, industry projects & practical application

Admission Criteria

Selections will be based on a detailed Profile of the Candidate in his own words elaborating his Academic record, Profile, Designation, Salary, Roles, Responsibilities, Job Description, and a write-up on ”Expectations from the Programme”.

Eligibility & Selection

  • Qualification: Graduate/4-year Engineering Degree/B.Sc+M.Sc from a recognised university (UGC/AICTE/DEC/AIU/State Government/recognised international universities).
  • Minimum Experience: 3 years preferably in software engineering and/or other disciplines involved in computational work.
  • Must be comfortable with basic mathematics.

Syllabus Breakdown

Overview of the Course

  • Overview of AI and ML
  • The Mathematics required for AI and ML

Linear Algebra for AI

  • Linear equations and solutions
  • Vectors, Matrices and their Properties
  • Inner Products and Norms
  • Projections
  • Eigenvalues and Eigenvectors
  • Singular Value Decomposition

Probability and Statistics for AI

  • Probability theory and axioms
  • Random variables
  • Probability distributions and density functions
  • Expectations and moments
  • Covariance and correlation
  • Hypothesis testing
  • MLE, MAP and Bayesian methods

Optimization for Data Science

  • Multivariable Calculus
  • Unconstrained optimization
  • Introduction to least squares optimization
  • Gradient based methods
Introduction to Python Programming
  • Overview Python
  • Setting up Python environment
Basics of Python
  • Variables, Data Types
  • Control flow (if-else statements, loops)
  • Functions and Modules
Data Structures in Python
  • List, Tuples
  • Dictionaries, Sets
  • Classes, Objects and Methods
Scientific computation with Python and its Libraries
  • NumPy
  • Pandas
  • Scikit-learn library for ML
  • Matplotlib for plotting and visualizations
Python for Deep Learning
  • PyTorch
  • TensorFlow and Keras
  • Foundations of Machine Learning – The Machine Learning Paradigm
  • Linear and Polynomial Regression
  • K-Nearest Neighbors
  • Linear Classification – Logistic Regression
  • Bias Variance tradeoff,Regularization
  • Evaluation methods
  • Recap of Linear and Logistic Regression
  • Multiclass Classification
  • Artificial Neural Networks
    • Artificial Neuron
    • Multilayer Perceptron
    • Universal Approximation Theorem
    • Backpropagation in MLPs
    • Backprop on general graphs
  • Optimization in Neural Networks
    • Gradient Descent and its Variants
    • Momentum, Adam, etc.
    • Batch Normalization and other techniques in modern Deep Learning
  • Basics of Hyper parameter optimization
  • Convolutional Neural Networks (CNN)
    • Introduction
    • CNN Operations
    • CNN Training
    • Image Recognition-SoTA model(s)
    • Object detection/localization - SoTA model(s)
    • Semantic segmentation - SoTA model(s)
  • Sequence Analysis Models
    • Recurrent Neural Networks (RNNs)
    • Long Short Term Memory Networks (LSTMs)
  • Introduction to Generative Models and their role in Modern AI
  • Generative Adversarial Networks (GANs)
  • Diffusion Models for image generation
  • Transformer Architectures
  • Large Language Models (such as ChatGPT)
    • Encoder only models
    • Decoder only models
  • Applications of existing Generative AI models
    • Leveraging tools such as ChatGPT in your context
  • Future Trends in Generative AI
Live and Interactive Lectures

Online Live Sessions

online-learning

120 hrs of interactive learning

Assignment

Real life Case Studies

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About IITM Pravartak

IITM Pravartak Technologies Foundation is a section 08 Company housing the Technology Innovation Hub on Sensors, Networking, Actuators, and Control Systems (SNACS). IITM Pravartak is funded by the Department of Science and Technology, Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems and hosted as a Technology Innovation Hub (TIH) by IIT Madras. The IITM Pravartak Technology Innovation Hub aims to focus on new knowledge in the SNACS area through extensive and application-oriented research. IITM-PTF gladly takes the role of preparing young India for the next generation of world-class technologies. The NM-ICPS is a comprehensive Mission aimed at complete convergence with all stakeholders by establishing strong linkages between academia, industry, Government, and International Organisations.

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Programme Certification

Participants who successfully meet the evaluation criteria and satisfy the requisite attendance criteria will be awarded a ‘Certification of Completion’ – Executive Certification in Advanced Data Science & Applications”.

Note:
  • Pass Criterion – 50% in the final exam and 50% in all homework.
  • Bronze Certification – 60% or more in homework + final exam.
  • Silver Certification – 70% or more in homework + final exam.
  • Gold Certification – 80% or more in homework + final exam.
The sample certificate is indicative. The Institute reserves the right to revise it.
IIT Pravartak Certificate_Jaro_Batch 2IIT Pravartak Certificate_Jaro_Batch 2

Programme Fee Details

Programme fee
Fee Structure
Application Fee
INR 2,360/-
Total Programme Fee
INR 1,80,000/- + GST
Easy EMI options available
Instalment Pattern
Instalment Pattern
Instalment 1

INR 80,000/- + GST

Instalment 2

INR 50,000/- + GST

Instalment 3

INR 50,000/- + GST

  • Note: *All the amounts mentioned above are exclusive of GST.

Admission Process

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Frequently Asked Questions
What’s the total fee for Executive Certification in Advanced Data Science & Applications by IIMT Pravartak?

 The total programme fee is INR 1,80,000/- + GST.

Describe the projected career growth after this programme.
  • The applicant will be able to use the methods taught in this case to interface with other teams and incorporate them into his or her business case. Additionally, it will assist candidates in transitioning into careers in machine learning and data analytics. 
  • Middle-level executives can benefit by understanding the strength and limitations of these methods in their business case.
What are the objectives of IIMT Pravartak Executive Certification in Advanced Data Science & Applications?
  • The core objectives of this interdisciplinary programme is to:
    • Give a thorough introduction to the myriad of methods in Artificial Intelligence, Deep Learning, Data Analytics, as well as their mathematical foundations.
    • Hands on experience in both the mathematical and computational aspects of Deep Learning.
    • Case studies through applications of the techniques to realistic data from various business verticals.
What kind of tools are taught in this programme?
  • Acquire exposure to new age tools and techniques such as:
    • AL
    • ML
    • Python
    • Pytorch
    • TensorFlow
Specify the assessment methodology for the programme?
  • Assessment is based on weekly homework and exams at regular intervals.
    • Final Certifying examination with grades ranging from A to F, with A as highest grade F indicating Failure.
    • 50% weightage to homework/case studies and 50% to the final exam.
    • Attendance: 70% attendance is mandatory.

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