Executive Programme in Applied Data Science using Machine Learning & Artificial Intelligence

Programme offered by CEP, IIT Delhi

Home > Programs > Executive Programme in Applied Data Science using Machine Learning & Artificial Intelligence – CEP, IIT Delhi

Duration

6 months

Mode

Live Online

Commencement Date

21st January 2024

Application Closure Date

Closed

Session Timing

10.00 am to 01.00 pm

Programme Overview

In today’s data-driven world, organisations seek individuals proficient in data science, machine learning, and artificial intelligence. The Executive Programme in Applied Data Science with Machine Learning & Artificial Intelligence addresses this demand by equipping executives and professionals with essential skills. Participants acquire a comprehensive understanding of data science principles, machine learning algorithms, and AI techniques, applying them practically in real-world scenarios. This programme accelerates business growth and fosters innovation, empowering professionals to effectively harness the power of these technologies in their respective industries.

Programme Highlights

Programme Details

Eligibility

Graduate/Diploma holder (10+2+3) in the discipline of Science, Engineering, Mathematics or Statistics with a minimum of 1 year of experience.

Screening & Selection

Screening and selection will be done by IIT Delhi.

Attendance

Minimum of 70% attendance is mandatory.

Assessment Criteria

Assessment will be conducted via projects.

Syllabus Breakdown

Overview of Artificial Intelligence and Machine Learning

Data types and Pre-processing

Different Data types
Data cleaning

Data Analysis with Python

Mathematics for AI

Linear Algebra, concept of matrices, Eigen values, Eigen vectors and their properties
Spectral decomposition and Principal component analysis

Advanced Statistics

Concept of Probability, different distributions: Bernoulli, Binomial, Geometric, Hypergeometric, Negative Binomial
Normal, Exponential, Chi-square and their properties: mean variance
Covariance and correlation and some mathematical properties
Concept of Parametric Estimation and Testing of Hypothesis

Regression

Bivariate regression, properties of the regression coefficients
Extension to multivariate regression

Logic and Knowledge Representation

Propositional Logic, First Order Predicate Logic, Well-formed formulas

Project I

Supervised Learning Techniques

Difference between Regression and classification
Data Normalization
Data transformation
Naïve Bayes Classifier
Logistic regression
Decision trees ID3, C5, SLIQ
PCA, Feature Selection
Applications
Practice with Scikit learn and Keras

Advanced Classification Techniques

Random forest
Neural Networks Perceptron model, Multi layered feedforward Neural Network
Activation functions
Applications
Practice with Scikit learn and Keras
Applications of clustering

Unsupervised Learning – Clustering

Clustering
What is clustering?
Difference between classification and clustering
Clustering techniques
Practice with Scikit learn and Keras

Project II

Deep Learning with Tensorflow and Keras

DNN, LSTM, CNN
Practice with Keras and Tensorflow

Natural Language Processing

Machine Translation
Text Summarization
Concept of Word Vectors

Optimization techniques

Linear programming
Integer programming
Convex optimization

Reinforcement Learning

Campus Immersion Module

Recommender System
- Classic and recent approaches for different recommender systems
- Product recommendation, Movie recommendation

Chat GPT + LLM + Generative AI
Conversational Systems + Applications of AI/ML and Future Scope + Discussion
- Stock Market Prediction
- Credit Card Fraud Detection
- Crime Analytics
- Goods and Services Tax
- Bioinformatics

Case Studies

Projects

Panel Discussions

Guest Lectures

This is an indicative list of course topics and is subject to change as per IIT Delhi’s discretion.

Explore Libraries of Tools and Techniques Taught

Tools & Languages

Note: This is an indicative list of tools and techniques taught in the programme and is subject to change as per IIT Delhi’s discretion.

About IIT Delhi

The Indian Institute of Technology Delhi (IIT Delhi) is one of the 5 initial IITs established for training, research and development in science, engineering and technology in India. Established as College of Engineering in 1961, the Institute was later declared as an Institution of National Importance under the “Institutes of Technology (Amendment) Act, 1963” and was renamed as “Indian Institute of Technology Delhi”. It was then accorded the status of a Deemed University with powers to decide its own academic policy, to conduct its own examinations, and to award its own degrees.

Since its inception, over 48000 students have graduated from IIT Delhi in various disciplines, including Engineering, Physical Sciences, Management, Humanities and Social Sciences. Of these, nearly 5070 received PhD degrees. The rest obtained a Master’s Degree in Engineering, Sciences and Business Administration. These alumni today work as scientists, technologists, business managers and entrepreneurs. There are several alumni who have moved away from their original disciplines and have taken to administrative services, active politics, or are with NGOs. In doing so, they have significantly contributed to the building of this nation and to industrialization around the world.

2^nd
Rank as per NIRF India
Engineering Rankings (2023)

3^rd
as per ARIIA Ranking
(2021)

About Continuing Education Programme (CEP)

Executive education is a vital need for companies to build a culture that promotes newer technologies and solutions and builds a workforce that stays abreast of the rapidly transforming needs to the technological, business and regulatory landscape. Committed to the cause of making quality education accessible to all, IIT Delhi has launched Online Certificate Programmes under eVIDYA@IITD (ई-विद्या@IITD): enabling Virtual & Interactive-learning for Driving Youth Advancement@IITD for Indian as well as international participants. These outreach programmes offered by the Indian Institute of Technology Delhi (IIT Delhi) are designed to cater to the training and development needs of various organisations, industries, society and individual participants at national and international level with a vision to empower thousands of young learners by imparting high-quality Online Certificate Programmes in cutting-edge areas for their career advancement in different domains of engineering, technology, science, humanities and management.

Know The Facilitators

PROGRAMME COORDINATOR

PROGRAMME FACULTY

Programme Certification

Participants who meet the evaluation criteria, which includes successfully completing the projects conducted by the faculty, and fulfill the necessary attendance criteria, specifically a minimum requirement of 70%, will receive a ‘Certification of Completion.’
Participants who do not meet the evaluation criteria but meet the attendance requirements will be presented with a ‘Participation Certificate.’

The above e-certificate is for illustrative purposes only and the format of the certificate may be changed at the discretion of IIT Delhi.
Only e-certificate will be provided and it will be issued by CEP, IIT Delhi.
The organising department of this programme is the Department of Mathematics, IIT Delhi.

Co-ordinators

Prof. Harpal Singh

Prof. Neetu Singh

Programme Fee Details

Programme Fee

Installment Pattern

Programme Fee

Fee Structure

Total Programme Fee

INR 1,30,000/- + 18% GST

View Plans

Installment Pattern

Instalment 1

INR 80,000/- + 18% GST

7 days from the release of the offer letter

Instalment 2

INR 50,000/- + 18% GST

On or before December 2023

Easy EMI Options Available

Payment of fees should be submitted in the IIT Delhi CEP account only and the receipt will be issued by the IIT Delhi CEP account for your records.
Loan Options is a service offered by Jaro Education. IIT Delhi is not responsible for the same.

Admission Process

Talk to our Expert

Career Transitions

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The Jaro Advantage

Learning Support

Doubt Resolution

Networking

Learning Support

Unparalleled career guidance and support
Dedicated student support
Immersive and lifelong learning experiences

Doubt Resolution

Learn from the best-suited academic, faculty, and industry mentors
Be a part of discussions and forums for enhanced learning
Leverage peer-to-peer learning experience

Networking

Alumni Network of 3,50,000+ Professionals
Access to alumni events & other benefits
Stay up to date with the latest insights from your alma mater

Jaro Expedite - Career Booster

Profile Building

Rigorously building the candidate’s profiles and resume scrutinizing their LinkedIn profiles. Jaro Education enables personalised feedback to boost overall virtual presence.

Resume Review

Moving forward with carefully curated resume reviews that ensures you are interview-ready for the workplace of tomorrow.

Placement Assistance

Get career assistance as per the profile and preferences. On average, get 5-6 job recommendations to enhance quality employment opportunities.

Career Enhancement Sessions

Bridging connectivity to link the best talent with organizations through eminent sessions from top-class industry speakers.

Note: IIM Trichy or Jaro Education do not guarantee or promise you a job or advancement in your existing position. Career Services is simply provided as a service to help you manage your career in a proactive manner. Jaro Education provides the Career Services described here. IIM Trichy is not involved in any way with the Career Services described above and offer no commitments.

Build 21st-Century Skill set to Gain Career Edge in the VUCA World

Learn from the best minds and eminent faculty to become the next industry expert.

By clicking Start Application, you agree to our terms and conditions and our privacy policy.

You’ll learn

Data Science Concepts: Exploration, Preprocessing, Engineering, Model Evaluation
Applied Machine Learning Skills: Regression, Classification, Clustering, Reinforcement learning and Deep learning
AI Techniques Mastery: Develop Intelligent Systems for Different Applications
Ability to Design and Implement End-to-End Data Science Projects Expertise: Preprocessing, Model Building and Deployment

Frequently Asked Questions

Who is this programme suitable for?

The programme is designed for executives, professionals, and working individuals from various industries who are interested in enhancing their data science, machine learning, and AI skills. It caters to both technical and non-technical backgrounds.

What are the prerequisites for enrolling in the programme?

There are no specific prerequisites, but a basic understanding of mathematics, statistics, and programming concepts would be beneficial. However, the programme covers essential concepts from scratch, making it accessible to learners with different backgrounds.

How long is the programme duration?

This interdisciplinary programme has a duration of 6 months and is designed to accommodate the busy schedules of working professionals.

Are there any hands-on projects or assignments in the programme?

Yes, the programme emphasises practical learning through hands-on projects, case studies, and assignments. Participants will have the opportunity to apply their knowledge to real-world datasets and gain valuable industry-relevant experience.

Will I receive a certification upon completion of the programme?

Yes, upon successfully completing the programme, participants will receive a certification from CEP, IIT Delhi.

Are there any networking opportunities provided during the programme?

The programme often includes guest lectures, panel discussions, case studies, and projects, allowing participants to connect with fellow professionals and build valuable industry contacts.

Programme Counsellor

Program Manager

Zuhaib Shaikh

Talk to our career expert: 9892752464

Executive Programme in Applied Data Science using Machine Learning & Artificial Intelligence

Programme offered by CEP, IIT Delhi

Certificate of Successful Completion from CEP, IIT Delhi

Live classes & mentorship by highly experienced faculty members from IIT Delhi

Flexibility in learning: online classes on weekends or after business hours

2 days intensive campus immersion modules

Peer-to-peer learning and mentoring from industry experts

Rigorous Pedagogy — case discussions, simulations, etc.

Overview of Artificial Intelligence and Machine Learning

Data Analysis with Python

Project I

Project II

Reinforcement Learning

Tools & Languages

Easy EMI Options Available

Profile Building

Resume Review

Placement Assistance

Career Enhancement Sessions

Build 21st-Century Skill set to Gain Career Edge in the VUCA World

You’ll learn

Program Manager

Zuhaib Shaikh

Program Counsellor Number

7506505142

8976944553

Priya Rathod – 8976944553

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