What are the objectives of IIMT Pravartak’s programme?

This interdisciplinary executive certification programme is designed to: Build a strong theoretical foundation in Artificial Intelligence, Deep Learning, and data analysis, enabling participants to understand and engage with complex AI models and algorithms. Deliver hands-on proficiency in both the mathematical frameworks and computational tools underpinning modern Deep Learning techniques. Foster contextual application through industry-relevant case studies drawn from diverse verticals, empowering professionals to translate knowledge into practical, domain-specific solutions.

How many case studies are included in the programme, and what are they about?

The programme includes multiple case studies designed to bridge theory with real-world application. These case studies span various AI and GenAI techniques and are subject to refinement based on the latest industry trends. Example case studies include: Predicting House Prices – Regression modeling Customer Churn Prediction – Classification techniques Handwritten Digit Recognition – Introduction to CNNs Fashion Product Image Classification – Advanced CNN architectures Movie Review Sentiment Analysis – Basics of RNNs and LSTMs Stock Price Forecasting – Time Series prediction using RNNs/LSTMs Synthetic Digit Generation – Introduction to GANs Text Summarization – Using Transformers Contextual Question Answering – Transformers and GPT pipeline Text-to-Image Generation – Exploratory work with Diffusion Models and Transformers

What tools and platforms will be used in the course?

Participants will get exposure to: Google Drive, Colab, and AI Studio Python and key libraries: NumPy, Pandas, Matplotlib Machine Learning & DL frameworks: PyTorch, scikit-learn, TensorFlow

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.

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Executive Certification in Advanced Data Science & Gen AI for Managers

IITM Pravartak Technology innovation hub of IIT Madras

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Batch
03
Course Duration
10 Months
Mode
Hybrid
Commencement Date
12th October 2025
Application Closure Date
Closed
Session Timing
Sunday, 1:00 pm to 4:00 pm

Admission Criteria

Eligibility Criteria

Qualification: Graduate/4-year Engineering Degree/B.Sc/M.Sc. from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities)
Minimum Experience: 3 years, preferably in software engineering and/or other disciplines involving computational work. Comfort with basic mathematics is expected.
Preferred Industry Background: IT, Software, Engineering Research, Business Analytics, Finance, etc.

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 Organizations.

Pedagogical Methodology

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Online Live Sessions

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Assignment

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Real life Case Studies

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100 Hours of Learning

Learning Outcomes

Achieve proficiency in understanding and utilization of the models behind applications like ChatGPT

Attain proficiency in Python and its pivotal libraries, including numpy, pandas, and matplotlib, to solidify your technical toolkit

Secure foundational knowledge in leading Machine Learning frameworks such as sci-kit learn, Pytorch, and TensorFlow.

Cultivate an understanding of the latest paradigms shaping the Artificial Intelligence and Deep Learning landscapes

Engineer and execute deep neural networks tailored for robust regression analyses, enhancing predictive accuracy

Forge advanced models specialized in Image Processing and Computer Vision, pushing the boundaries of visual computing

Hone predictive acumen through sophisticated time series analysis methods, sharpening your foresight in data trends

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Note: IITM Pravartak Technology Innovation Hub of IIT Madras and Jaro Education do not guarantee or promise employment or career advancement in your existing position. Career services are offered solely as a resource to help you proactively manage your career. These services are provided by Jaro Education. IITM Pravartak Technology Innovation Hub of IIT Madras is not involved in any way with the career services described above and makes no commitments regarding their outcomes.

Admission Process

1
Eligibility of Applicant
2
Application Submission
3
Screening & Shortlisting
4
Admission & Fee Payment
5
Book your Seat

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