IIT Jodhpur campusIIT Jodhpur campus

PG Diploma and
Executive M.Tech.*
in Artificial Intelligence

An industry-aligned programme combining Artificial Intelligence, Machine Learning, Generative AI and Autonomous Systems.

STARTS
January, 2027 (Tentative)
12 Months
Regular IIT Alumni Status
Weekends, Online
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*Progression to the Executive M.Tech., delivered in executive mode, is conditional and subject to IIT Jodhpur approval, eligibility and academic performance. Alumni Status is subject to IIT Jodhpur's conditions.

AI Is Moving Beyond Experimentation.

The Next Step Is Putting It to Work.

BFSI, healthcare, retail and manufacturing are increasingly adopting AI. They need engineers who can turn AI concepts into real-world applications.

IIT Jodhpur’s PG Diploma and Executive M.Tech. in Artificial Intelligence combines academic rigour with applied learning to help you build for this shift.

Prof. Avinash Kumar Agarwal, Director, IIT Jodhpur
DIRECTOR

"Our vision is to equip learners pursuing the PG Diploma and Executive M.Tech. in Artificial Intelligence with the necessary modern skills and competencies to participate in a rapidly transforming technological knowledge ecosystem."

Prof. Avinash Kumar Agarwal
Director, IIT Jodhpur
Prof. Avinash Kumar Agarwal, Director, IIT Jodhpur
PROGRAMME DIRECTOR

Prof. Tiwari holds a B.E. from Nagpur University and an M.Tech. and Ph.D. from IIT Kharagpur, specializing in image processing, video coding, and signal processing. His research spans watermarking techniques and low-cost healthcare monitoring devices, bridging signal processing with real-world applications. At IIT Jodhpur, he guides AI learners in developing strong foundations and practical engineering skills to build robust, real-world AI systems.

Prof. Anil Kumar Tiwari
Professor, Department of Electrical Engineering, IIT Jodhpur
Prof. Avinash Kumar Agarwal, Director, IIT Jodhpur
ABOUT IIT JODHPUR

One of India's premier engineering and technology institutions, IIT Jodhpur builds engineers who solve real-world problems through innovation and research, and has rapidly emerged as a leader in advanced computing, AI research, and data systems.

IIT Jodhpur
Indian Institute of Technology, Rajasthan

Built to Be Practical

IIT Jodhpur campus
IIT Jodhpur learners on campus
IIT Jodhpur campus
IIT Jodhpur campus
01
Live online classes taught by IIT Jodhpur faculty.
02
A curriculum spanning AI, machine learning, deep learning, Generative AI and autonomous systems.
03
In our past cohorts, 7 in 10 learners have advanced to the Executive M.Tech. pathway at IIT Jodhpur.
04
Applied AI projects and a capstone designed, deployed and presented for faculty review.
05
A mandatory 5–7 day campus immersion at IIT Jodhpur.
06
Regular IIT Alumni Status

The AI Opportunity Is Growing.
Can You Build for What Comes Next?

Develop the technical depth to move from understanding AI to building, deploying and working with intelligent systems.

AI Solutions Architect
Agentic AI / LLM Engineer
AI/ML Engineer
Market size | India
₹5.13 Lakh Crore

India’s AI market is projected to grow from ₹81,600 crore in 2024 to ₹5.13 lakh crore by 2035, at a projected CAGR of 18.2% (2025–2035).

Map of India
Indicative salary | India
₹
₹7 LPA to
₹90 LPA
₹0
₹7L
₹90L

Across selected AI, ML, GenAI and AI engineering roles.

*Source: Market Research Future; figures are projections. *Salary figures are indicative annual market ranges provided in the programme brochure, not programme outcomes. Futurense does not guarantee placement or salary.

Who Is This For?

Designed for software, data, and analytics professionals looking to deepen their AI expertise, from machine learning and deep learning to Generative AI and intelligent systems, and apply it to real-world problems.

STEM degree
50%+ in UG or PG
1+ year of work experience
Pre-screening test
You come in as
A software or backend engineer
You leave with
The ability to build AI-powered applications using machine learning, deep learning, and GenAI.
You come in as
A data analyst or BI professional
You leave with
The skills to move from analysing data to building predictive models and AI-driven solutions.
You come in as
A data scientist or ML engineer
You leave with
The expertise to develop, optimise, and deploy AI models for real-world applications.
Planning for the Executive M.Tech.?

70% of learners from previous cohorts have progressed to the Executive M.Tech. pathway at IIT Jodhpur.

Progression is not automatic. PG Diploma graduates must meet the prescribed requirements, including minimum attendance of 75%, a CGPA of 6.0 or above, at least 60% aggregate marks across assessments, and the Programme Director's recommendation based on academic performance and professional conduct. Progression is subject to IIT Jodhpur's approval.

Curriculum

A 12-month PG Diploma, with a pathway to an Executive M.Tech. in one additional year.

Machine Learning
Artificial Intelligence
Optimization for Data Science
Advanced Data Structures and Algorithms
MLOps
Deep Learning
DLOps
Program Elective 1
Intellectual Property
Technical Communication
Advanced Artificial Intelligence / Autonomous Systems
Program Elective 2
Program Elective 3
Ethics and Professional Life
Foundations of Computer Vision and NLP
Innovation and IP Management
GPU Programming
Digital Image Analysis
Data Analytics
Foundation Models and Generative AI
Natural Language Understanding
Show all 21 modules

Exam mode: The major examinations shall be conducted in offline mode (subject to the logistical arrangements and discretion of the Institute).

*Credits may vary based on the electives chosen. IIT Jodhpur sets the class schedule, which depends on faculty availability.

Two Stages, One Path

30
credits
CGPA 6.0+
34
credits
Stage 1 | PG Diploma
12 months, 30 credits.

Build your foundation and applied skills across all four pillars, and earn a PG Diploma from IIT Jodhpur.

CGPA 6.0+
Stage 2 | Executive M.Tech.*
1 more year, 34 credits, no GATE exam.

Eligible PG Diploma graduates can transfer their credits and complete an Executive M.Tech. from IIT Jodhpur in one more year, without taking the GATE exam. Progression depends on your eligibility, academic performance, and the Program Director's recommendation.

Read more
64 credits in total

*The two-stage pathway is conditional. The Executive M.Tech. is not an automatic extension of the PG Diploma.

How the agentic system is structured

From AI Foundations to Intelligent Systems

Artificial Intelligence and Machine Learning

Build a foundation in AI, machine learning and optimisation for data science.

Computer Vision and Natural Language Processing

Explore image analysis, natural language understanding and computer vision.

Deep Learning and Generative AI

Develop expertise in deep learning, foundation models, Generative AI and language technologies.

Engineering and Deployment

Work with MLOps, DLOps, GPU programming and advanced algorithms to support AI development and deployment.

Build the foundations
Engineer real-world AI
Artificial Intelligence and Machine Learning

Build a foundation in AI, machine learning and optimisation for data science.

Computer Vision and Natural Language Processing

Explore image analysis, natural language understanding and computer vision.

Deep Learning and Generative AI

Develop expertise in deep learning, foundation models, Generative AI and language technologies.

Engineering and Deployment

Work with MLOps, DLOps, GPU programming and advanced algorithms to support AI development and deployment.

By the End, You'll Be Able To

Previous
Next
Build intelligent applications

Develop applications using machine learning and deep learning.

Architect AI-first solutions

Combine classical machine learning, deep learning and Generative AI to develop intelligent solutions.

Develop autonomous systems

Work with reinforcement learning and multi-agent coordination to develop autonomous systems.

Deploy scalable AI pipelines

Take AI workflows from model training to deployment and monitoring.

Create Generative AI applications

Apply prompt engineering, fine-tuning and LLM-based approaches to build useful applications.

Apply responsible AI principles

Consider ethics, interpretability and accountability when developing AI systems.

Tools You Will Master

Python
TensorFlow
TensorFlow
PyTorch
scikit-learn
Keras
Apache Spark
OpenAI
Apache Kafka
Hugging Face

*The specific tools used may vary by course and project.

Building AI Takes More Than Knowing the Model

Move beyond the fundamentals to understand how intelligent systems are developed, deployed and applied to real-world problems.

APPROACH
Before

Understand AI and machine learning concepts

Now

Apply AI concepts to build intelligent applications

MODELS
Before

Learn how machine learning models work

Now

Build applications using machine learning and deep learning

GENERATIVE AI
Before

Understand foundation models and LLMs

Now

Develop Generative AI applications using prompting and fine-tuning

AUTONOMY
Before

Study AI and autonomous systems

Now

Explore reinforcement learning and multi-agent coordination

DEPLOYMENT
Before

Focus on model development

Now

Work across AI pipelines, deployment and monitoring

RESPONSIBILITY
Before

Understand the underlying technology

Now

Apply principles of ethics, interpretability and accountability

Roles This Programme Can Help You Work Towards

Previous
Next
AI/ML Engineer
Build, train and deploy machine learning models.
Indicative salary range (annual)
₹7–40 LPA
Agentic AI / LLM Engineer
Build AI agents and applications powered by large language models.
Indicative salary range (annual)
₹10–70 LPA
Data Engineer
Build data pipelines that feed AI systems with reliable data.
Indicative salary range (annual)
₹6–50 LPA
Data Architect
Design the data infrastructure that supports analytics and AI.
Indicative salary range (annual)
₹10–50 LPA*
MLOps / AI Platform Engineer
Deploy, monitor and maintain AI models in production.
Indicative salary range (annual)
₹8–45 LPA
AI Solutions Architect
Design AI systems that solve business problems at scale.
Indicative salary range (annual)
₹15–60 LPA*
AI Research Engineer
Develop and test new AI methods, models and architectures.
Indicative salary range (annual)
₹12–90 LPA*
GenAI Application Developer
Turn Generative AI models into usable products and applications.
Indicative salary range (annual)
₹9–60 LPA

*Salary ranges are indicative and taken from the programme brochure. Actual salaries vary by role, experience, employer and location. These figures are not programme outcomes, and Futurense does not guarantee placement or salary.

Meet Our Learners

Previous cohorts (Batches 1 to 5):

IIT Jodhpur convocation
IIT Jodhpur degree certificate
IIT Jodhpur graduates
IIT Jodhpur graduates
IIT Jodhpur graduates
IIT Jodhpur campus
IIT Jodhpur campus
IIT Jodhpur campus
IIT Jodhpur campus
29  years
average age
4.5   years
average professional experience
Our Students Are Acing It!

Connecting learners with opportunities across the industry.

*Career support is not an employment guarantee. Futurense does not offer employment.

Hear From Our Learners
“The course is exceptionally well-structured and practical. It helped me move beyond theory and actually design, build, and reason about autonomous AI agents.”
AM
Ariharasudhan M.
“This course really helped me improve my AI knowledge with lots of hands-on collaborative labs.”
RM
Ramesh Babu Mani
“My Executive M.Tech. programme provided excellent exposure to advanced technologies and research methodologies.”
VP
Vivek Pankantavita
Career Assistance
Profile Building

Skill mapping, industry orientation and GitHub portfolio setup.

Mocks and Mentoring

Mock interviews and role-specific mentoring.

Resume and LinkedIn

Resume and LinkedIn profile optimisation.

Interview Preparation

Company introductions and interview preparation.

Placement Support

Placement drives, offer guidance and negotiation support.

*Futurense does not offer employment

₹

Fees and Application

YEAR 1 · PG DIPLOMA
AMOUNT
Programme Fee
₹3,25,000
Administrative Fee
₹20,000
Application Fee
₹10,000
Bridge Course
Sponsored · No extra cost
TOTAL YEAR 1 INVESTMENT
₹3,55,000
Flexible Payment Options
EMI OPTIONS
6
9
12
24
months
PAY YOUR WAY
UPI, net banking and credit/debit cards
FINANCING PARTNERS
Propelld
Avanse
Indian Bank
YEAR 2 · EXECUTIVE M.TECH. PATHWAY
CGPA 6.0+
₹2,40,000
ADDITIONAL INVESTMENT (Optional)

Progress to the Executive M.Tech. in one additional year, subject to eligibility and approval.

Minimum PG Diploma CGPA of 6.0 and other progression requirements apply. See the eligibility section for details.

*The Executive M.Tech. fee applies only to eligible learners who progress to Year 2. Progression is subject to academic performance, programme requirements and IIT Jodhpur's approval.

Sample IIT Jodhpur PG Diploma certificate

PG Diploma in Artificial Intelligence from IIT Jodhpur

An academic credential earned through 30 credits, examinations and faculty-assessed work, with Regular IIT Alumni Status* subject to applicable requirements.

Build beyond the classroom.
Design, deploy and present your capstone project to IIT Jodhpur faculty, applying your learning to practical AI problems.
Progress further.
Eligible graduates may progress to the Executive M.Tech. in one additional year, subject to academic performance, eligibility and IIT Jodhpur's approval.

*Alumni Status and progression to the Executive M.Tech. are subject to IIT Jodhpur's conditions.

Taught by Industry Leaders

 A collective of CXOs, AI leaders, and digital transformation heads from global and Fortune 500 companies shaping the AI-native workforce.

Vidhi Chugh

AI Executive | Microsoft MVP

Bhairav M

Senior Manager Data Science and Product Management

Arpit Agarwal

Data Science Manager, Google

Aneel Kumar

Global Chapter Leader - ICSS, DD&T

Sulabh Jain

Chief Analytics Officer

Ruchika Singh

Director, Data Science & Insights, Spotify

Tushar Chahal

Chief Technology Officer, Numisma Bank

Bhargab Dutta

Chief Digital Officer, Centuryply

Madhurima Agarwal

Managing Director - Microsoft for Startups

Krithika Muthukrishnan

Chief Data Science Officer, Scripbox

Swati Jain

Partner - Digital, AI & Analytics, Deloitte

Deepa Mahesh

Head of Strategy & Operations, Board Member

Monica S Pirgal

Chief Executive Officer, Bhartiya Converge

Vishal Nagpal

Director of Data and AI, Best Buy

Akshay Kumar

Research & Analytics Leader

Supria Dhanda

Co-Founder & Managing Partner, Wyser

Alok Tiwari

Director of Analytics, Junglee Games

Sumon Mal

Head of Backend Engineering, Sony LIV

Srini Oduru

Head of IT Delivery and Operations, Cervello India

Indrani Goswami

Director of Analytics, Nykaa

Anirban Nandi

Head of AI Products & Analytics (Vice President), Rakuten India

Praveen Sathyadev

Head - EU/UK Business Growth (VP) - Analytics, Insights and AI, Course5i

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Sharmistha Chaterjee

Executive Engineering Manager - Head of Software and Systems Engineering, Commonwealth Bank

Saurabh Kumar

Director - Data Engineering

Satyakam Mohanty

Founder & Managing Partner, Wyser

Pankaj Srivastava

Partner, PwC

Aditya Khandekar

President, Corridor Platforms

Muthumari S

Global Head of Data & AI Studio

Ankit Mogra

Director, Insights & Analytics, Ather Energy

Madhu Hosadurga

Global Vice President, Enterprise AI, Schneider Electric

A V Rahul

Director, Analytics, Barracuda

Shirsha Ray Chaudhuri

Director of Engineering

Nitin Srivastava

Global Head of Data and Analytics, Dr. Martens plc

Ashish Dabas

Vice President, Capital One

Saurabh Agarwal

Chief Executive Officer

Ishu Jain

Head of Analytics

Divesh Singla

SVP, Global Operations Services and Managing Director, India & Philippines, SignantHealth

Anupam Gupta

Independent Consultant, AI/ML Product Development, Amplify Health

Anand Das

Chief Digital & AI Officer, TVS Motors

Tushar Sahu

Director Engineering, Google

Kaushik Das

Managing Director, JCPenney

Pankaj Rai 

Group Chief Data and Analytics Officer, Aditya Birla Group

Nithya Subramanian

Senior Director Data & AI COE - Best Buy

Vidhi Chugh

AI Executive | Microsoft MVP

Bhairav M

Senior Manager Data Science and Product Management

Arpit Agarwal

Data Science Manager, Google

Aneel Kumar

Global Chapter Leader - ICSS, DD&T

Sulabh Jain

Chief Analytics Officer

Ruchika Singh

Director, Data Science & Insights, Spotify

Tushar Chahal

Chief Technology Officer, Numisma Bank

Bhargab Dutta

Chief Digital Officer, Centuryply

Madhurima Agarwal

Managing Director - Microsoft for Startups

Krithika Muthukrishnan

Chief Data Science Officer, Scripbox

Swati Jain

Partner - Digital, AI & Analytics, Deloitte

Deepa Mahesh

Head of Strategy & Operations, Board Member

Monica S Pirgal

Chief Executive Officer, Bhartiya Converge

Vishal Nagpal

Director of Data and AI, Best Buy

Akshay Kumar

Research & Analytics Leader

Supria Dhanda

Co-Founder & Managing Partner, Wyser

Alok Tiwari

Director of Analytics, Junglee Games

Sumon Mal

Head of Backend Engineering, Sony LIV

Srini Oduru

Head of IT Delivery and Operations, Cervello India

Indrani Goswami

Director of Analytics, Nykaa

Anirban Nandi

Head of AI Products & Analytics (Vice President), Rakuten India

Praveen Sathyadev

Head - EU/UK Business Growth (VP) - Analytics, Insights and AI, Course5i

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Sharmistha Chaterjee

Executive Engineering Manager - Head of Software and Systems Engineering, Commonwealth Bank

Saurabh Kumar

Director - Data Engineering

Satyakam Mohanty

Founder & Managing Partner, Wyser

Pankaj Srivastava

Partner, PwC

Aditya Khandekar

President, Corridor Platforms

Muthumari S

Global Head of Data & AI Studio

Ankit Mogra

Director, Insights & Analytics, Ather Energy

Madhu Hosadurga

Global Vice President, Enterprise AI, Schneider Electric

A V Rahul

Director, Analytics, Barracuda

Shirsha Ray Chaudhuri

Director of Engineering

Nitin Srivastava

Global Head of Data and Analytics, Dr. Martens plc

Ashish Dabas

Vice President, Capital One

Saurabh Agarwal

Chief Executive Officer

Ishu Jain

Head of Analytics

Divesh Singla

SVP, Global Operations Services and Managing Director, India & Philippines, SignantHealth

Anupam Gupta

Independent Consultant, AI/ML Product Development, Amplify Health

Anand Das

Chief Digital & AI Officer, TVS Motors

Tushar Sahu

Director Engineering, Google

Kaushik Das

Managing Director, JCPenney

Pankaj Rai 

Group Chief Data and Analytics Officer, Aditya Birla Group

Nithya Subramanian

Senior Director Data & AI COE - Best Buy

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FAQs

What is this programme?

The PG Diploma and Executive M.Tech. in Artificial Intelligence is offered by the Office of Executive Education at IIT Jodhpur. The programme combines Artificial Intelligence, Machine Learning, Generative AI and Autonomous Systems to build practical skills for real-world AI applications. The 12-month PG Diploma offers a conditional pathway to an Executive M.Tech. in one additional year.

What will I learn?

You will study AI foundations, machine learning, deep learning, computer vision, natural language processing, Generative AI, autonomous systems, AI deployment and professional practice.

Is the programme hands-on?

Yes. The curriculum includes applied AI projects and a capstone that you design, deploy and present for review by IIT Jodhpur faculty.

Who is eligible for the PG Diploma in Artificial Intelligence?

Applicants must hold a BTech, BSc + MSc, BCA + MCA, or a degree in a STEM field, with a minimum of 50% in undergraduate or postgraduate studies and at least 1 year of work experience after their qualifying degree.

Who is eligible for the Executive M.Tech. pathway?

A minimum of 60% in UG, First Division in UG or PG, and 2 years of work experience. In the PG Diploma, you need 75% attendance, no backlogs, a CGPA of 6.0 or above, 60% aggregate marks, and the Program Director's recommendation.

Is there an admission test?

Yes. All applicants must qualify a pre-screening test as part of the admission process.

What is the admission process?

Apply to the programme, qualify the pre-screening test, and pay the ₹10,000 application processing fee. Upon receiving the offer letter from IIT Jodhpur, complete the programme fee payment and the Futurense Bridge Course to proceed.

What is the programme fee?

₹3,55,000 for Year 1 (course fee ₹3,35,000 + administrative fee ₹20,000). The Executive M.Tech. in Year 2 costs ₹2,40,000.

Is the application fee refundable?

It is fully refunded if IIT Jodhpur or Futurense does not accept your application. It is non-refundable if you withdraw after acceptance.

Are EMI options available?

Yes.

What is the refund policy?

No refunds are given after the last date of registration. [Add the full refund policy once confirmed.]

When does the programme start, and how long is it?

The PG Diploma starts in January 2027 (tentative) and runs for 12 months across 2 semesters.

When are classes held?

Live online on Friday late evenings, Saturdays, and Sundays, with 10 to 15 live hours a week. The schedule is set by IIT Jodhpur.

What is the campus immersion?

A mandatory 5 to 7 day stay at IIT Jodhpur, where you present your capstone, attend classes and labs, and work with your cohort.

Are sessions recorded?

[Insert confirmed recording policy.]

What will I build?

You will work towards building intelligent applications using machine learning and deep learning, AI-first solutions combining classical ML and Generative AI, autonomous systems using reinforcement learning and multi-agent coordination, scalable AI pipelines and LLM-based applications.

What tools will I use?

TensorFlow, PyTorch, Keras, OpenAI and Hugging Face. The specific tools may vary by course and project.

What credential will I receive?

You will receive a PG Diploma in Artificial Intelligence from IIT Jodhpur after completing the prescribed academic requirements, including 30 credits, examinations and faculty-assessed work. IIT Alumni Status is subject to applicable requirements.

How does the Executive M.Tech. pathway work?

If you meet the progression requirements, your 30 credits transfer to the Executive M.Tech. You complete 34 more in Year 2, without the GATE exam. For queries, write to office_eep@iitj.ac.in.

Does the programme guarantee a job?

No. Futurense does not guarantee placement or salary. Career support includes resume building, mock interviews, referrals, and the Futurense Job Board.

Who do I contact for programme queries?

Write to support@futurense.com.