TL;DR
- AI & Machine Learning (Applied) PGC by the Department of Artificial Intelligence at IIT Kharagpur is an 8-month full online program.
- Programme content includes Machine Learning, Deep Learning, NLP, Generative AI, Agentic AI, RAG models, Deployment, and MLOPs following a systematic learning journey.
- Learners will create six AI-based systems and undertake a capstone project aligned with industry requirements.
- This is a highly academically focused yet application-oriented course that focuses on building AI systems and deploying them.
- The iit kgp online executive courses give professionals the chance to learn how to create AI solutions for organizations.
Introduction
The EPGC in Applied AI & Machine Learningwill be ideal for professionals seeking to go beyond basic knowledge of AI principles and acquire actual implementation skills. With time, there is more demand for professionals who can do much more than explain artificial intelligence processes since industries are becoming more affected by AI.
To participate successfully in an AI initiative, one must have expertise in various areas, from Machine Learning to Deep Learning, NLP, generative, agentic, and even MLOps. Such professionals find themselves in higher demand in the world of AI development.
In our experience, a balanced blend of theoretical education and actual implementation is always the best way forward when it comes to learning about Artificial Intelligence. Our programme takes a similar route.
Why Applied AI and Machine Learning Skills Matter in 2026
AI is not confined only to specialized tech teams any longer; companies in various sectors are investigating how they can leverage AI to increase efficiency, automate processes, provide better customer experiences, and inform sounder decision-making.
With the proliferation of AI in enterprises, it will become more important for companies to have people capable of participating in all stages of the development process, from the creation of the model to its deployment, assessment, and effective functioning in live operations.
The capacity to combine both technical skills and practical experience is becoming a valued asset, which is why training programs aimed at preparing engineers to participate in all aspects of AI remain popular among practitioners.
What the Program Is and Who It Is For
The course delivery is managed by the Department of Artificial Intelligence, IIT Kharagpur, and runs for a period of 8 months in 100% live online mode. The course design is carefully crafted such that students move from a solid understanding of fundamentals to advanced applications with an emphasis on practical implementation.
One notable benefit of the program is that the course structure is very well thought out. Instead of viewing current AI-related subjects as standalone concepts, all of these subjects, like Machine Learning, Deep Learning, Generative AI, Agentic AI, RAG systems, Deployment techniques, and MLOps, are merged into one package.
The course will be of great importance for:
- Software Engineers who want to develop skills in AI Engineering
- Data and Analytics Experts who wish to learn AI skills
- Tech Consultants who work on AI Transformation initiatives
- Technical Leaders working on AI initiatives
- Engineering Managers handling AI-enabled products and services
As such, this wide applicability ensures that the programme is suitable for a variety of different sectors where there is rapid growth in the use of AI.
Eligibility
The programme is open to graduates from technical backgrounds and those who work in technology-based positions.
Eligible candidates include:
- Grads with B.Tech/M.Tech Degree
- Grads with B.E./M.E. Degree in CS/IT/AI/ECE
- Grads with B.Sc./M.Sc. Degree in Computer Science/Maths/Statistics
- Grads with MCA/BCA Degree
- Candidates from other areas who have at least two years of work experience in the technology field
- Minimum marks required to apply should be 50% in Graduation.
Having knowledge about programming logic, proficiency with at least one programming language, and understanding basic mathematics concepts, including algebra, probability, and statistics, will be advantageous for participants.
Curriculum Overview
One of the characteristics that stand out about the EPGC in Applied AI & Machine Learning is that it covers an end-to-end AI Engineering curriculum.
The Learning process is started with an AI Foundations Bridge course aimed at improving knowledge of certain topics before moving on to more advanced topics. The topics included are:
- Python
- SQL
- Statistics
- Linear Algebra
- Probability
- Calculus
The key curriculum modules are as follows:
- Machine Learning Fundamentals
- Deep Learning and Computer Vision
- Natural Language Processing, Transformers, and Speech AI
- RAG and LLM Orchestration
- Agentic AI, MLOps, Deployment, and AI Governance
The programme is completed with a capstone project where participants develop a production-level AI system under the guidance of faculty members.
What You Will Build
One important strong point of the programme is the fact that it emphasizes application-oriented aspects. Instead of concentrating only on theory, students create a portfolio of AI applications showing engineering skills in practice.
Projects include:
- An end-to-end Machine Learning pipeline involving Data preprocessing, Training, Evaluation, and Deployment
- Deployment of a Deep Learning model suitable for real-world use cases
- Production-level RAG systems with Retrieval and Orchestration
- Generative and Agentic AI solution by means of Prompting and lightweight Fine-Tuning
- Deployed and Containerized AI APIs with Version control and Monitoring
- Industry Capstone Project centered around a real-world business problem
Fee & Admission
Flexibility in payments is available to make learning easier for the candidates.
Fees Structure
- Programme Total Fees: Rs. 1,99,000
- Seat blocking fee: Rs. 10,000
- EMI scheme option: Rs. 6,825/monthly
- Taxes are included in the fees
Process of Admission
Steps in the admission process:
- Application submission
- Selection process and provisional offer letter issuance
- Seat block and document submission
- Balanced Payment after verification
Why IIT Kharagpur Makes a Difference
In professional programs, the institution granting the credential is just as important as the curriculum itself.
Founded in 1951 as India’s first IIT and ranked 5th in Engineering by NIRF 2025, the IIT Kharagpur has established its reputation in engineering, computing, and artificial intelligence research.
The IIT Kgp online executive courses will allow you to receive an Executive Certificate along with a graduation ceremony in person on campus and a Certificate of Distinction for those who demonstrate excellent results.
Our program is conducted at the Department of Artificial Intelligence with a balanced combination of academically proven teaching and practical implementation. Learners will get acquainted with curricula reflecting the process of designing, implementing, and maintaining AI systems.
Credentials issued by reputable institutions usually bring their bearers a lot of professional benefits over time.
Final Thoughts
Artificial Intelligence keeps on transforming various sectors and creating chances for those individuals who can actually implement AI in real-life settings.
For those students who are looking for a program that combines both theory and practice, EPGC in Applied AI & Machine Learning can be an ideal choice. This is because through IIT Kgp online executive courses, one can gain the ability to apply AI in various settings.
FAQs
1. Why is practical project experience important in AI education?
Practical projects help learners understand how AI systems perform in real-world environments. Building and deploying systems often strengthens learning beyond theoretical concepts alone.
2. How is modern AI education different from traditional machine learning training?
Modern AI education increasingly includes Generative AI, Agentic AI, deployment practices, evaluation frameworks, and MLOps alongside traditional machine learning concepts.
3. What should professionals look for in an AI executive programme?
Professionals often evaluate curriculum depth, faculty expertise, practical projects, recognised credentials, and opportunities to apply learning in real-world scenarios.
4. Why is AI deployment knowledge becoming important?
Developing a model is only one part of the process. Organisations also need professionals who understand monitoring, scalability, reliability, and operational management.
5. How can AI knowledge support long-term professional growth?
AI is influencing technology, business, operations, and decision-making. Understanding AI can help professionals adapt to changing workplace requirements and emerging technologies.
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