AI is reshaping how companies build products, automate workflows, and drive smarter business decisions.
The IIT Kharagpur Executive Post Graduate Certificate in Building AI Products, Systems & Services is a 6-month, 100% live online programme designed for tech and product professionals looking to lead AI initiatives, design intelligent workflows, and build functional AI-native prototypes.
The IIT KGP Building AI Products Program is designed for professionals who want to build practical AI products and develop skills across AI, product strategy, technology, and business.
The programme covers AI product discovery, AI-native product design, Generative AI, LLMs, RAG, agentic AI, AI evaluation, experimentation, product economics, go-to-market, safety, and compliance.
It is suitable for Product Managers, aspiring Product Managers, founders, engineers, tech professionals, and business professionals looking to strengthen their AI product management capabilities.
Learners gain hands-on experience through AI product prototypes, system designs, evaluation frameworks, business cases, and a capstone project, helping them build a practical AI product portfolio.
The programme runs for 6 months, is delivered 100% live online, and includes 72+ hours of direct instruction, with weekend classes designed for working professionals.
In this guide, you'll explore who should apply, eligibility and required skills, AI product management curriculum, hands-on projects, capstone experience, programme duration, learning format, faculty and industry exposure, fees, admission process, and career relevance of the EPGC in Building AI Products, Systems & Services from IIT Kharagpur.
Who Should Apply for the IIT KGP Building AI Products Program?
The Building AI Products by IIT KGP program is meant for people who have learned the basics of AI and would like to go further in building practical applications through it. It concentrates on the theme of EPGC in Building AI Products, Systems & Services and assists students in understanding how to utilize AI in different applications.
Ideal Candidates for the Program
Not sure if you're the "right" profile for this one? Here's a quick breakdown of who the programme is actually built for.
Candidate Type | Why This Program Fits |
Current Product Managers | Want to lead AI-native products and work confidently with AI/engineering teams |
Aspiring Product Managers | Coming from consulting, analytics, operations, or growth roles, looking to break into AI PM roles |
Founders & Builders | Need to evaluate, build, position, and scale AI-powered products |
Tech Professionals | Engineers and tech leads who want to add product strategy to technical depth |
Tech-Adjacent Operators | Marketing, strategy, and business professionals who want a stronger product mindset for AI decisions |
Whether you’re currently working in Product, Tech, Business or are just thinking about making a career switch, this program is designed for you to become more proficient in using AI. This is where the learning begins if your objective is to create and lead AI-driven products.
Professionals Who Can Benefit Most
Beyond job titles, it really comes down to where you're headed next. These are the profiles that tend to walk away with the most.
Product managers who would like to make a career switch to become an AI product manager and earn better pay.
Developers and engineers who wish to transition from execution mode to being product owners.
Entrepreneurs creating AI-first startups who would like to have a framework for success rather than going through trial and error.
Business professionals working alongside product managers and needing AI expertise.
What Skills or Background Do You Need?
A coding education is not required for you to begin. The course caters to learners coming from all sorts of professional and academic backgrounds, especially those who have an understanding of how to analyze products and solve problems through AI.
There's no requirement to be a data scientist or engineer to join the IIT KGP Building AI Products Program. What helps most is:
A graduation degree with at least 50% marks (the eligibility requirement).
Experience in some kind of work involving products, business, technologies, or customers.
A certain comfort level with basic analysis - you do not have to code but must be ready to think about data and metrics and system design.
Who May Not Be the Right Fit?
It is equally important to understand whether the program aligns with your current goals and background. The following points can help you assess if it is the right choice for you.
Professionals looking purely to become ML engineers or model builders — this is a product leadership programme, not a machine learning engineering course.
Those seeking a purely theoretical or certificate-only credential without wanting to build and defend a real product.
Anyone unable to commit to weekend live classes over a 6-month period, since the format depends on consistent attendance.
What Will You Learn in the IIT KGP Building AI Products Program?
This is the part most people actually care about what's inside the curriculum, module by module. Here's how it all lays out.
AI Product Discovery and Design
Every good AI product starts by asking "should we even build this?" this module is all about answering that.
Modules 1–2: AI Product Opportunity Discovery & AI-Native Product Design
Learn to separate genuine AI opportunities from hype using the AI Suitability Matrix (probabilistic, learnable, recoverable, data-rich dimensions).
Apply the TASQ Checklist — Task ambiguity, Scale, Quality tolerance — as a fast first-pass filter on any AI idea.
Map opportunities with the AI Opportunity Canvas, covering data richness, failure recoverability, and feedback loop potential.
Run a proper feasibility assessment across data availability, model capability, cost viability, and regulatory risk.
Use the build-vs-buy-vs-prompt framework to decide how an AI feature should actually get made.
Generative AI, LLMs and AI Systems
In order to develop good AI products, it is important that you understand the technology involved in the process. This module will discuss generative AI, LLMs, and the basic AI technology driving current products.
Module 3: AI & GenAI Fluency
Build working knowledge of large language models and how they're applied inside products.
Understand generative AI mechanics — what's actually happening under the hood, in plain terms.
Learn how these systems behave in production, including their quirks and failure modes.
Gain enough technical vocabulary to hold credible conversations with engineering teams.
AI Prototyping, RAG and Agentic AI
This is the point where all the theory starts to become an actionable reality. Here you will delve into the practical applications of AI prototyping, RAG, and agentic AI.
Modules 4–5: AI Prototyping & Rapid Validation, AI Systems & Agentic Design
Move from concept to a working prototype with live LLM integration.
Design RAG (retrieval-augmented generation) pipelines — the backbone of most modern AI copilots.
Build agent workflows and define clear autonomy boundaries for AI systems.
Learn the system architecture patterns behind production-grade agentic products.
AI Evaluation, Analytics and Experimentation
Shipping an AI feature is easy; knowing whether it's actually working is the hard part. This module covers exactly that.
Modules 6–7: AI Evaluation & Red Teaming, AI Analytics & Experimentation
Build evaluation pipelines to measure whether an AI feature is genuinely working.
Run adversarial testing (red teaming) to surface failure points before users do.
Set quality thresholds so you know when an AI feature is production-ready.
Design experimentation frameworks, from A/B tests to broader product analytics.
AI Product Economics, GTM and Compliance
Great AI products still need to make business sense and stay on the right side of regulation. That's the closing stretch of the curriculum.
Modules 8–9: AI Product Economics & Go-to-Market, AI Operations, Safety & Compliance
Understand token economics and how to price AI-driven features.
Build a go-to-market plan tailored to AI products.
Learn the fundamentals of AI governance and safety.
Navigate regulatory compliance so AI products ship responsibly, not just quickly.
Skills You Will Gain
The modules provide you with the basics, but what matters most is what you will be able to do with them. Once the programme ends, you will acquire a skill set that brings together artificial intelligence, product mindset, technology, and business.
Product Strategy - Opportunity assessment, AI-native product design, roadmapping.
AI & GenAI Fluency -LLM applications, generative AI mechanics, AI product lifecycle.
Technical Building Blocks - RAG pipelines, agentic workflows, prompt and system design.
Evaluation & Analytics - AI evaluation, red teaming, experimentation, product metrics.
Business & Compliance -Token economics, GTM strategy, AI governance and safety.
The goal is to integrate all these skills so that you can progress from knowing about AI to being able to design and lead AI products.
What Will You Build in the IIT KGP Building AI Products Program?
The program is not only about studying concepts and moving on. You will have practical experience applying AI concepts in projects that you can add to your portfolio and show others how you can apply those AI concepts to develop tangible solutions.
AI Product Prototypes and System Designs
From a first feasibility brief to a working prototype, these are the artefacts that show real building, not just planning.
AI Opportunity & Feasibility Brief - problem framing, feasibility analysis, and market validation.
AI Product Specification & Behaviour Design - a full AI PRD with behaviour specs, trust architecture, and hallucination-risk handling.
Working AI Product Prototype -a functional AI product with live LLM integration and production handoff documentation.
RAG & Agentic AI System Architecture -designed RAG pipelines, agent workflows, and autonomy boundaries.
AI Evaluation and Business Case
It's not enough for an AI product to work it has to hold up under scrutiny and make business sense too.
AI Evaluation & Red Teaming Framework - evaluation pipelines, adversarial testing, and quality thresholds.
AI Product Business Case & Compliance Strategy -pricing, token economics, GTM plans, and compliance strategy.
Capstone Project and Faculty Evaluation
This is the project through which the learning will be put to practical use. Capstone will span 24 weeks in duration, allowing learners the freedom to select any problem in any field and create a full-fledged AI product based on the same, including the creation of the opportunity brief and a functional prototype, along with a robust business case for the same.
Learners get to undergo a live IIT Kharagpur faculty panel defense where they justify their decision making and the manner in which they would tackle the problem of model drift in real time. The top 10% of each batch gets the distinction certificate.
How Is the IIT KGP Building AI Products Program Delivered?
If you are looking at the programme in light of your day job, then you would be curious about the learning format and schedule of the programme. Take a look at this brief overview of the learning format.
Program Duration and Learning Format
The programme is structured to give you a clear, manageable learning experience over six months, with live online sessions that fit around a working professional’s schedule.
The IIT KGP Building AI Products Program runs for 6 months.
The programme is delivered 100% live online.
Learners receive 72+ hours of direct instruction.
The format is designed to help working professionals manage the programme alongside their existing roles.
Live Classes and Learning Schedule
The live sessions are scheduled with working professionals in mind, giving you a consistent learning routine without taking over your workweek.
Live classes are conducted on Saturday and Sunday mornings.
The weekend schedule helps minimize disruption to regular work commitments.
Learners can attend live sessions without having to clear their weekday calendars.
Faculty and Industry Exposure
You’ll learn from a mix of academic experts and industry professionals, bringing both classroom knowledge and real-world AI product experience into the programme.
Sessions are led by IIT Kharagpur faculty and experienced AI practitioners.
Learners get exposure to both academic expertise and real-world industry experience.
The programme connects AI concepts with their practical application in AI product development.
What Are the Fees and Admission Process for the IIT KGP Building AI Products Program?
Thinking about applying? Here’s a quick look at the programme fees, eligibility, and admission process so you know what to expect before you get started.
Program Fee and Payment Options
Here's the full cost breakdown, plus how you can spread it out.
Fee Component | Amount |
Total Programme Fee | ₹1,99,000 (inclusive of taxes) |
Seat-Blocking Amount | ₹10,000 |
EMI (starting from) | ₹6,825 per month |
Flexible payment plans and zero-cost EMI options are available, and EMI amounts may vary based on the plan selected.
Application and Admission Process
Good news is getting in isn't a long, drawn-out process. It comes down to three simple steps.
Admission to the IIT KGP Building AI Products Program follows three steps:
Apply — Fill in your details and complete the application form.
Get Shortlisted — Eligible applicants receive an offer letter.
Block Your Seat — Confirm your seat with the seat-blocking payment.
Eligibility requires graduation with a minimum of 50% marks.
Batch Dates and Important Deadlines
If you're planning around this, mark your calendar now - seats won't stay open forever.
The next batch of the IIT KGP Building AI Products Program begins on 30 September 2026. Seats are limited, so early application is recommended for candidates aiming to join this cohort.
Why Choose IIT Kharagpur?
If you’re looking to build AI-powered products, the right programme can help you develop the skills to turn AI ideas into practical, market-ready solutions. The Executive Post Graduate Certificate in Building AI Products, Systems & Services from IIT Kharagpur combines AI strategy, product thinking, and hands-on product development to help you build and lead AI-powered products with confidence.
Learn from IIT Kharagpur & Industry Experts: Gain practical AI product management skills through 100% live online weekend classes led by IIT Kharagpur faculty and experienced AI product leaders.
Build a Real AI Product Portfolio: Graduate with a working AI prototype, AI PRD, RAG and agentic AI architecture, evaluation framework, and business case through a hands-on capstone.
Master the Complete AI Product Lifecycle: Learn opportunity discovery, AI-native product design, GenAI, LLM evaluation, experimentation, product economics, go-to-market, safety, and compliance.
Earn Prestigious IIT Kharagpur Recognition: Receive an Executive Post Graduate Certificate, IIT Kharagpur Executive Education alumni status, and attend an on-campus graduation ceremony.
Designed for Career Growth: Whether you're a Product Manager, engineer, founder, or aspiring PM, the programme equips you to transition into high-demand AI Product Management roles with industry-ready skills.
Conclusion
AI Product Management is becoming an important career path as businesses increasingly adopt AI-driven products and solutions. The IIT KGP Building AI Products Program helps professionals build skills in AI, product strategy, GenAI, LLMs, RAG, agentic AI, and product economics. With hands-on projects and a capstone, learners can gain practical experience in designing and developing AI products. As demand for AI talent continues to grow, professionals who combine AI expertise with strong product thinking can be better positioned for emerging opportunities.