TL; DR
- Gen ai and agentic ai courses are becoming increasingly important as organisations move from AI experimentation to production-ready AI systems.
- The Postgraduate Certification program for Executives is a combination of Generative AI, Large Language Models, Retrieval Augmented Generation (RAG), Agentic AI, and Deployment methodologies in a coherent educational path.
- Offered by the Department of Computer Science & Engineering, the course is designed in an 8-month fully online learning framework.
- Students create AI systems suitable for deployment, including enterprise-class RAG systems, finetuned language models, multiple agents, and AI APIs.
- The educational approach of the course incorporates theoretical insights, faculty-led training, hands-on project work, and campus-based recognition.
Introduction
Gen AI and Agentic AI courses are gaining importance as companies move from experimenting with AI to implementing production-grade AI. Companies today want employees who have the skill set to build, customize, deploy and manage AI systems which run in real-world scenarios.
AI is advancing quickly. From machine learning-based experimentation, we now have highly evolved systems that reason, plan, retrieve and perform tasks. As a result, there is a great need for people who can implement Generative AI and Agentic AI.
Founded in 1951, IIT Kharagpur is India’s first IIT and among the finest institutes of engineering in the world. It is ranked 5th in engineering in the NIRF 2025. The institute is known for its academics, research, and significant contributions to AI and machine learning and advanced computing systems.
From experience, we have seen that people get maximum benefit from learning if learning involves implementation of knowledge.
Why Gen AI and Agentic AI courses AI Matter in 2026
Artificial Intelligence is moving beyond simple chatbots and content generation tools.
Why These Skills Matter Now
- AI systems today don't just generate content but also, they reason, plan, retrieve information, and automate tasks.
- Agentic AI takes it further as systems that use tools, run multi-step processes, and work independently.
- As companies adopt these technologies, professionals need to understand the full AI lifecycle and not just one piece of it.
What That Includes:
- Foundation Models & LLMs
- Prompting Techniques
- Retrieval Systems
- Fine-Tuning & Optimization
- Deployment & Monitoring
The rise of such technologies has seen a need for courses in gen ai and agentic ai become very important for engineers and technology experts.
What the Program Is and Who It Is For
The Executive Post Graduate Certificate in Gen ai and Agentic ai courses is a production-focused postgraduate online course that is designed and provided by the Department of Computer Science & Engineering.
The curriculum offers comprehensive training in academia and application from basic models to system design and implementation. The program equips learners with skills to create and implement cutting-edge AI systems including Large Language Models and agent systems that work in practical settings.
This program is ideal for:
- Software Engineers
- Technical Leads
- Engineering Managers
- Product Managers
- Technology Consultants
- AI Practitioners
- Those who want to transform organizations using AI technology
The program is conducted entirely online, allowing you to keep your job while mastering AI technologies.
Eligibility
The program is also open to those who have completed their degrees and have any technical background.
Eligible applicants will be:
- Graduates in B.Tech or MTech
- Graduates in B.E. / M.E. (CS, IT, AI, ECE)
- Graduates in B.Sc./M.Sc. (Computer Science, Mathematics, Statistics)
- Graduates in MCA & BCA
- Individuals having a technical background from other streams and having at least two years of experience in the technology sector
- Applicants should have scored at least 50% marks in their graduation.
Recommended Technical Foundation
For maximum benefit to participants, they should be familiar with:
- Python function writing and data structures
- API consumption and creation
- Technical documentation
- Mathematics and statistics involved in machine learning
Curriculum Overview
The programme follows a structured progression designed to help learners move from foundational concepts to production-ready AI systems.
- From GenAI basics to deploying production-ready AI systems — step by step.
- Foundations of GenAI & LLMs Understand how Generative AI, LLMs, and foundation models work.
- Advanced Prompting & RAG Systems Master prompting techniques and build retrieval systems that make AI more accurate and reliable.
- LLM Fine-Tuning & Alignment Customize and optimize models for specific real-world use cases.
- Multimodal & Agentic AI Build AI that can reason, plan, use tools, and handle multi-step tasks independently.
- Deployment, Optimization & AI Safety Deploy, monitor, and govern AI systems built for real production environments.
Topics Covered
Key topics include:
- AI & Deep Learning Fundamentals
- Transformer Model
- Foundation Models in Practice
Program Highlights
The programme includes several features that support practical AI learning:
- 100% Live Classroom Teaching
- Leadership from Faculty of the Computer Science & Engineering Department
- Curriculum Developed after Extensive Research
- Academically Rigorous and Relevant to Real-world Application
- LLM Engineering and Deployment
- Advanced Fine-tuning methods such as PEFT, LoRA, QLoRA
- Capstone Project with Industry Collaboration
- Executive Alumni Designation
- Graduation Ceremony on Campus
- Certificate of Distinction for Top 10 Percentile Performance
Fee & Admission
It provides flexible modes of payment along with free EMI schemes.
Programme Duration
- 8 Months
- 100% Live Online
Programme Fee
- Total Programme Fee: Rs. 1,99,000
- Booking of Seat: Rs. 10,000
- EMI per month: Rs. 6,825 - Including Taxes
Admission Procedure
- Admission procedure includes three following steps:
- Fill in details and apply for the programme
- Short listed for the programme and get the Offer Letter
- Block the Seat
Why IIT Kharagpur Makes a Difference
Here is why the IIT KGP online executive courses carry genuine weight:
- IIT Kharagpur was established in 1951 as India's first IIT and is ranked 5th in Engineering by NIRF 2025.
- The program is offered by the Partha Ghosh School of Leadership, a dedicated leadership school within IIT Kharagpur with a distinct academic pedigree built specifically for executives.
- Faculty bring active research expertise into every session rather than recycled course content.
- The IIT Kharagpur alumni network connects participants to a wide professional community with long term career value.
In fact, we can see that qualifications issued by institutions of genuine academic worth provide access to boardrooms and top hiring discussions that would be inaccessible with qualifications from lesser-known sites.
Final Thoughts
Artificial Intelligence’s future lies in the integration of independent systems into a network of smart systems that can reason, retrieve data, plan, and execute tasks. This means that those with knowledge about such systems will find themselves in a position to help in the development of the future of AI.
Professionals considering enrolling in gen ai and agentic ai courses classes should look for programs that blend academic rigor, hands-on projects, deployment-oriented lessons, and expert teaching. The combination of production first lessons offered in the course, as well as the hands-on approach taught by iit kgp online courses, makes this program very suitable for learners.
FAQs
1. Is Generative AI only useful for AI specialists?
No. Generative AI is increasingly being adopted across software engineering, product management, consulting, operations, and business strategy. Understanding how AI systems create value can benefit professionals beyond traditional AI roles.
2. How much time should professionals dedicate each week to the programme?
The programme follows a live weekend format designed for working professionals. Consistent participation in live sessions and project work helps learners maximise the value of the programme.
3. Why are organisations investing heavily in Agentic AI?
Agentic AI enables systems to plan tasks, interact with tools, and automate complex workflows. As organisations seek greater efficiency and automation, these capabilities are becoming increasingly valuable.
4. Can Generative AI skills remain relevant as AI technology evolves?
Yes. While tools and platforms continue to change, a strong understanding of AI systems, model behaviour, deployment, and evaluation remains valuable across evolving technology landscapes.
5. What should professionals look for when comparing GenAI and Agentic AI programmes?
Professionals should evaluate curriculum depth, faculty expertise, practical project work, deployment-focused learning, and opportunities to build real-world AI systems rather than focusing only on theoretical concepts.