Summer School 2026
Artificial Intelligence (LLMs, GenAI & AI Agents)
Internship - 6 Months
Artificial Intelligence (LLMs, GenAI & AI Agents) Internship Program
Duration: 6 Months
Modes: Offline (at IIT Jammu Campus) | Online
*Students have the option to choose between Offline Mode and Online Mode.
Master AI (GenAI & Multi-Agent Systems) in 6 Months
(IIT Mentor-Guided, Skill-Based, and Industry-Oriented)
About the Program
Master LLMs, GenAI Tools & AI Agents from Scratch - and graduate with deployable AI projects, automation pipelines, and a verified internship certificate.
The Artificial Intelligence (LLMs, GenAI & AI Agents) Internship Program is a 6-Month immersive learning-cum-training program designed to help students gain deep, hands-on expertise in modern Artificial Intelligence technologies – moving from strong foundations to real-world, production-level AI systems.
This program blends conceptual learning, guided labs, and industry-aligned project work, covering the complete AI development lifecycle. Students begin by mastering Large Language Models (LLMs), Generative AI, prompt engineering, RAG pipelines, fine-tuning techniques, and AI automation workflows, using powerful tools such as LangChain, CrewAI, Agent SDK, n8n, and OpenAI APIs.
During the initial phase, learners build AI applications step-by-step through mentor-led sessions and coding labs, gaining practical skills in model integration, AI-driven workflows, and automation systems. As the program progresses into the advanced phase (Month 3-6), students work on real-world AI problem statements problem statements curated in collaboration with IIT faculty and incubated startups, simulating professional AI engineering environments.
Participants design agent-based architectures, integrate multiple APIs, build scalable workflows, deploy AI solutions to the cloud, and iterate on real use cases under continuous mentorship and review.
By the end of this program, you will have built:
- Multiple real-world AI applications and agent-based systems
- Hands-on expertise in LLMs, GenAI, RAG pipelines, and fine-tuning
- End-to-end AI automation workflows using industry tools
- Deployment-ready, deployable AI solutions
- A strong AI portfolio aligned with AI Engineer, GenAI Engineer, and Applied AI roles
- A verified 6-month internship certificate showcasing advanced AI readiness
Objectives
- Build deeper understanding of AI, LLMs, and Generative AI systems from scratch.
- Introduce students to prompt engineering, model fine-tuning, and API-based AI workflows.
- Provide hands-on experience in creating custom chatbots, assistants, and automation pipelines.
- Train students to fine-tune open-source LLMs (LLaMA, Mistral, Gemma, etc.) for domain-specific tasks.
- Familiarize students with AI Agent frameworks like CrewAI and Agent SDK for multi-agent systems.
- Develop skills in Retrieval-Augmented Generation (RAG) using vector databases like ChromaDB or Pinecone.
- Help learners apply AI to real-world automation and productivity challenges.
- Exploring current AI Tools and Agentic Systems including ClaudeCode, ClaudeSkills and OpenClaw.
- Enable participants to graduate with a live AI project and a verified internship certificate.
Program Outline
Introduction to Artificial Intelligence & Machine Learning: Understanding basic concepts, datasets, and AI applications.
- Python Concepts for AI from Scratch
Large Language Models (LLMs): Working with OpenAI, Mistral, and LLaMA APIs.
Prompt Engineering Techniques: Designing effective prompts for different use cases.
Fine-Tuning Small Models: Using Hugging Face and open-source datasets for model customization.
GenAI Applications: Building chatbots, summarizers, and text-generation tools.
Mini Project Milestone: Create and deploy a fine-tuned AI chatbot for a chosen use case.
Introduction to AI Agents & Automation Frameworks: Understanding CrewAI, Agent SDK, and their architecture.
Workflow Automation using n8n: Connecting APIs and AI tools for process automation.
Building Multi-Agent Systems: Designing agents that collaborate and communicate to complete tasks.
Real-World Use Cases: Research assistant, content generator, and workflow manager agents.
Integration & Deployment: Hosting your AI projects and managing environment dependencies.
Capstone Project Milestone: Develop and deploy a complete AI automation or agent-based project.
Understand real problem statements & conduct applied research
Design solution architecture (RAG pipelines, agent frameworks, fine-tuning workflows)
Set up repos, cloud environments, vector DBs, APIs
Build the MVP AI system
Improve workflows through iterations and mentor feedback
Integrate external APIs, tools, and multi-agent flows
Optimize model performance & test end-to-end
Deploy final system on cloud (HuggingFace, AWS, Render)
Prepare documentation, GitHub repo, dataset info, and case study
Present final solution to IIT faculty & startup founders
*Capstone projects, deployment, reviews, and evaluation
Total Program + Bonuses Value: ₹65,000+
Early Cohort Fee (Limited Seats): ₹29,999 + GST
*Subsidized Fee for Early Enrollments is valid till April15, 2026
What You Get (Core Program)
- 6-Month live learning-cum-internship program with guided mentoring.
- Structured curriculum from AI foundations to advanced LLM, GenAI, and Agent-based systems.
- Live coding sessions + weekly mentor reviews.
- Mini-projects and one full-stack capstone project.
- Work on real-life problems under guidance of IIT Faculty/I3C Incubated Startups
- Access to community support, Q&A sessions, and career guidance.
- Certificate from IIT Jammu with logos of I3C-IIT Jammu & Techible
Career Enablement & Placement Guidance (Included)
(Structured career support integrated into the program to help students convert projects into opportunities.)
Resume & GitHub Portfolio Development
Learn how to structure your Resume/CV and build a role-aligned GitHub portfolio showcasing real AI projects and deployments.
Personalized Resume Review
Get personalized feedback from mentors to make your resume job-ready.
LinkedIn Brand Building Session
Optimize your LinkedIn profile and learn content strategies to position your profile for AI/ML internships, research roles, and entry-level industry positions.
Interview Prep Kit
A curated guide with system design checklists, 50+ real interview questions, & strategies to communicate your AI projects effectively in interviews.
Mock Aptitude & Placement Test
Simulate campus placement tests with a full-length aptitude assessment aligned to hiring benchmarks.
1:1 Project Mentorship Session (Post-Program)
A dedicated mentorship session post-program for project improvement, feedback, and portfolio enhancement.
SUMMER SCHOOL 2026
Build Industry-Ready Skills and a Project-Backed Portfolio through Hands-On Internship Training
Step into a future-ready learning journey with hands-on programs co-designed by IIT experts and industry professionals.
- Core Program (Live Sessions) with IIT Certificate: ₹ 49,500
- Career Support - Resume & GitHub Portfolio Workshop: ₹ 4,000
- Career Support - Personalized Resume Review: ₹ 3,500
- Career Support - LinkedIn Brand Building Session: ₹ 3,000
- Career Support - 1:1 Project Mentorship Session: ₹ 2,500
- Career Support - Interview Preparation Kit: ₹ 4,500
- Career Support - Mock Aptitude & Placement Test: ₹ 3,000
*Standard cohort fees apply after the early cohort admissions close.
Early Cohort Admissions (Subsidized Fee) close on April 15, 2026
Time remaining for Early Cohort Admissions
✅ Build & Deploy Support Assurance
If a participant is unable to complete or deploy their AI project by the end of the program, extended academic support will be provided. This includes one additional month of guided mentorship and, if required, complimentary re-enrollment in the subsequent internship cohort to ensure successful project completion.
Student Feedbacks
Read what our students say?
Note down the golden tips given by the instructor, you will tend to forget it and then make mistakes. Keep applying your gained knowledge in order to improve the skills.
"Classes were really interesting to attend. Got to learn from basics to an intermediate level. Thank you!
"The overall experience was really great and went beyond what I expected. The sessions were fun and informative, and I learned a lot through hands-on projects. The mentors were super helpful and made the whole journey smooth and enjoyable. "
Course content was good. I got to learn a lot of new concepts. If anyone wants to learn new concepts then should join the program.
One specific thing I appreciated was the practical approach of the sessions. The instructor not only explained concepts clearly but also provided real-life examples and tools that made learning much more impactful. The learning environment was very supportive.
All in all, one of my best experience in terms of learning.
The Summer School'25 program was an enriching experience. The hands-on projects like the Online Course Builder, Code Debugging Assistant, and Smart Study Scheduler provided practical exposure to Generative AI. Great Experience.
One of the highlights of this journey was the hands-on involvement in live projects, which not only sharpened my technical and design skills but also improved my communication, time management, and collaborative abilities. This internship has played a significant role in boosting my confidence and shaping my mindset as a young professional. I'm grateful for the opportunity and excited to carry this learning forward into future challenges.
One specific aspect I’d like to highlight is the clarity and support provided throughout the journey be it in sessions or while working on projects. It significantly enhanced my confidence and understanding of the subject matter. I’ve seen noticeable growth in my skills, especially in problem-solving and development and I feel better equipped for future challenges. I truly appreciate the effort and guidance provided throughout."
It was a transformative experience. The sessions were not only engaging but also highly insightful. I appreciated how the instructors emphasized hands-on learning through projects and interactive discussions. I felt a noticeable improvement in my technical and analytical skills. The structured schedule and mentorship support contributed immensely to my overall growth. It was a great blend of learning, collaboration, and personal development.
"I had a great experience during the summer school. I started with zero knowledge about web development, but by the end of the program, I had gained a solid understanding of it. The assignments were very helpful in reinforcing what we learned and improving our skills. The masterclasses were especially insightful, giving us a clear idea of current industry demands. Overall, it was a truly valuable and enriching experience. "
"Overall, my experience with the classes was very positive. Even though I attended the sessions online, I never felt disconnected. The instructors were clear in their explanations and always open to doubts, which helped me stay engaged throughout. The sessions were well-structured and informative. I gained a lot of practical knowledge, especially during the hands-on project phase which improved my problem-solving skills.
From the very beginning, the sessions were engaging and informative. The instructors demonstrated deep expertise and were always approachable for doubts, which made even complex topics feel accessible. The way they broke down advanced AI concepts — such as transformer architectures, prompt engineering, agent design, and retrieval-augmented generation — was commendable. Every session felt purposeful, and there was a clear progression in the difficulty and depth of topics, which helped me build a solid foundation before moving into advanced applications.
In terms of personal growth, this course has significantly expanded my technical skillset. I now feel comfortable working with OpenAI APIs, developing autonomous agents, integrating tools, and even fine-tuning LLMs for specific use cases. Beyond just coding, it also enhanced my critical thinking, solution design, and collaboration abilities — especially during group discussions and project reviews.
"My overall experience at the IoT and Drones Summer School & Internship Program at IIT Jammu was highly enriching and insightful. The program offered a perfect blend of theory and hands-on learning, covering topics like IoT device programming, sensor integration, communication protocols, and drone control systems. The expert-led sessions were engaging and well-structured, helping me gain both conceptual clarity and practical exposure. I particularly appreciated the hands-on workshops and interactive learning environment, which allowed me to work with real hardware components, microcontrollers, and drones, bridging the gap between academic knowledge and practical application. "
"My overall experience during the internship at IIT Jammu was extremely positive and intellectually rewarding. The program was well-structured and covered a broad range of essential topics including Python programming, Data Science, Machine Learning, and AI tools. Each session was thoughtfully planned and delivered by highly knowledgeable instructors.
All the sessions were interactive and engaging. I appreciated the way the instructors encouraged participation and made complex topics feel approachable.
The learning environment was supportive and motivating. I have gained a strong foundation in Data Science and AI-related areas, and I feel more confident in continuing my learning journey.
I sincerely thank IIT Jammu and the organizing team for providing this opportunity and such high-quality instruction."
"My overall experience in Summer School’25 was excellent. I got to learn a lot of things by being part of the program, and it helped me improve my network of like-minded people. I learned many new concepts like ethical hacking, Kali Linux, and more, which helped me grow my technical skills significantly.
The sessions were engaging, well-paced, and easy to follow. I worked on a File Encrypter Tool as a project, and we were also given several practical tasks that made the learning more hands-on and real-world focused.
I would definitely recommend this program to others because it offers valuable learning, practical exposure, and great networking opportunities."
Summer School 2026
IIT Jammu x Techible x I3C-IITJammu
Empowering students across India with industry-aligned, project-based learning
bridging the gap between academia and employability.
FAQs (Frequently Asked Questions)
Yes, upon successful completion of the program, students will receive an internship certificate from IIT Jammu along with I3C, and Techible logos.
The program does not guarantee placements. However, structured career enablement support is provided, including portfolio development, resume reviews, interview preparation, and mentorship to help students improve employability.
Yes. Students from all academic backgrounds are eligible to apply. The program is structured to support beginners as well as learners from non-technical backgrounds, with guided learning, hands-on projects, and mentorship throughout the program.
No. The program follows an open enrollment model. There is no interview or shortlisting process. Admissions are confirmed upon successful registration and payment, subject to seat availability for the selected cohort.
Students who put in effort and perform well during the program will be eligible for a letter of recommendation and it will be decided by the programme mentor.
Yes, the program includes a variety of hands-on projects to enhance practical understanding of the concepts taught.
The early cohort is offered at a subsidized fee to encourage early participation and to support broader accessibility. This also helps in planning mentorship capacity, project resources, and cohort size effectively.
After completing the registration and payment process, students can expect a confirmation email or offer letter within a week.
If you do not receive a confirmation email within a week, please contact the support team at winterschool@iitjammu.ac.in.
At present, there are no separate scholarships or financial assistance schemes. However, the program fee is already subsidized for the early cohort to ensure broader accessibility. Any applicable fee benefits are clearly communicated on the program page.
- Students may apply for a refund before the start of the program.
- A Full refund will be done if applied before 48 hours of the program starting.
- A 5% processing deduction will be done if applied within 48 hours before the program starts.
- A 10% deduction will be done if applied within first week after the program starts.
- After 1-week of the starting of the program, no refund requests will be entertained.
- For 2-weeks program, no refund requests will be entertained if applied after 2 days of the program starting.
The detailed schedule, including session timings, will be shared before starting of the program. However, the sessions are planned in the evening time only.
All necessary software tools will be provided during the sessions, and assistance for installation will be given. However, a laptop/PC with internet facility is required.
For IoT, you may have to purchase some equipment.
Yes, the seats are filling fast. We'll update on the website when the seats are full.