INTERNATIONAL
SUMMER SCHOOL
15-Day intensive International Summer School on Generative AI. Master LLMs, Prompt Engineering, and build production-ready AI applications.
Mastering the era of
Generative Models.
Generative AI is reshaping industries, from creative arts to complex software engineering. This comprehensive 15-day summer school is designed to bridge the gap between theoretical knowledge and practical application.
Organized by the Department of CST & CSE(AIML) at JIS College of Engineering, participants will engage in hands-on workshops, build live projects, and interact with leading industry experts.
Program Features.
Hands-on Training on Generative AI Tools
Practical sessions using the latest Generative AI platforms and APIs.
Introduction to Large Language Models (LLMs)
Understand the architecture, capabilities, and mechanics behind LLMs.
Prompt Engineering Techniques
Master the art of crafting effective prompts to maximize AI output quality.
AI Chatbot Development
Build and deploy intelligent conversational agents from scratch.
Text, Image, and Code Generation
Generate multi-modal content and functional code using advanced models.
Real-world Gen AI Applications
See how Generative AI is transforming various domains and industries.
Mini Projects and Case Studies
Work on mini-projects and analyze real-world AI implementations.
Research and Publication Guidance
Learn how to conduct AI research and publish findings in reputed journals.
Exposure to Industry Use Cases
Gain insights into how top tech companies integrate AI into workflows.
E-Certificate upon Successful Completion
Receive an official certificate of completion at the end of the program.
Detailed Syllabus.
Module 1: Introduction to Artificial Intelligence and Gen AI
- Evolution of Artificial Intelligence
- Introduction to Generative AI
- Traditional AI vs Generative AI
- Applications of Gen AI
- Future Scope and Industry Trends
Module 2: Fundamentals of Machine Learning and Deep Learning
- Basics of Machine Learning
- Neural Networks and Deep Learning
- NLP Fundamentals
- Transformers and Attention Mechanism
- Introduction to Foundation Models
Module 3: Large Language Models (LLMs)
- Understanding LLM Architecture
- GPT, Gemini, Claude, LLaMA, and Open-source Models
- Tokenization and Embeddings
- Fine-tuning Concepts
- Limitations and Challenges of LLMs
Module 4: Prompt Engineering
- Basics of Prompt Engineering
- Zero-shot and Few-shot Prompting
- Chain-of-Thought Prompting
- Role-based Prompting
- Prompt Optimization Techniques
- Hands-on Prompt Design
Module 5: AI Chatbots and Conversational AI
- Evolution of Chatbots
- Designing Conversational Flows
- Building Chatbots using APIs
- LangChain and Vector Databases
- Deploying AI Assistants
Module 6: Text Generation and NLP Applications
- Content Creation (Blogs, Articles)
- Summarization and Translation
- Code Generation and Debugging
- Sentiment Analysis and Text Classification
Module 7: Image Generation Models
- Introduction to DALL-E, MidJourney, Stable Diffusion
- Text-to-Image Generation
- Image-to-Image Translation
- Prompting for Visuals
- Ethical Concerns in Image Gen AI
Module 8: Real-World Applications of Gen AI
- Gen AI in Healthcare
- Gen AI in Finance
- Gen AI in Marketing and Design
- Gen AI in Software Development
- Case Studies
Module 9: Hands-on Projects
- Project 1: Custom AI Chatbot
- Project 2: Content Generation Tool
- Project 3: AI-powered Image Editor
Module 10: AI Ethics, Security, and Future Directions
- Bias and Fairness in AI
- Deepfakes and Misinformation
- Data Privacy and Security
- Regulations and Guidelines
- The Future of AGI (Artificial General Intelligence)
Module 11: Research and Publication Guidance
- Formulating Research Problems in AI
- Literature Review Techniques
- Drafting Research Papers
- Identifying Reputed Journals (SCI/Scopus)
- Responding to Reviewer Comments
Module 12: Capstone Project and Evaluation
- Project Presentation
- Evaluation and Feedback
- Q&A Session
- Certificate Distribution
- Valedictory Ceremony
Voices from the frontier.
Manasa Devadas
Microsoft
Banashri Gogoi
Conduent
Asma Sbai
Cadi Ayyad University
Dr. AKM Bahalul Haque
Åbo Akademi University
Suvendu Chand
Action for Policy & Economic Growth
Atul Joshi
Nokia
Iqbal Khan
Robert Bosch
Dr. Anu Sayal
Taylor's University
Dr. Shruti Gulati
Pure Learning Education & Research Training
Dr. Ritesh Ranjan
Jagran Lakecity University
Dr. Neetu Bali Kamra
IBM / SAP
Divya Singh
SAP Lab
Vivek Pemawat
Acceldata
Rana Dutta
Quantum Tiger
Oishila Bandhyopadhyay
IIIT Kalyani
Manasa Devadas
Microsoft
Banashri Gogoi
Conduent
Asma Sbai
Cadi Ayyad University
Dr. AKM Bahalul Haque
Åbo Akademi University
Suvendu Chand
Action for Policy & Economic Growth
Atul Joshi
Nokia
Iqbal Khan
Robert Bosch
Dr. Anu Sayal
Taylor's University
Dr. Shruti Gulati
Pure Learning Education & Research Training
Dr. Ritesh Ranjan
Jagran Lakecity University
Dr. Neetu Bali Kamra
IBM / SAP
Divya Singh
SAP Lab
Vivek Pemawat
Acceldata
Rana Dutta
Quantum Tiger
Oishila Bandhyopadhyay
IIIT Kalyani
Summer School Fees.
Complete access to the 15-day Generative AI program, hands-on labs, and certification.
Complete access to the 15-day Generative AI program, hands-on labs, and certification.
Complete access to the 15-day Generative AI program, hands-on labs, and certification.
Complete access to the 15-day Generative AI program, hands-on labs, and certification.
Limited seats.
Per batch.
Click below to secure your spot for the 2026 cohort.
Meet the Team.
Dr. Manish Mukul Das
Dr. Sayan Chakraborty
Dr. Abhisek Roy
Mr. Abhisek Hazra
Mr. Arnab Kumar Das