Intensive learning experience in computational intelligence and LLMs from leading researchers worldwide
Organized & Supported By
The IEEE Computational Intelligence Society Summer School is a flagship educational initiative designed to advance knowledge and skills in computational intelligence. Our mission is to provide a transformative learning experience that bridges the gap between theoretical foundations and practical applications.
We bring together leading researchers, industry practitioners, and emerging talent to explore the frontiers of fine-tuning large language models, inference optimization, neural networks, and model compression. Through intensive hands-on training, mentorship, and collaborative learning, we empower participants to advance their careers and contribute to state-of-the-art AI development.
Learn from leading researchers and industry experts with decades of combined experience in computational intelligence and machine learning.
Cover core foundations to cutting-edge techniques: LoRA/QLoRA, SFT, DPO/RLHF, Quantization, Distillation, and high-throughput vLLM serving.
Participate in intensive practical labs using industry-standard tools like Python, PyTorch, HuggingFace, and vLLM on high-performance compute.
Connect with passionate peers, build lasting research relationships, and expand your network within the global IEEE community.
Earn an official certificate of completion from the IEEE Computational Intelligence Society, validating your specialized training.
Develop production-grade engineering skills that open doors to high-impact roles in research labs and AI engineering teams.
The IEEE CIS Summer School is held annually, establishing itself as a premier educational event in computational intelligence. Over the years, the program has trained hundreds of researchers and practitioners who have gone on to impactful positions in academia and industry.
Our 2026 edition hosted at PCCoE Pune focuses specifically on the breakthrough developments in Large Language Models, Fine-Tuning methodologies, and Inference Optimization, uniting theory and real-world system implementations.
Intensive Days
Selected Seats
Expert Instructors
Lab Hours