Events
BML Munjal University, Haryana (19 January 2026 - 23 January 2026) -
𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗼𝗻 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗮𝘁 𝗕𝗠𝗟 𝗠𝘂𝗻𝗷𝗮𝗹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, 𝗚𝘂𝗿𝘂𝗴𝗿𝗮𝗺
We successfully concluded a comprehensive, hands-on training program at 𝗕𝗠𝗟 𝗠𝘂𝗻𝗷𝗮𝗹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, focused on cutting-edge advancements in AI, deep learning and accelerated computing, post installing their NVIDIA AI Lab comprising of the powerhouse that is 𝗡𝗩𝗜𝗗𝗜𝗔'𝘀 𝗗𝗚𝗫 𝗛𝟮𝟬𝟬.
The program was designed to bridge the gap between academia and industry, equipping participants with practical skills for modern AI deployment, optimization and scalable infrastructure.
Key Highlights of the Program –* 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗪𝗼𝗿𝗸𝗹𝗼𝗮𝗱𝘀 – Deploying and managing AI/ML pipelines at scale with GPU scheduling and cloud-native best practices.
* 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 – Mixed precision, batching, inference acceleration and performance tuning.
* 𝗩𝗶𝗱𝗲𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗗𝗞 – Building real-time pipelines for object detection, tracking and intelligent video analytics.
* 𝗧𝗿𝗶𝘁𝗼𝗻 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗦𝗲𝗿𝘃𝗲𝗿 – Efficient multi-framework model serving with dynamic batching and benchmarking.
* 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 – Parameter-efficient fine-tuning, prompt tuning and domain adaptation.
* 𝗡𝗩𝗜𝗗𝗜𝗔 𝗡𝗜𝗠 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 – Simplifying GenAI deployment with optimized inference microservices.
* 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 – Designing retrieval-augmented generation systems using embeddings, vector databases and LLMs.
* 𝗗𝗮𝘁𝗮-𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 – Leveraging GPUs and AI for simulation, analytics and scientific discovery.
𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 - 𝘗𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵𝘴 𝘨𝘢𝘪𝘯𝘦𝘥 :
- Hands-on exposure to industry-relevant AI platforms and tools
- A strong understanding of scalable AI deployment and optimization
- Real-world experience across vision AI, LLMs and data science use cases The program empowered 𝗳𝗮𝗰𝘂𝗹𝘁𝘆 𝗺𝗲𝗺𝗯𝗲𝗿𝘀 𝗮𝗻𝗱 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 with future-ready skills aligned to the evolving demands of 𝗔𝗜, 𝗰𝗹𝗼𝘂𝗱-𝗻𝗮𝘁𝗶𝘃𝗲 𝗰𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝘀𝗰𝗶𝗲𝗻𝗰𝗲. A big thank you to 𝗕𝗠𝗟 𝗠𝘂𝗻𝗷𝗮𝗹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 for the collaboration and enthusiastic participation!
