Training & Workshop on AI & Machine Learning
Training & Workshop on AI & Machine Learning
Key Highlights & Technical Capabilities
Deep Neural Networks (PyTorch)
Build, train, and backpropagate deep neural networks with GPU acceleration, transfer learning, and regularization.
Computer Vision & YOLOv8
Real-time object detection, segmentation, and facial recognition using OpenCV and state-of-the-art YOLO architectures.
Edge AI & Optimization
Quantize and optimize deep models using TensorRT and ONNX for real-time deployment on edge devices like Jetson and Raspberry Pi.
Program Overview
This comprehensive workshop equips engineering undergraduates and postgraduate researchers with real-world AI and deep learning competencies. Moving beyond theory, participants train and optimize state-of-the-art computer vision models, build transformer-based NLP workflows, and deploy models onto edge computing hardware.
Curriculum & Module Roadmap
Python for Data Science & Mathematical Foundations
Vectorized computing with NumPy, data manipulation with Pandas, statistical distributions, gradient descent, and loss optimization.
Supervised & Unsupervised Machine Learning Algorithms
Regression models, classification algorithms, Random Forests, XGBoost, clustering techniques, and model evaluation metrics.
Deep Neural Networks & PyTorch Frameworks
Multi-layer perceptrons, backpropagation, activation functions, regularization, and training deep neural networks with GPU acceleration.
Computer Vision & Object Detection with OpenCV & YOLO
Image processing fundamentals, Convolutional Neural Networks (CNNs), transfer learning, and real-time object detection with YOLOv8.
Natural Language Processing & Transformer Models
Text embeddings, tokenization, transformer architectures, HuggingFace pipeline integration, and fine-tuning LLMs.
Model Optimization, Edge Deployment & Hackathon
Quantization, ONNX / TensorRT conversion, edge inferencing on Raspberry Pi / Jetson, and end-to-end project presentation.
Institutional & Student Deliverables
- Interactive Jupyter notebook lab environments with GPU cloud acceleration support.
- Curated datasets and production-grade starter codebases across vision and NLP domains.
- Verified AI/ML Practitioner Certification co-branded with AxiLearn.
- Post-workshop mentorship for academic publications and competitive hackathons.
Deploy This Program at Your Institution
Book an on-campus demonstration, request turnkey lab setup proposals, or customize syllabi for your department.
