All current Computer Science Courses courses in 2024
3161 कोर्स
Advanced Deep Learning Architectures
Master advanced deep learning architectures including Transformers, Diffusion Models, and LLMs. Fine-tune billion-parameter models on consumer GPUs using LoRA, QLoRA, and efficient training techniques.
Deep Learning for Computer Vision: Techniques & Applications
Master deep learning for computer vision using PyTorch—build CNNs, implement VGG, ResNet, YOLO, and U-Net, and tackle object detection and image segmentation with real datasets.
Foundations of Industrial IoT Devices, Data Flow, & Security
Explore the foundations of Industrial IoT, covering devices, data flow, industrial protocols, and cybersecurity practices to secure and support smart industrial environments.
Practical AI for Social Impact
Gain foundational AI skills—machine learning, reinforcement learning—while tackling social impact challenges like data scarcity, bias, and ethical deployment to optimize resource distribution and drive systemic change.
Deep Learning: Advanced Backbones and Efficient GPU Training
Master advanced deep learning backbones—ConvNeXt, Vision Transformers, RoPE, SwiGLU—and efficient GPU training with PyTorch Lightning, mixed precision, and W&B experiment tracking.
Building an Image Generation Web Application With Go and Gemini
Explore building a full-stack image generation web app using Go, HTML, CSS, and JavaScript, integrating AI-powered APIs with dynamic UI, tab navigation, and user history features.
Information System for Innovation
Explore how information systems drive innovation across industries like healthcare, finance, and retail, leveraging AI, IoT, Blockchain, and design thinking to build agile, data-driven organizations.
RAG Systems and Production Operations
Master RAG systems from foundational architecture to production-grade deployment, implementing Self-RAG, Corrective RAG, secure vector DBs, and optimized pipelines for enterprise AI applications.
Advanced Model Architectures & Language AI
Master advanced AI techniques including decision trees, ensemble methods, neural networks, LLMs, and RAG chatbots to build and deploy production-ready machine learning solutions.
Deep Learning in Material Science and Engineering: From Concepts to Applications
Explore Deep Learning applications in Material Science, from concepts to hands-on projects. Build intuition, apply models to data, and create a portfolio showcasing skills in material design and property prediction.
Intelligent and Smart Buildings in the Context of Futuristic Architecture
Explore the intersection of Futurist Architecture and smart buildings, covering Antonio Sant'Elia's vision, IoT, AI, and sustainable design to shape innovative built environments.
AI Systems Design: RAG Pipelines and LLM Architecture
Master enterprise-grade RAG pipelines and LLM architecture—from problem scoping and data strategy to building end-to-end retrieval-augmented generation prototypes with Streamlit UI.