
Step-by-step guide to train and deploy YOLOv7 object detection on custom datasets using Google Colab's free GPU. Covers model evaluation and inference on images, videos, and webcam.

Comprehensive Python-based OpenCV tutorial covering fundamentals to advanced applications, including face detection, object tracking, and image classification. Ideal for aspiring computer vision professionals.

Learn to build a real-time weed detection model using YOLOR and OpenCV in Python. Extract weed coordinates and implement computer vision techniques for agricultural applications.

Learn to create a Bernie Sanders detector using YOLOv4/v5, OpenCV, and Roboflow. Build datasets, train models, and implement real-time detection on various platforms.

Comprehensive introduction to machine learning theory, covering algorithms, neural networks, and computer vision topics through engaging whiteboard animations designed for beginners.

Build a real-time mask detection access control system using Raspberry Pi, OpenCV AI Kit, and a stepper motor. Learn hardware setup, coding, and dataset annotation with Roboflow for this practical AI application.

Learn to detect chess pieces using YOLOv5 and OpenCV in Python. Explore object detection techniques, train a custom model, and implement computer vision for chess analysis.

Build a real-time social distancing detection system using Raspberry Pi and OpenCV AI Kit. Learn to implement computer vision for monitoring and alerting, with depth capability and high performance on an embedded platform.

Build a real-time AI surveillance camera using Raspberry Pi and OpenCV AI Kit. Detect objects, people, and packages with MobileNet SSD at 30 FPS. Includes hardware setup, coding, and Roboflow integration for custom object detection.

Learn advanced shader techniques for game development, including healthbars, SDFs, lighting models, and PBR, with practical assignments and in-depth explanations of key concepts.

Explore advanced shader techniques including normal maps, tangent space, height maps, and image-based lighting for game development. Learn practical applications and enhance your graphics programming skills.

Comprehensive introduction to shader programming for game developers, covering fundamental concepts, techniques, and practical applications in graphics rendering and visual effects.

Learn to run LLMs locally with Ollama, from installation to Python integration. Explore various models, command-line usage, and script connections for AI-powered applications without relying on external APIs.

Discover 140+ ChatGPT tips for effective prompts, coding, Excel, PowerPoint, marketing, finance, and more. Master advanced techniques and unlock AI's potential across various domains.

Explore practical software engineering techniques for large codebases. Learn to analyze, debug, and design maintainable code. Gain insights into building and sharing programs effectively.

Comprehensive exploration of Knowledge Graphs and GraphDB integration with LangChain, covering implementation techniques and practical applications for advanced data management and AI systems.

Master web development essentials: HTML, CSS, JavaScript, ReactJS, databases, PHP, and AI integration. Build interactive websites and games while learning industry-relevant skills for 2024.

Explore containerization for embedded systems: build a system with container capabilities, fetch containers, create recipes, and build container images using Yocto Project.

Explore Aurora, a groundbreaking foundation model for atmospheric science, and learn its applications in climate modeling and weather prediction.

Develop Ethereum applications using Web3j and Java. Learn architectural overview, project creation, deployment, smart contract interaction, testing, and transaction types in this hands-on workshop.

Deploy Hyperledger Fabric networks in Kubernetes using Bevel Operator Fabric 1.10.0. Learn new features and step-by-step deployment process for blockchain networks, suitable for beginners and experienced users.