
Learn to configure and modify sitemaps using Laravel and PHP in under an hour with CodeTime.

Learn to create responsive designs with utility classes, customize typography, build grids, and develop components using this modern CSS framework.

Learn to compile Tailwind CSS efficiently, covering setup, installation, modules, component extraction, and file size optimization for streamlined web development.

Learn to create responsive grid systems using Tailwind's utility classes, from basic layouts to advanced techniques like nested grids and auto-generation.

Learn to create interactive graphics using HTML5 Canvas, integrating Vue and TailwindCSS, and exporting your creations in this comprehensive introduction.

Explore practical Vue.js applications through hands-on demos, covering modals, style binding, CSS filters, and audio integration for enhanced web development skills.

Learn to set up Vue.js projects efficiently using Vue CLI, covering installation, components, TailwindCSS integration, routing, and dynamic features for modern web development.

Learn to manipulate SVG graphics using Vue.js, covering basic animation, character creation, and interface design for interactive and dynamic web graphics.

Learn to integrate Cloud Firestore with Vue CLI, covering setup, data management, and component interaction in this comprehensive tutorial.

Learn to create dynamic, data-driven charts in Laravel using Chart.js and Eloquent, from setup to implementation.

Explore GeoPandas for GIS analysis, automating geo-processing tasks, creating density maps, geocoding, and mapping real-world data like COVID-19 cases using Python.

Learn Julia programming from scratch: variables, arrays, control flow, functions, algorithms, and more. No prior experience needed. Includes practical projects and advanced concepts.

Learn Azure Storage essentials, including access keys, secure signatures, Storage Explorer, and replication strategies for robust cloud data management.

Comprehensive bootcamp covering machine learning and deep learning, from data extraction to model evaluation, using Python, Scikit-learn, and Spark MLlib.

Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.

Learn to implement machine learning algorithms using Spark MLLib, covering linear regression techniques, data preprocessing, model building, and evaluation methods in a hands-on, practical approach.

Explore augmented reality through hands-on Unity projects. Learn to create, manipulate 3D objects, add physics, and deploy AR apps on smartphones using Vuforia.

Comprehensive hands-on introduction to data engineering, covering data lake architecture, Cloudera tools, Apache Sqoop, and practical HDFS and MySQL operations.

Comprehensive introduction to machine learning algorithms, from regression to neural networks, with practical Python implementations and engaging whiteboard explanations for beginners and enthusiasts.

Learn to build 6 AR apps using ARCore and Unity, covering motion tracking, light estimation, hit testing, and advanced features like portals and multiplayer.

Learn to create interactive AR experiences using hand gestures. Build apps that respond to hand movements, from rotating 3D objects to shooting virtual blasts and smashing skulls in Unity.