Most popular
C# Basics for Beginners
What you'll learn
Develop a solid understanding of C# programming language and its syntax.
Learn to use variables, data types, control structures, and arrays to build functional programs.
Acquire the basics of object-oriented programming (OOP) to create modular and maintainable code.
Artificial Intelligence & Machine Learning
What you'll learn
Develop a strong understanding of AI and machine learning concepts, algorithms, and applications.
Learn to preprocess data, build predictive models, and analyze large datasets using machine learning techniques.
Acquire the skills to implement and deploy AI solutions for real-world applications.
Angular – The Complete Guide (2023 Edition)
What you'll learn
Learn how to build dynamic, modern web applications using Angular, a powerful and popular front-end framework.
Master the fundamentals of Angular, including components, services, modules, templates, and data binding.
Understand how to create reactive user interfaces and handle user interactions with Angular.
Explore advanced topics such as routing, forms, HTTP client, and authentication in Angular applications.
Gain practical experience by building real-world projects and applying the concepts learned throughout the course.
Java Data Structures and Algorithms: Problem-Solving and Optimization
What you'll learn
Study of fundamental algorithms, including searching, sorting, and recursive techniques.
Techniques for analyzing the time and space complexity of algorithms to measure efficiency.
Exploration of advanced data structures like hash tables and heaps for optimized data management.
Application of algorithms for graph traversal, dynamic programming, and greedy approaches.
Practice in implementing data structures and algorithms in Java to solve real-world problems.
Consideration of best practices and optimization techniques in Java programming.
Python for Artificial Intelligence and Machine Learning
What you'll learn
Study of popular Python libraries for AI and ML, such as TensorFlow, PyTorch, and Scikit-learn.
Techniques for data preprocessing, feature engineering, and data visualization in Python for ML tasks.
Exploration of different ML algorithms, including regression, classification, clustering, and neural networks.
Application of Python in creating AI-driven applications, such as natural language processing and computer vision systems.
Practice in implementing ML models for tasks like image recognition, sentiment analysis, and recommendation systems.
Advanced Kotlin Programming: Mastering Language Features and Best Practices
What you'll learn
Building upon your foundational Kotlin knowledge to explore advanced language features and best practices.
Understanding Kotlin's powerful features, such as extension functions, data classes, and sealed classes.
Study of advanced functional programming concepts, including higher-order functions and lambda expressions in Kotlin.
Techniques for working with coroutines and concurrency in Kotlin for efficient and responsive applications.
Exploration of Kotlin's DSL (Domain-Specific Language) capabilities for creating domain-specific and expressive code.
Laravel Framework: Building Modern PHP Applications
What you'll learn
Study of the Eloquent ORM (Object-Relational Mapping) for database interactions in Laravel.
Techniques for creating and managing views using Blade templating engine in Laravel.
Exploration of Laravel's built-in features for authentication and user management.
Application of middleware and validation in building secure and robust applications.
Practice in implementing CRUD (Create, Read, Update, Delete) operations with Laravel.
Consideration of Laravel's support for RESTful APIs and web services integration.
Artificial Intelligence: Reinforcement Learning in Python
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Advanced Ruby Techniques: Best Practices and Design Patterns
What you'll learn
Study of design patterns and how they can be applied in Ruby to solve common software design problems.
Techniques for using metaprogramming and dynamic features of Ruby to write flexible and expressive code.
Exploration of advanced Ruby features such as closures, blocks, and modules for code reusability and extensibility.
Application of object-oriented design principles in Ruby to create scalable and maintainable software.
Practice in using Ruby gems and libraries to extend the functionality of Ruby applications.
Consideration of performance optimization and error handling in advanced Ruby programming.
Python for Game Development: Creating Interactive Games
What you'll learn
Study of Python game development libraries and frameworks, such as Pygame and Panda3D.
Techniques for creating 2D and 3D games using Python.
Exploration of game mechanics, game physics, and collision detection in Python games.
Application of Python in developing various types of games, such as platformers, puzzles, and simulations.
Practice in implementing game features like game characters, levels, and scoring systems.
Consideration of game design principles and best practices in Python game development.
Trending
Angular – The Complete Guide (2023 Edition)
What you'll learn
Learn how to build dynamic, modern web applications using Angular, a powerful and popular front-end framework.
Master the fundamentals of Angular, including components, services, modules, templates, and data binding.
Understand how to create reactive user interfaces and handle user interactions with Angular.
Explore advanced topics such as routing, forms, HTTP client, and authentication in Angular applications.
Gain practical experience by building real-world projects and applying the concepts learned throughout the course.
Android Java Masterclass – Become an App Developer
What you'll learn
The basics of the technology
Background behind the technology.
The advantages of mobile apps
Cover basics as well as advanced concepts and technologies.
Artificial Intelligence: Reinforcement Learning in Python
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Artificial Intelligence & Machine Learning
What you'll learn
Develop a strong understanding of AI and machine learning concepts, algorithms, and applications.
Learn to preprocess data, build predictive models, and analyze large datasets using machine learning techniques.
Acquire the skills to implement and deploy AI solutions for real-world applications.
C# Basics for Beginners
What you'll learn
Develop a solid understanding of C# programming language and its syntax.
Learn to use variables, data types, control structures, and arrays to build functional programs.
Acquire the basics of object-oriented programming (OOP) to create modular and maintainable code.
Learn Python Programming Masterclass
What you'll learn
Strong foundation on the basics of C# programming language and coding constructs.
More confident to learn advanced C# programming concepts.
Be ready to begin your career as a C# .NET programmer
Unreal Engine C++ Developer: Learn C++ and Make Video Games
What you'll learn
Test your knowledge with concepts you've just learned.
Build two commercial quality games: a 2D Galaxy Shooter Game and cinematic effects, and a 3D
Get access to the unique artwork
Web Development with Python and Django
What you'll learn
Understanding the basics of web development, including HTTP, URLs, and client-server architecture.
Study of Django's architecture, including models, views, and templates for building web applications.
Techniques for creating dynamic web pages using Django's template language.
Exploration of Django's built-in authentication system and user management features.
Application of Django's ORM (Object-Relational Mapping) for interacting with databases.
Practice in building web applications with Django, including handling forms, user input, and data processing.
JavaScript Frameworks: Exploring React, Angular, and Vue
What you'll learn
Study of the component-based approach in React and Vue, and the module-based approach in Angular.
Techniques for building user interfaces and handling data binding in each framework.
Exploration of the virtual DOM concept in React and Vue for efficient rendering.
Application of state management techniques, such as Redux in React and Vuex in Vue.
Practice in creating dynamic and interactive web applications using each framework.
Java Data Structures and Algorithms: Problem-Solving and Optimization
What you'll learn
Study of fundamental algorithms, including searching, sorting, and recursive techniques.
Techniques for analyzing the time and space complexity of algorithms to measure efficiency.
Exploration of advanced data structures like hash tables and heaps for optimized data management.
Application of algorithms for graph traversal, dynamic programming, and greedy approaches.
Practice in implementing data structures and algorithms in Java to solve real-world problems.
Consideration of best practices and optimization techniques in Java programming.
Popular Instructors
All Programming Language Courses
Python Fundamentals: A Comprehensive Introduction
“Python for Beginners: A Comprehensive Introduction” is a carefully designed …
What you'll learn
Understanding Python's syntax, data types, variables, and control structures.
Study of Python functions, modules, and packages for code organization and reusability.
Techniques for working with strings, lists, dictionaries, and other data structures in Python.
Exploration of file handling and input/output operations in Python.
Application of Python in solving programming challenges and exercises.
Practice in writing Python programs for real-life applications and problem-solving tasks.
Mastering Python: Advanced Concepts and Techniques
“Mastering Python: Advanced Concepts and Techniques” is an in-depth course …
What you'll learn
Study of decorators, generators, and context managers to enhance code modularity and functionality.
Techniques for working with object-oriented programming (OOP) principles, inheritance, and polymorphism in Python.
Exploration of functional programming concepts, including lambda functions and map/reduce/filter operations.
Application of advanced Python libraries and frameworks for specific tasks, such as web development, data analysis, or scientific computing.
Practice in solving complex problems and implementing sophisticated algorithms using Python.
Python for Data Science and Machine Learning
“Python for Data Science and Machine Learning” is a comprehensive …
What you'll learn
Study of data preprocessing techniques, such as cleaning, transforming, and handling missing data.
Techniques for exploratory data analysis (EDA) to gain insights and understanding from datasets.
Exploration of supervised and unsupervised machine learning algorithms using Python's Scikit-learn library.
Practice in evaluating model performance and tuning hyperparameters for optimal results.
Python for Artificial Intelligence and Machine Learning
Python for Artificial Intelligence and Machine Learning” is a comprehensive …
What you'll learn
Study of popular Python libraries for AI and ML, such as TensorFlow, PyTorch, and Scikit-learn.
Techniques for data preprocessing, feature engineering, and data visualization in Python for ML tasks.
Exploration of different ML algorithms, including regression, classification, clustering, and neural networks.
Application of Python in creating AI-driven applications, such as natural language processing and computer vision systems.
Practice in implementing ML models for tasks like image recognition, sentiment analysis, and recommendation systems.
Python for Game Development: Creating Interactive Games
Python for Game Development: Creating Interactive Games” is a comprehensive …
What you'll learn
Study of Python game development libraries and frameworks, such as Pygame and Panda3D.
Techniques for creating 2D and 3D games using Python.
Exploration of game mechanics, game physics, and collision detection in Python games.
Application of Python in developing various types of games, such as platformers, puzzles, and simulations.
Practice in implementing game features like game characters, levels, and scoring systems.
Consideration of game design principles and best practices in Python game development.
Python for Network Programming: Building Networking Tools and Applications
“Python for Network Programming: Building Networking Tools and Applications” is …
What you'll learn
Study of Python's built-in libraries and modules for network communication, such as sockets and HTTP requests.
Techniques for building networking tools, like port scanners, packet sniffers, and network analyzers.
Exploration of Python frameworks for web scraping and data retrieval from the internet.
Application of Python in creating client-server applications and handling network connections.
Practice in developing networking applications for tasks like file transfer, remote command execution, and chat systems.
Advanced JavaScript Techniques: Deep Dive into Modern Concepts
In this comprehensive course, you will embark on an exploration …
What you'll learn
Understanding asynchronous programming and using Promises and async/await for efficient handling of asynchronous operations.
Study of functional programming principles and how to use higher-order functions and closures effectively.
Techniques for working with modern JavaScript features, such as arrow functions, template literals, and destructuring.
Exploration of JavaScript modules and how to organize code using module systems like CommonJS and ES modules.
Secure JavaScript Development: Best Practices for Web Security
In the digital age, web security is of utmost importance …
What you'll learn
Understanding common web security vulnerabilities in JavaScript, such as Cross-Site Scripting (XSS) and Cross-Site Request Forgery (CSRF).
Study of best practices for validating and sanitizing user input to prevent security breaches.
Techniques for securely handling sensitive data and user authentication in JavaScript applications.
Exploration of JavaScript security libraries and frameworks to enhance code security.
Application of secure coding practices to avoid security pitfalls in JavaScript development.
Practice in writing secure JavaScript code for front-end and back-end applications.
