Most popular
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.
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.
C++ Game Development: Creating Interactive Games
What you'll learn
Understanding the basics of C++ programming language and how it is used in game development.
Study of game loops, rendering, and input handling in C++ for creating real-time interactive experiences.
Techniques for managing game assets, such as images, sounds, and animations, using C++ libraries.
Exploration of game physics and collision detection algorithms for realistic gameplay.
Application of C++ in developing 2D and 3D games with graphical user interfaces.
Practice in implementing game mechanics, user interfaces, and game logic in C++.
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.
Intermediate
Functional Programming with Scala: Unlocking the Power of Purely Functional Paradigm
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Functional Programming with Scala: Unlocking the Power of Purely Functional Paradigm
What you'll learn
Understanding the basics of functional programming concepts, such as immutability, higher-order functions, and pure functions.
Study of functional data structures and operations, such as map, filter, and reduce, in Scala.
Techniques for using recursion and tail-call optimization in functional programming.
Exploration of monads, functors, and applicatives for composing functional code.
Application of functional programming in solving real-world problems and implementing domain-specific languages (DSLs).
Advanced PHP Techniques: Best Practices and Design Patterns
What you'll learn
Understanding best practices in PHP development, including code organization, naming conventions, and error handling.
Study of design patterns such as Singleton, Factory, and MVC (Model-View-Controller) for effective application architecture.
Techniques for implementing object-oriented programming (OOP) concepts in PHP.
Exploration of PHP namespaces and autoloading to enhance code modularity.
Application of PHP frameworks and libraries to streamline development and adhere to best practices.
Object-Oriented Programming in Java: Building Robust Applications
What you'll learn
Understanding the core concepts of OOP, such as classes, objects, inheritance, encapsulation, and polymorphism.
Study of Java language syntax, data types, control structures, and object creation.
Techniques for designing and implementing robust and scalable Java applications using OOP principles.
Exploration of advanced Java features, including interfaces, abstract classes, and exception handling.
Application of design patterns for efficient software architecture and code reusability.
Practice in using Java's built-in libraries and APIs to enhance application functionality.
Python for Automation: Building Efficient Scripts and Tools
What you'll learn
Study of Python's standard library and external modules for automating various tasks.
Techniques for automating file handling, data processing, and system operations using Python.
Exploration of web scraping and automation of web interactions with Python.
Application of Python in creating custom tools and utilities for specific automation needs.
Practice in building efficient scripts to automate workflows and increase productivity.
Consideration of best practices for error handling, logging, and maintenance in Python automation.
Kotlin Fundamentals: Building Modern Applications from Scratch
What you'll learn
Study of Kotlin functions, classes, and object-oriented programming (OOP) principles.
Techniques for working with collections, lambdas, and higher-order functions in Kotlin.
Exploration of Kotlin's null safety features for robust and reliable code.
Application of Kotlin in building interactive user interfaces and handling user input.
Practice in implementing data storage and retrieval using databases and other data sources in Kotlin.
Consideration of best practices and coding conventions for writing clean and efficient Kotlin code.
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 & 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.
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.
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.
