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.
Python for Data Science and Machine Learning
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.
Mastering Scala: Advanced Techniques and Best Practices
What you'll learn
Building upon your foundational Scala knowledge to explore advanced techniques and best practices.
Understanding functional programming concepts and how they are applied in Scala.
Study of higher-order functions, map/reduce/fold operations, and monads for powerful data manipulation.
Techniques for working with collections, such as Lists, Sets, and Maps, in a functional programming style.
Exploration of pattern matching, case classes, and traits for elegant and concise code organization.
PHP Web Development: Creating Dynamic Websites
What you'll learn
Study of PHP functions for handling form submissions, processing user input, and working with databases.
Techniques for integrating PHP with HTML and CSS to create dynamic web pages.
Exploration of PHP sessions and cookies for managing user interactions and data persistence.
Application of PHP to interact with databases like MySQL for data storage and retrieval.
Practice in building web applications with PHP that respond to user inputs and display dynamic content.
Cross-Platform Mobile Development: Building Apps for Multiple Platforms
What you'll learn
Understanding the challenges and benefits of cross-platform development compared to native app development.
Study of popular cross-platform development frameworks, such as React Native, Flutter, or Xamarin.
Techniques for designing and developing user interfaces that adapt to different mobile devices and operating systems.
Exploration of sharing code and resources across multiple platforms to increase development efficiency.
Application of platform-specific APIs and native modules to access device features and capabilities.
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).
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.
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All Programming Language Courses
Object-Oriented Programming in Java: Building Robust Applications
The “Object-Oriented Programming in Java: Building Robust Applications” course is …
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.
Java Data Structures and Algorithms: Problem-Solving and Optimization
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.
Advanced Ruby Techniques: Best Practices and Design Patterns
“Advanced Ruby Techniques: Best Practices and Design Patterns” is a …
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.
Ruby for Data Science: Analyzing and Visualizing Data
“Ruby for Data Science: Analyzing and Visualizing Data” is a …
What you'll learn
Understanding data manipulation and processing techniques using Ruby's built-in libraries and gems.
Study of data cleaning, transformation, and preparation for analysis.
Techniques for performing statistical analysis and data exploration using Ruby.
Exploration of data visualization tools and libraries in Ruby for creating insightful charts and graphs.
Application of machine learning algorithms and predictive modeling using Ruby.
Practice in handling large datasets and working with data in various formats.
Advanced Go Programming: Best Practices and Concurrency
“Advanced Go Programming: Best Practices and Concurrency” is an in-depth …
What you'll learn
Understanding best practices in Go programming, including code organization, naming conventions, and error handling.
Study of concurrency in Go and how to effectively utilize goroutines and channels for concurrent programming.
Techniques for handling shared resources and synchronizing data access in concurrent Go applications.
Exploration of advanced features in Go, such as interfaces, reflection, and function closures.
Application of design patterns and idiomatic Go programming techniques for cleaner and maintainable code.
Go Programming Fundamentals: Mastering the Basics
“Go Programming Fundamentals: Mastering the Basics” is a comprehensive course …
What you'll learn
Understanding the basics of Go, including variables, data types, and control structures.
Study of Go functions, packages, and modules for code organization and reusability.
Techniques for working with slices, maps, and other data structures in Go.
Exploration of Go's concurrency model and goroutines for concurrent programming.
Application of Go in handling file input/output operations and error handling.
Practice in writing Go programs for real-life applications and problem-solving tasks.
Building Web Applications with Go: Modern Development Techniques
“Building Web Applications with Go: Modern Development Techniques” is a …
What you'll learn
Understanding the basics of Go programming language and how it is used for web development.
Study of web frameworks in Go, such as Gin, Echo, or Beego, for building RESTful APIs and web services.
Techniques for handling routing, middleware, and request/response handling in Go web applications.
Exploration of database integration in Go web applications using SQL or NoSQL databases.
Application of templates and frontend technologies like HTML, CSS, and JavaScript in Go web development.
Mastering Scala: Advanced Techniques and Best Practices
Welcome to “Mastering Scala: Advanced Techniques and Best Practices”! In …
What you'll learn
Building upon your foundational Scala knowledge to explore advanced techniques and best practices.
Understanding functional programming concepts and how they are applied in Scala.
Study of higher-order functions, map/reduce/fold operations, and monads for powerful data manipulation.
Techniques for working with collections, such as Lists, Sets, and Maps, in a functional programming style.
Exploration of pattern matching, case classes, and traits for elegant and concise code organization.
