What would you like to learn? Explore our full catalog.

Learn the fundamentals. This course starts from square one, installing Java, and continues through operators, variables, loops, and arrays. This course is the perfect first step for aspiring Java developers.

Learn Object-Oriented Programming in Java. What are Java object? How to use Java classes? This course dives deep into all things OOP: Inheritance, Encapsulation, Polymorphism, and Abstraction. Unlock your OOP skills and level up your programming capabilities.

Learn advanced Java programming concepts including exception handling, multithreading, input/out, generics, lambda expressions, method references, JDBC, and advanced data structures and algorithms.

Learn advanced Java and the Spring Framework to build highly scalable, robust, enterprise-grade Java applications. You'll learn modern development techniques and build dozens of complex applications such as RESTful APIs, dynamic web applications, fool-proof security systems and much more. When you finish this course, you'll be a legitimately capable software developer.

In this first module of the Python course, you'll learn how to code using the Python programming language. You'll get to know some of the fundamental concepts of programming, write procedural scripts, and build interesting projects that can show you the value of knowing how to code.

In this second module of the Python course, you'll learn how to code using the paradigm of procedural programming. You'll get to know additional data types and control structures in Python, learn how to work with functions, and how to use APIs to interact with sources on the Internet.

In this module of the Python course, you'll learn how to write programs using the object-oriented approach to programming. You'll get to know how to model your code around objects and classes and apply this way of programming by building a game. You'll also learn about web scraping, exception handling, and writing tests for your programs.

Learn the foundations of data science and machine learning using Python. Learn how to think like a data scientist, and dive into ever-more advanced analysis and predictive modeling using data and code. Understand what it means to learn from data using ML tools and algorithms. Use real tools and build your experience with Jupyter Lab, Numpy, Matplotlib, Seaborn, Pandas, Scikit Learn, and more.

If you want to get into data science, machine learning or AI, learning NumPy will enable you to build projects using the skills sought after for these roles.

NumPy is the most widely-used Python library for scientific computing. Because of its versatility, NumPy serves as the foundation for many other scientific, data analysis, and machine learning tools such as Pandas, SciPy, Matplotlib, TensorFlow and PyTorch. Build a strong foundation in NumPy, and you'll be well on your way to performing advanced data analysis.

Learn the fundamentals of Deep Learning applications by building, training and deploying PyTorch models from scratch. You’ll work with transfer learning using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) as well as learn how to deploy your models.

Learn Python's popular web framework, Django, and many other concepts you will need to start building complex, dynamic web applications using Python. In this course, you will also use the PostgreSQL database and deploy your applications to the internet using both Microsoft Azure and Heroku.

Build a fun Python project! This Python + Django tutorial series walks you through developing a data streaming and forecasting Python app. By the end of this series, your Django project will showcase real-time soccer (football) match data, predictive analytics, and full-stack deployment using Python, Django, Pandas, JavaScript, PostgreSQL, and AWS.

Learn how to quickly and efficiently build scalable web applications and web services using the Flask Microframework. By the end of this Python + Flask tutorial series, you’ll be ready for Python developer jobs with the ability to build full-stack software applications from scratch. Learn to use Jinja2 and Bootstrap, Flask-SQLAlchemy, RESTful APIs, deployment on Heroku, and more.

Gain strong foundation in core JavaScript. Learn the basics of what JavaScript is, where its run, through the fundamental syntax, events, requests, all the way to dynamic websites that you can host and share with the world.

Learn modern syntax and advanced design patterns for building maintainable websites. You'll start leaning heavily into the world of single-page-applications where JavaScript takes over almost everything.

Learn the fundamentals relational databases and the Structured Query Language (SQL) using MySQL.

Git & GitHub are widely used by software developers, and it's possible to get up and running with the fundamentals within a week. In this introductory Git and GitHub tutorial series, learn how to use version control with Git, and how to use GitHub to collaborate on projects.

This module provides a number of resources to help you find and secure the job you're looking for. Please note, this module is still being published.

Developing comfort and skill with with Bash and the CLI is a critically important skill for every software developer. In this short course, you'll learn the fundamentals of the Bash language and the command line interface (CLI) in general. By the end of this short course, you'll be quite comfortable using the CLI to accomplish whatever tasks come your way as a developer. You'll also just be significantly more productive and capable with your machine.

Learn many of the most common data structures and algorithms, including Arrays, LinkedLists, Stacks, Queues, Hashmaps, and Trees. Dive into sorting algorithms using the bubble sort, insertion sort, selection sort, merge sort, and quick sort.