At Rithm, your learning begins before you even set foot in the classroom. We’ve developed a robust prework to give you a solid understanding of the fundamentals of web development. If you're having trouble finishing it up, don't worry: we'll open our campus for 1 - 2 days the week before class begins, so that you can finish the prework, meet your classmates, and begin to work with your instructors. This way, we can all be sure you’re fully prepared to rock it on the first day of class.
Once you understand how web browsers work, you’ll begin learning about the other piece of the web-development puzzle: server-side programming. Over the next several weeks you’ll build web servers in Python, databases using PostgresSQL, and many full-stack web applications using everything you’ve learned so far. You’ll also learn about the basics of authentication, web security, and web scraping.
After building a larger full-stack application, you'll be ready to learn about more modern design patterns and frameworks. Over the next two weeks, you'll learn more about what single page applications and front-end frameworks are, and you'll begin building your own using React.js. You'll also learn about React Router and Redux, which are both commonly used when building React applications. And you'll learn how to build an API using Node.js, so that you can gain experience in multiple back-end technologies.
Having real-world experience is essential both for your own learning and for your eventual job search. Because of this, students at Rithm spend nearly a month working on projects with different organizations in the Bay Area. You could be working on a large existing codebase, or building something brand new for external stakeholders. Either way, you'll learn a lot about working in a team and writing readable, maintainable code. You'll also get the opportunity to work on two projects over the four week span: two weeks per project. It's a busy month, but it's also an incredible learning experience.
Before you start your job search, we’ll help solidify your computer science knowledge. By this time you will have already done over 100 timed coding challenges covering essential problem solving techniques and patterns like recursion, frequency counters, multiple pointers, sliding window, divide and conquer, dynamic programming, and much more. You'll review all of these strategies, including concepts like Big O Notation, data structures and algorithms. During this time, you'll also finalize your resume and meet 1:1 with instructors and an outcomes manager. Lectures will be focused on excelling in take-home challenges and on-site interviews, including trickier conceptual questions on systems design and architecture. Before you leave, we'll start sending out your profile to our network of hiring partners in order to build momentum in your job search.