Software Engineering

Software engineering focuses on low-level programming, operating systems, and understanding at a fundamental level how a computer operates. From there, students move on to specialize in a modern programming language and can choose from C++, Rust, Go, or Java.

AI/Machine Learning

AI/Machine Learning engineering focuses on predictions, optimizing and improving the predictions, and early deep learning. Students will complete thesis or projects in Natural Language Processing, computer vision, Agentic AI, or AI applications, and have the ability to customize their focus area within the AI/ML field.

Full Stack Development

Full Stack engineering focuses on both the front-end and back-end. Students gain skills and experiences in both, focusing on both modern languages and also common databases. Cover significant amounts of data structures and algorithms, and have the opportunity to build 5 significant full stack projects in addition to the Capstone.

Morning Standup

Daily standup meetings are conducted to kick off the day, Learners share progress since last session, discuss roadblocks, and brainstorm solutions, fostering support and goal clarity. Facilitated by program managers, these meetings ensure everyone shares updates, mirroring industry practices.

Live Coding Sessions

As part of the group session, a learner will tackle a coding problem, sharing their thought process to the group, inviting discussion and alternative solutions.

Collaborative Coding Workshop

Students collaborate in small groups on unique timed coding challenges. Results are shared and then to reinforce their grasp of terminology and potential interview questions, a quick ‘Skills Check’ quiz is presented.

Weekly Technical Presentation

Explore industry-relevant technical subjects that are not typically addressed in projects. Activities range from individual presentations to  group work completing “new technology canvas” worksheets followed by brief presentations.

Engineering Case Studies

A case study is selected in advance that aligns with the program’s curriculum, learning objectives, and student expertise levels, ensuring a variety of topics. Following this, we engage in reading, analyzing, and discussing business challenges and data privacy issues, etc. fostering collaboration and diverse viewpoints.

Pair Programming Pods

A collaborative workspace where two learners work together on the same project. Partners can readily share ideas, solve problems, and learn from each other’s coding skills.

Silicon Valley Standards

We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.

Technical Skills & Knowledge

Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.

Strong Python Skills

The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.

Depth of Portfolio

Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.