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Software Engineering Capstone
Develop industry-level working applications to showcase in your professional portfolio
Qualification
Duration
Commitment
Skill Level
Delivery
Start Date
Led By
Features
Value
Showcase your software engineering mastery
Your software engineering journey culminates in a comprehensive capstone project
This is your opportunity to bring together all the skills and knowledge you’ve acquired to build a full-stack application that solves a real-world business problem. You’ll be expected to design and develop a complete solution, integrating front-end, back-end, and database components into a seamless, functional product. This capstone project will not only demonstrate your technical prowess but also provide you with a portfolio piece that highlights your ability to deliver industry-standard solutions, making you a standout candidate in the job market.
The U of U // Flatiron School difference
Be mentored by a world-class software engineer
Train on industry-standard software and gain production experience
Small group classes (max 5 students)
100% online programs
Career services built-in
Career services is included with each capstone and bootcamp program. Designed by and for tech professionals, you'll experience a full technical interview process from start to finish, getting direct and personalized feedback each step of the way. Visit the career services page to learn more about the full process.
Program prerequisites: Software Engineering Essentials, Software Engineering Foundations I, Software Engineering Foundations II
Curriculum
Showcase your full-stack skillset
Software Engineering Capstone - 15 weeks
In this intensive course you will be tasked with developing 3 different projects. In these projects you will be expected to frame your projects around solving a business problem. You will be expected to bring all your skills from foundations together to build a full stack app with react frontend, flask backend, and relational database.
What you'll do:
- Build a full stack application with industry standard technical components
- Apply programmatic thinking process to full stack development projects
- Integrate a industry standard methodologies to develop a full stack application projects
- Execute programmatic thinking and technical components to develop projects framed around business problems
Tuition
Upfront - Save 8%
$5,200
Pay as You Go
$5,700
3 monthly payments of $1,900
FAQs
Yes. The AI & Data Science Certificate (Part-Time) is designed exactly for this. At 20 hours per week over 15 months, you can stay fully employed while building AI fluency at a sustainable pace. It’s built for working professionals who want to upskill into AI and add technical depth to an existing career without stepping away from their current role.
Flatiron facilitates the employer match. You’ll work approximately 20 hours per week in a production-aligned environment alongside your coursework. Apprenticeships are paid and supervised by a workplace supervisor.
If you have production coding experience – frontend, backend, or full-stack, and you feel the pressure of AI reshaping what it means to be a strong engineer, you likely qualify. This isn’t a beginner course; it’s a rigorous upskilling path for engineers who don’t want to lose momentum. Speak with an Admissions rep to confirm. If you don’t have that background, the Work-Integrated: AI Engineering Immersive is the right work-integrated option for you.
Most programs have no prerequisites. You just need to be 18+, have a high school diploma or equivalent, and have English proficiency. Whether you’re a recent grad, someone transitioning from a non-technical field, or a working professional looking to pivot, you’re eligible. The one exception is the Accelerated AI Engineering Immersive, which requires existing software engineering experience (midlevel or higher) because it’s built for engineers who are already in production environments.
Certificate programs are purely educational. You learn, build a portfolio, and graduate ready for the job search. If you’re entering the workforce or transitioning from a non-technical field and want a clear, structured path, this is for you. Work-integrated programs combine coursework with a paid apprenticeship, so you gain work experience and income during the program. This is a strong fit for professionals who need income continuity during a pivot, or experienced engineers who want production AI exposure from day one. Both award the same professional certificate upon completion.
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