Build a Career in Software Engineering

Flatiron provides a clear, credible path into Software Engineering. No apprenticeship required. Designed for those looking to transition into junior software engineering or full-stack development roles.

Two Options

The structured path from foundational literacy to engineering roles.

Full Time Certificate

4 months | Effective cost: $14,900

Able to commit full-time during program duration.

Project-based learning and designed to build job-ready skills.

Full-stack development: JavaScript, React, Python, databases, and a capstone you can show employers.

Weekly hours: 40 hrs/week

Part Time Certificate

15 months | Effective cost: $14,900

Able to commit 15-20 hours per week consistently.

Project-based learning and designed to build job-ready skills.

Full-stack development: JavaScript, React, Python, databases, and a capstone you can show employers.

Weekly hours: 20 hrs/week

Curriculum Overview

Industry-approved curriculum to support your journey into Software Engineering.

  • Software Engineering Fundamentals
    • Apply logical problem-solving techniques to design software
      solutions for real-world use cases
    • Use JavaScript to implement technical solutions that address
      business and user requirements
    • Write clean, structured code and collaborate using core
      developer tools and workflows
  • Front-End Development: Javascript Fundamentals
    • Apply programmatic thinking to design and build interactive
      JavaScript applications
    • Use core JavaScript concepts, including functions, data
      structures, and asynchronous programming
    • Develop and test a command-line application with a focus
      on user interaction and clean logic
  • Front-End Development: Javascript Interactions
    • Build interactive web pages using JavaScript, HTML, and CSS
    • Manipulate the DOM and manage asynchronous interactions
      between client and server
    • Apply a structured development process to design,
      implement, and refine user interfaces
  • Front-End Development: React 1
    • Apply component-based thinking to design and implement
      front-end interfaces with React
    • Build reusable UI components using modern JavaScript and
      industry-standard design practices
    • Translate visual mock-ups into structured, maintainable
      React components
  • Front-End Development: React 2
    • Integrate multiple React components into a cohesive,
      interactive application
    • Manage application state and user interactions across
      complex component trees
    • Apply industry-standard front-end patterns to build
      maintainable, user-focused React apps
  • Introduction to Python
    • Apply foundational programming concepts in Python to solve
      real-world problems
    • Write and organize Python scripts using functions, loops, and
      core data structures
    • Use Python libraries to manipulate and analyze data
  • Object Oriented Programming with Python
    • Apply object-oriented design principles to structure backend
      Python applications
    • Model complex data relationships using classes, objects, and
      associations
    • Build a command-line application that demonstrates clean
      architecture and database-ready design patterns
  • ‍API Development with Python
    • Design and implement RESTful APIs using Python and
      industry-standard frameworks
    • Handle data exchange, validation, and client–server
      communication
    • Integrate a backend API with a front-end client application
  • ‍Relational Databases
    • Query relational databases using DDL, DML, and DQL
    • Design and model relational data using normalization and
      relationships
    • Use an ORM to interact with databases and enforce
      constraints and validations
  • Backend Development with Python
    • Manage client–server communication in a full-stack web
      application
    • Implement industry-standard authentication and
      authorization flows using JWTs
    • Deploy a secure, database-backed application end to end

Software Engineering Capstone
● Design and build full-stack applications using React, Flask,
and a relational database
● Apply structured programmatic thinking to architect,
implement, and refine software systems
● Integrate industry-standard development practices across
front-end, backend, and data layers
● Deliver portfolio-ready projects framed around real business
and user needs

Great Companies Hire Our Graduates

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Upcoming Start Dates

Course Dates
Start Date Pace Location Discipline Status
July 6, 2026
Jul 6, 2026
Online Artificial Intelligence Few Spots Left!

Not sure where you fit? We’ll figure it out.

Speak to our admissions team in chat or attend our Info Session.

Frequently Asked Questions

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.

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.

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.

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.

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.

Yes, all programs offered by Flatiron are delivered entirely online. This format provides flexibility and convenience, allowing you to learn from anywhere while balancing other commitments. The online experience includes live interactive virtual classes led by skilled mentors, collaborative projects, and comprehensive support services to ensure a rich and engaging learning journey.