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Software Engineering Foundations II
Delve into advanced topics like API development, relational databases, and backend systems
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Master full-stack development
In this advanced set of courses, you’ll explore the most critical aspects of software engineering, from API development to managing relational databases and building secure backend systems. You’ll learn how to design, implement, and deploy full-stack applications that meet industry standards. These courses will challenge you to think critically about software design, improve your ability to manage complex projects, and prepare you to take on leadership roles in the tech industry. By the end, you’ll have mastered the art of full-stack development and be ready to tackle any software engineering challenge that comes your way.
The U of U // Flatiron School difference
Learn to build back-end applications and apis and bring that together with your front-end knowledge to deploy full-stack applications
Train on industry-standard software and gain production experience
Be mentored by a world-class software engineer
Small group classes (max 5 students)
Prerequisite programs: Software Engineering Essentials, Software Engineering Foundations I
Upon completion of this program you’ll be able to move on to the Software Engineering Capstone
Curriculum
Industry-approved curriculum to support your journey into software engineering
Object Oriented Programming with Python - 3 weeks
This course introduces essential Python programming concepts for backend development, focusing on object modeling and complex relationships like one-to-many and many-to-many, commonly used in databases. It concludes with a project to create a CLI application demonstrating these relationships.
What you'll learn:
- Apply a programmatic thinking process for back-end development
- Create components for a backend database interactions using industry standard design practices
- Integrate industry standard techniques for a databases
API Development with Python- 3 weeks
In this course, you'll learn to use a Python library/framework to build dynamic REST APIs, focusing on data exchange, validation, and client-server communication. The course concludes with a project to create a REST API and a basic React client.
What you'll learn:
- Apply a programmatic thinking process for back-end development
- Create components for an API using industry standard design practices
- Integrate industry standard techniques for an API
Relational Databases - 3 weeks
In this course, you'll learn SQL and Flask-SQLAlchemy to build robust APIs that interact with relational databases. You'll master data manipulation and complex model relationships, culminating in a project where you create an API that seamlessly connects to a relational database and handles intricate data structures.
What you'll learn:
- Query relational databases using DDL, DML, and DQL
- Model relational data with normalization
- Use an ORM to interact with a relational database
- Set up constraints and validations to secure the application
Backend Development with Python - 3 weeks
This course teaches you to build robust and secure web applications using Flask. You'll master client-server communication, JWT authentication, and backend development. The course concludes with a project where you'll create a full-fledged API with user login, authorization, and seamless data flow.
What you'll learn:
- Manage client-server interactions
- Create an industry standard auth flow
- Deploy a full-stack application
Tuition
Upfront - Save 9%
$4,700
Pay as You Go
$5,200
3 monthly payments of $1,733
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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