AI-SE-hero

AI Software Engineering

Build real software engineering and AI skills across four hands-on courses — designed for working professionals.

Learn how to build and ship AI-powered applications, from core programming fundamentals to production-ready systems.

This is a set of four courses you can take one at a time — or combine to build a complete foundation in modern software engineering, including front-end and back-end development, AI application development, and system reliability.

Enroll in two courses and get two free. Plus, explore 0% interest financing options for those who qualify.

GET MORE INFO

Get started on your AI software engineering journey. Tell us a little about you and we'll get in touch with more info.

Loading Form...

AI-SE-courses

4 courses to build real AI software engineering skills

Bridge traditional software development with AI-powered applications through four individual courses. Take any course on its own or combine them all to complete the pathway. From foundational web development and back-end programming to AI application development and system reliability, you'll learn to integrate AI capabilities into software products and build the technical infrastructure needed to support intelligent software systems.

Front-End Development with HTML & CSS

  • What you’ll build: Responsive portfolio website, interactive forms, accessible web components
  • Key technologies: HTML5, CSS3, JavaScript, Browser DevTools, Git
  • Skills you’ll gain: Semantic markup, responsive design, accessibility, version control

OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

IBM-Emblem-White
multi-logo-banner-xerox-white
multi-logo-banner-canon-white
Amazon-Emblem-White

Course Highlights

The essential foundation for any software career. Master the visual layer that users interact with daily—from responsive layouts to accessible design. This course gives you immediately applicable skills whether you're starting fresh or adding to existing technical knowledge.

Explore course

Transform static websites into dynamic, data-driven applications. Learn to build the invisible infrastructure that makes modern web apps work—handling user data, managing databases, and creating secure connections. Perfect for developers ready to work with the full technology stack.

Explore course

Move beyond AI theory to practical implementation. Connect powerful AI services to web interfaces, creating applications that can generate text, process images, and make intelligent recommendations. Gain hands-on experience with the tools reshaping software development.

Explore course

Master the critical skills that separate experimental AI from production-ready systems. Learn to monitor, maintain, and optimize AI applications at scale—the skills that make you invaluable as AI becomes standard in software products.

Explore course

JOIN A GROUP INFO SESSION

Want to learn more? Get answers to common questions and discover what makes learning with GA different. 

info-session

Why this learning pathway works

Learn at your own pace, with built-in flexibility 
Each course is offered independently, so you can start with a single topic or progress through all four courses in this discipline over time. Take courses in the order that fits your interests, background, and schedule, or complete a full pathway to deepen your understanding across the AI software engineering stack.
 
Curriculum designed for today’s AI software landscape 
The pathway reflects how modern software teams are incorporating AI into applications and systems today. You’ll work across front-end development, back-end architecture, AI-powered web applications, and systems engineering, using current tools, frameworks, and workflows that support intelligent, scalable software.
 
Applied learning through hands-on practice 
Each course balances instruction with active learning. You’ll spend a significant portion of your time working in labs and building projects that reinforce core concepts, tools, and techniques. This hands-on approach helps you engage directly with the material and develop practical familiarity with modern software and AI development environments. 

 

AI-SE-why-pathways
finance-photo

Total cost of each course is $2,950

Take two courses and qualify for the additional two courses for free. With this bundle discount, all four courses in this pathway are available for a total tuition of $5,900.*

*Eligibility is based on terms and conditions.

When you enroll in two eligible courses within this learning pathway, you become eligible for a bundle discount that allows you to take the remaining two courses in the pathway at no additional tuition or fee cost.

The bundle discount applies only after enrollment in two qualifying courses. Students must enroll in the four courses individually and are charged applicable tuition and fees after enrollment occurs.

Bundle eligibility, course availability, and timing are subject to terms and conditions.

Divide the tuition for an individual course into two, three, or four payments while enrolled.

As low as $712.50 per course.

Apply for a 0% interest loan from Climb Credit

This option allows students to pay the tuition of an enrolled course over 9 months per course.

Students enrolling in multiple eligible courses may qualify for extended payment terms under the bundle loan option.

Loan approval subject to eligibility.

Apply for a loan from Climb Credit.

Choose immediate repayment or an interest-only option.

Interest rates range from 6.5–15%, with loan terms from 2–5 years (6.99–17.99% APR).

Loan approval subject to eligibility. Loan terms displayed are effective as of 1/1/2026.

Show off your new skills

You get a digital badge for every individual course you complete. Complete all courses in the discipline, get your pathway badge, and add it to your LinkedIn profile to showcase your new skills to your network.  
badge

KEY TAKEAWAYS  

Completing all of the courses in AI Software Engineering will equip you with these essential software engineering skills:

BUILD PRODUCTION-READY WEB APPLICATIONS

You'll master modern web development from front-end to back-end, creating responsive, accessible websites with HTML/CSS and building robust server-side applications with JavaScript, APIs, and databases.

INTEGRATE AI INTO REAL-WORLD APPLICATIONS

You'll learn to enhance web applications with AI capabilities using frameworks like Next.js, connecting to AI APIs, implementing machine learning models in the browser, and building intelligent, data-driven user experiences.

DEPLOY AND MAINTAIN RELIABLE SYSTEMS

You'll design and deploy end-to-end AI systems using LangChain and vector databases, applying responsible AI practices that balance technical performance with ethical considerations, security, and fairness—culminating in a portfolio-ready capstone project.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from software engineering pros who bring hands-on experience straight from the field to the classroom. Every GA instructor is committed to giving the personalized feedback and support you need to crush your goals every step of the way.
LEARN MORE
instructors-photo

GET MORE INFO

Learning AI skills is no longer optional. Tell us a little about you—and we’ll get in touch with more info.

Loading Form...

Let’s Chat

Need to speak with someone directly?
Our admissions team is here to help.

North America
+1 844 969 4669
UK
+44 20 3991 6088
Singapore
+65 6018 7933
Australia
+61 1800 845 068

QUESTIONS? WE'VE GOT ANSWERS.

AI is reshaping every role and every industry, and learning AI skills to enhance your role is no longer optional. General Assembly's courses in AI software engineering provide live, cohort-based training that equips learners with the in-demand software engineering and AI skills to create intelligent, scalable software solutions.
Absolutely. Our flexible pathway approach lets you build your learning schedule to fit your life. Take multiple courses simultaneously, take one course at a time, or create your own custom learning timeline.

Yes. You can bundle any four courses together to “build your own” learning pathway, or simply take as many courses from as many disciplines as you’d like. When it comes to learning at GA, the choice is yours.

Yes. When you pass a course, you’ll receive a LinkedIn-verified digital badge, and if you complete four courses in a pathway, you’ll also receive a pathway badge. Thousands of GA alumni around the world use these badges to demonstrate their skills to their LinkedIn networks, potential employers, and more. Our courses are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

Some courses are truly beginner-friendly. Others require certain experience and knowledge. 

Admissions requirements and recommended experience are explained in additional detail on each course webpage, as well as in the Student Catalog. Our Admissions team can discuss your background and learning goals to advise if the course (our courses) you’re interested in is a good fit for you.

Yes. All of our courses are designed for busy professionals with full-time work commitments. There’s no prework and the workload is designed to be manageable with a full-time job. If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.

Our Admissions team is here to help and can advise whether this pathway is right for you and your learning goals. You can also:

*Course modality options vary by location, pending market availability. Please contact our Admissions team to discuss what version is available in your location.

Education does not guarantee outcomes, including, but not limited to, employment or future earnings potential.
GET MORE INFO