Work-Integrated Career Pathway

AI Engineering Immersive

Build a career at the intersection of software engineering and artificial intelligence. You'll train full-time, earn while you learn, and graduate with two professional certificates and real paid experience already on your resume.

Effective Tuition*

18 months

2 Certificates

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Overview

Program Length

18 months

Study Load

40hrs/week - months 1-4
20hrs/week - months 5-18

Work Load

20hrs/week - months 5-18

Delivery Mode

Flexible, on-demand curriculum
Weekly live sessions
Personalized mentor feedback

Faculty Ratio

8:1 Student to Instructor Ratio
1:1 Student to Mentor Ratio

Costs

Tuition: $29,900
Scholarship: $10,400
Earnings: $19,500
Effective Cost: $0

Skill Level

Beginner to intermediate
No experience required

Start Dates

The first Monday of every month

Credential

Software Engineering Certificate
Artificial Intelligence Certificate

Why Artificial Intelligence

AI Is No Longer a Specialty

It is becoming the foundation of how software gets built, how decisions get made, and how organizations operate. The engineers and researchers who understand how these systems actually work, not just how to use them, are in extraordinary demand. Graduates pursue AI roles with average salaries ranging from $100,000 to $135,000.

AI Engineer

$102,000 avg. salary

Designs, builds, and deploys intelligent systems that automate decisions and power modern applications.

Machine Learning Engineer

$112,000 avg. salary

Builds and maintains the models and pipelines that turn raw data into production-ready AI systems.

AI Research Analyst

$100,000 avg. salary

Evaluates AI tools, interprets model outputs, and translates findings into actionable organizational decisions.

What You'll Learn

The AI Engineering Immersive runs in three phases. You start with the fundamentals of software engineering, then move into artificial intelligence, and conclude with a capstone. In month 5, your apprenticeship begins and runs alongside your coursework for the remainder of the program.

Program Outline

18 months

Project-based learning

Flexible, online format

Work-integrated design

Industry mentorship

Instruction from a practitioner

Apply now

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Phase 1: Software Engineering

Software Engineering Fundamentals
Learn to build user interfaces and write clean, maintainable code using HTML, CSS, and JavaScript. You'll solve logic-driven programming problems, work with core data structures, and use essential developer tools, including GitHub, finishing with a project built around a real business problem. View in catalog
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JavaScript Fundamentals
Deepen your JavaScript skills with a focus on modern syntax, asynchronous programming, and testing. You'll build interactive, user-focused programs and finish with a command-line application that demonstrates clean logic and structured thinking.
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JavaScript Interactions
Front-End Development with React 1
Front-End Development with React 2
Introduction to Python
Object-Oriented Programming
API Development
Relational Databases
Back-End Development

Software Engineering Fundamentals
Learn to build user interfaces and write clean, maintainable code using HTML, CSS, and JavaScript. You'll solve logic-driven programming problems, work with core data structures, and use essential developer tools, including GitHub, finishing with a project built around a real business problem. View in catalog
‍
JavaScript Fundamentals
Deepen your JavaScript skills with a focus on modern syntax, asynchronous programming, and testing. You'll build interactive, user-focused programs and finish with a command-line application that demonstrates clean logic and structured thinking.
‍
JavaScript Interactions
Front-End Development with React 1
Front-End Development with React 2
Introduction to Python
Object-Oriented Programming
API Development
Relational Databases
Back-End Development

Phase 2: Artificial Intelligence

Introduction to Data Science
Databases & SQL
Cloud Computing & Data Visualization
Inferential Statistics
Regression
Introduction to Machine Learning
Machine Learning with Scikit-Learn
Natural Language Processing & Neural Networks
Advanced Neural Networks
Large Language Models

Phase 3: Capstone

AI Engineering Capstone

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“Exceptional support and abundant research opportunities.”

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Lilly Woods

San Francisco, CA

“Unmatched education with personalized learning experiences”

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John Carter

New York, NY

“Outstanding community and endless academic opportunities”

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Sophie Moore

Los Angeles, CA

“Transformative environment fostering personal and academic growth”

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Matt Cannon

New York, NY

“Exceptional support and abundant research opportunities.”

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Lilly Woods

San Francisco, CA

“I didn’t just want a degree, I wanted experience that matters.”

Clarke gave me the opportunity to work on real projects with real companies, not just case studies in a classroom.

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Ethan Brooks

Greenville, SC

“I’m not just studying for my future, I’m already living it”

My apprenticeship lets me apply what I’m learning in class to client work every week, and it makes everything click.

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Claire Whitman

Birmingham, AL

“College finally feels connected to the real world.”

Through my apprenticeship and mentors, I’m gaining the confidence and skills to walk in and be ready to contribute from day one.

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Mason Price

Augusta, GA

“Exceptional support and abundant research opportunities.”

Lorem ipsum dolor sit amet consectetur libero pretium tincidunt sem vulputate.

Lilly Woods

San Francisco, CA

“Unmatched education with personalized learning experiences”

Lorem ipsum dolor sit amet consectetur libero pretium tincidunt sem vulputate.

John Carter

New York, NY

“Outstanding community and endless academic opportunities”

Lorem ipsum dolor sit amet consectetur libero pretium tincidunt sem vulputate.

Sophie Moore

Los Angeles, CA

“Transformative environment fostering personal and academic growth”

Lorem ipsum dolor sit amet consectetur libero pretium tincidunt sem vulputate.

Matt Cannon

New York, NY

Questions?

We Have Answers

What credential will I earn?

You’ll earn two Professional Certificates from Clarke College, one in Software Engineering and another in Artificial Intelligence. This program is separate from our degree offerings. Still, if you later choose to pursue a bachelor’s or master’s degree at Clarke, your certificates can articulate into academic credits toward either program.

How long is the program?

The AI Engineer Career Pathway takes about 18 months to complete. Students begin with full-time software engineering training, then transition into part-time artificial intelligence study while working in a paid apprenticeship. The apprenticeship experience not only covers the cost of tuition but also provides real-world application of the skills learned in both programs.

If the program runs year-round, are there any breaks?

Yes. Clarke’s programs are designed with flexibility in mind, allowing students to manage their own pace while staying on track. Each academic year includes about five weeks of scheduled breaks, typically around major U.S. holidays. Students can also work ahead in some courses to take short breaks when needed. This schedule mirrors the rhythm of a professional environment rather than a traditional academic calendar, helping students transition smoothly from school to the workplace.

Is the program entirely online?

Yes. Clarke is fully online, but highly interactive, with mentors, peers, and project work built into every phase. You'll collaborate with mentors and peers through tools like Discord, GitHub, and live sessions, with structured mentorship and feedback every step of the way.

What are the hardware requirements?

We recommend that students have a laptop that was manufactured within the last 4 years and has 16GB+ of memory. While most of our students choose macOS, Windows and Linux are both supported as well.

How do the apprenticeships work?

Clarke’s programs are built on the philosophy of applied learning through apprenticeships. We collaborate with nonprofit partners and employers to help connect each student with meaningful opportunities. The final decision always rests between you and the partner organization — Clarke facilitates introductions and matching, but does not directly place students.

To learn more about apprenticeship matching before enrolling, visit the Bletchley Fellowship program

How are Clarke's professional programs different from what traditional universities offer?

Clarke’s professional programs are built entirely around real-world skills. You’ll learn through hands-on projects and mentorship from industry professionals who use these tools every day. Each course focuses on the technologies, workflows, and production environments used in the field today, not abstract theory or unrelated filler topics. Every program is designed to move you closer to a career in tech.

What careers will I be prepared for post-graduation?

The AI Engineer Career Pathway prepares graduates for roles at the intersection of software development and artificial intelligence. Combining full-stack engineering and applied machine learning, you’ll be qualified for positions such as:
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AI Engineer
AI Application Developer
AI Automation Engineer
Data Engineer
Data Scientist
Machine Learning Engineer
Software Engineer
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Ready to Get Started?

Browse available courses, pick the right one for your student, and complete enrollment in minutes.

Apply Now

Have Questions? Contact Us

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Getting a Head Start

Here are the most common reasons students enroll in Clarke dual enrollment.

No barriers to entry

Any current high school student can enroll. No GPA requirement, no application fee.

Stronger applications

College coursework improves GPA, class rank, and signals academic seriousness to admissions and scholarship committees.

Satisfy CS requirements

Meet your state's computer science requirements for high school graduation.

Credits at a fraction of the cost

Build your transcript now at $100 per credit, a fraction of what you'll pay at university.

Risk-free by design

You only convert a grade to an official transcript if you want to. A grade you're not happy with stays off the record.

Courses and Pricing

What's available and what it costs.

Courses begin on the first Monday of September, January, and June and run for 12 weeks. Each course has two 45-minute live sessions per week, which are recorded so attendance is optional. Courses are worth 3 college credits and priced at $100 per credit. If you decide to add a course to your official transcript, add $50 per credit.

Web Foundations

Learn how the internet works and build your first websites using HTML, CSS, and JavaScript. A hands-on introduction to web development and the foundation for every course that follows.

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Web Development Fundamentals

Build on your web foundations and develop more complex, interactive websites using modern HTML, CSS, and JavaScript. Students finish the course by building and deploying a real web application.

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Front End Web Development

Take your web development skills further by building sophisticated client-side applications with greater scope and complexity. Students finish with a final project built on a JavaScript framework used by professional developers.

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Introduction to Python Programming

Learn to think like a programmer using Python, one of the most in-demand languages in software, data science, and AI. Students work with real data, build web applications, and finish with a collaborative group project.

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Programming 1

Develop a strong foundation in programming as a problem-solving tool, learning how to write efficient, well-structured code in Python. Students finish with a group project that brings together everything they have built across the course.

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Programming 2

Go deeper into programming with advanced concepts like object-oriented design, recursion, and database management using SQL. Students work with web services, real data sources, and build on the skills from Programming 1.

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Team Software Project

Work on a real software product team using the same tools, processes, and collaboration methods used in the industry. Students build a full web application together and present their finished product to peers and external stakeholders.

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Introduction to Cybersecurity

Explore the fundamentals of cybersecurity, including how threats work and how professionals defend against them. Students gain hands-on experience with the tools and techniques used to protect computer systems, networks, and data.

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Introduction to Data Science

Learn to collect, analyze, and communicate with data using Python, SQL, and real-world datasets. Students finish the course by building a data application that answers a real question they care about.

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Introduction to Artificial Intelligence

Understand how AI systems work and how they are built, from machine learning fundamentals to the models shaping technology today. Students gain the foundational knowledge needed to work with and evaluate AI tools and systems.

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Data Structures and Algorithms 1

Learn the foundational data structures and algorithms that underpin all serious software development. Students practice solving the kinds of problems that appear in technical interviews and professional engineering work.

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Data Structures and Algorithms 2

Build on Data Structures and Algorithms 1 with advanced topics including graph algorithms, dynamic programming, and NP completeness. Students continue practicing technical problem-solving and communication through mock interview sessions and technical writing.

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