Gain hands-on experience and expert guidance in a comprehensive online program designed to help you grow your career.

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AI Engineering Bootcamp

Immersive

CURRICULUMPAYMENT OPTIONSSUCCESS STORIESCAREER PATHS

06-12

Duration

Months

Start Date

None required

Experience

Student smiling outdoors while holding books and a water bottle

Why students choose our bootcamp

Earn a certificate from the University of Chicago, recognized worldwide

Work on projects grounded in real-world practice

Get one-on-one support from experienced mentors

Learn online in a flexible format that fits your life

Access career coaching, from interview prep to job search strategy

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Commitment to quality and growth

88

Employment rate*

%

178

Salary growth*

%

86

Transitioned into tech*

%

13,000

Student population*

+

Real stories of success

WATCH STORY

From mathematics to software engineering

Gabriella started the bootcamp with a maths background and a curiosity for coding. The course gave her structure, clarity, and the confidence to pursue a new career.

Gabriella Harris

AI Engineering Bootcamp student testimonial portrait
WATCH STORY

From civil engineer to web developer

After 20 years in civil engineering, Eustoachio used the Web Development bootcamp to make a bold career shift into tech.

Eustoachio Di Paola

AI Engineering Bootcamp student testimonial

Why pursue a career in AI engineering?

*According to the 2024 HyperionDev Graduate Outcomes Report. This report combines the student experience from global bootcamp participants, not limited to the University of Chicago.

Rapid industry growth

The global AI market is set to surpass $1.8 trillion by 2030, creating strong demand for qualified talent.

In-demand and secure

Roles in AI and machine learning are expected to grow by more than 20% in the next five years.

Higher earning potential

AI professionals can earn up to 56% more than the average tech role, with opportunities across industries.

This program offers a structured path from core programming skills to advanced AI techniques. As you progress, you’ll work on practical projects that reflect the daily work of AI engineers and developers, such as building applications, training models, and solving complex problems with code. This comprehensive bootcamp gives you the technical depth and practical experience to contribute to innovative AI-driven projects across industries.

What you'll learn

Level 1:

Foundations of
AI Engineering

Capstones: Investment Calculator, Task Management App, and Relational Database

Learn core programming with Python, data structures, and shell scripting while managing projects with Git. Explore database design and build functional programs that follow best practices. Develop a solid grounding in coding and data management.

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Level 2:

Software Engineering

Capstones: News Application and Django Deployment Project

Build front-end skills with HTML, CSS, and Bootstrap, then advance to full-stack projects using Django. Learn how to test, deploy, and document professional software. Master workflows with Docker and GitHub.

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Level 3:

Data Science

Capstones: Data Analysis Report, Machine Learning Projects, and NLP Application

Work with tools like pandas, matplotlib, and Tableau to analyze and visualize data. Build and evaluate machine learning models, including supervised, unsupervised, and neural networks. Apply NLP to create intelligent, language-based applications.

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*DISCLAIMER: Curriculum content may be adjusted to reflect industry changes or instructional needs.

Experience, support, and direction to take your next professional step with confidence.

Skills with real career impact

Icon of a laptop with text

Resume and portfolio review

Craft a polished portfolio and resume that showcases your strengths to employers.

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One-on-one
mentorship

Get personal guidance on your LinkedIn, interview skills, and career direction.

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Global hiring network

Access exclusive job boards, employer events, and valuable industry contacts.

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Ongoing
guidance

Keep growing with career support and alumni resources after your course ends.

HOW TO APPLY

Meet your faculty

Portrait of Lara Kattan, Clinical Assistant Professor of Operations Management at the University of Chicago

Lara is a data scientist and machine learning engineer with particular interests in financial modeling and Bayesian financial statistics. At Booth, she teaches Python, SQL, and R courses.

She previously worked as a consultant at McKinsey and EY, specializing in machine learning for finance. Kattan holds an MPP in public policy (econometrics concentration) from the University of Chicago and a BA in economics and political science from Northwestern University.

Lara Kattan

Clinical Assistant Professor of Operations Management

Potential career paths

After completing your bootcamp, you can apply for roles as an employee or as a freelancer in various positions such as:

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University of Chicago and HyperionDev partnership logos

The University of Chicago is partnering with online education provider HyperionDev to offer a portfolio of high-impact, outcomes-focused online programs. These programs are provided by HyperionDev and quality assured by UChicago to leverage their thought leadership in technical practice developed over decades of expertise.

T: +1 773-820-7090

Get in touch

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AI Engineer

Design and build systems that learn from data, automate decisions, and support intelligent features in everyday applications.

AI Developer

Develop smart tools that respond to voice, behavior, and patterns. Bring AI into products like chatbots, assistants, and search tools.

Software Engineer

Create scalable, efficient software with integrated intelligence, from backend systems to full-featured applications.

MLOps Engineer

Support the deployment and monitoring of machine learning models. Ensure systems stay accurate, reliable, and ready for production.

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Claim tuition savings on all bootcamps for a limited time—also available with financing.

More ways to manage your tuition

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Upfront payment

Pay upfront to secure this limited-time offer.

Upfront fee

Full price

Tuition savings

Limited time offer

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Pay monthly

Make a 10% deposit and spread the rest over monthly installments.

Over 9 months

*The University of Chicago provides information about these options for your convenience, but does not endorse or recommend any specific lender or program. We encourage you to carefully review terms and compare options before making any financing decisions.

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Student loan

Fixed-interest loans with rates starting at just 6.99%*. Quick and easy application process.

Student loan

Low-interest loans beginning from as little as $200. Flexible repayment terms.

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Payment plan

Interest-free tuition installments paid monthly over up to 24 months.

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Veteran benefits

GI Bill® benefits cover up to 100% tuition for eligible veterans and families.

VA Education
Benefits

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Tuition assistance

Workforce funding may cover up to 100% tuition for eligible unemployed or underemployed individuals.

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There are a variety of resources to help students finance their education. This includes employer reimbursement, private loans, and workforce development benefits.

Examples of external options students have used include:

How to apply

Getting started is straightforward. Here’s what to expect:

START YOUR APPLICATION

Choose your program

Select the course that aligns with your goals.

Apply online

Complete your application.

Secure your spot

Choose your payment method to continue.

Start learning

Meet your mentor and upskill at your pace.

Complete your course

Finish the course and receive your UChicago credential.

Frequently asked questions

If you’re eager to learn AI engineering and tools like machine learning, deep learning, and AI ethics, this bootcamp is for you.

Still unsure? Book a call with our admissions team, and we’ll help you decide.

No prior experience is required. You’ll start with the basics and build your skills step by step, with plenty of support along the way.

This bootcamp does not carry formal academic credit, but you'll earn a certificate of completion from the University of Chicago, which is widely valued by employers and can strengthen your path into an AI or software engineering career.

If you study part-time, aim for 5-10 hours per week to finish in 12 months.

Full-time learners can complete it in around six months, dedicating 35-40 hours per week.

You can adjust your pace if needed.

You’ll need a computer with a stable internet connection. We’ll let you know if any specific tools or software are required before you start.

Life happens, and we get that. View our refund and deferral policy or reach out to admissions to talk through your options.

Ready to make your move into AI engineering?

Gain the tools and know-how to start working toward a career in AI engineering. Thousands have done it, and you can too.

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