Build artificial intelligence (AI) models to solve real-world problems.
Immersive AI Engineering
Online Bootcamp
Master machine learning and deep learning techniques.
Develop neural networks and natural language processing systems.
Analyze and optimize AI-driven solutions.
Why Learn AI Engineering?
Artificial intelligence is transforming industries and redefining the future of work. By mastering AI engineering, you’ll gain access to cutting-edge roles, competitive salaries, and a rapidly growing field in need of skilled professionals.
Explore machine and deep learning, Python, TensorFlow, and MLOps to develop intelligent systems that drive real-world impact. Our bootcamp equips you with the expertise to build, deploy, and optimize AI solutions at scale.
Flexible payment plans available
Funding options available
No previous coding experience required
Upgrade your skills and open new career opportunities
Six to Twelve
Months
No Experience
Required
Next Cohort Start Date
Commitment to Quality and Growth.
88% of our graduates secured a job offer within six months of completing their bootcamp, demonstrating the effectiveness of our career-focused education.
EMPLOYMENT RATE*
88%
SALARY GROWTH*
178%
Our graduates enjoy a significant increase in their earnings after completing their bootcamp, earning up to 178% more than their previous salary.
TECH INDUSTRY TRANSITION*
86%
86% of our graduates move into new roles in the tech industry, while 14% apply their new tech skills in other industries.
STUDENT POPULATION*
13,000+
Join over thirteen thousand students who have benefited from industry-relevant coding curricula and have begun their journey into a successful career in tech.
At UChicago, the skills you learn not only become career assets—they build the foundation for discovering solutions, implementing change, and making an impact in your field.
*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.
We Offer a Unique, Proven, and Personalized Approach to Code Review.
You’ll work with experienced code reviewers who will guide you through one-on-one calls and email support
Learn with expert support
Learn as part of a cohort of bootcamp students all striving to advance their careers and break into AI roles. Join online group tutorials, community chats and meetups, and peer coaching.
Join a community of career changers
Human-led task review builds trust with your mentors and lets you progress at your own pace. Establish a safe space to discuss any roadblocks without fear of failure.
Study with confidence
Level 1: Introduction to AI Engineering
01 Introduction to Programming
Learn how pseudo code can help you clarify your thoughts and properly plan your programs before writing any code.
02 Comprehensive Web Development
Discover the most frequently used and versatile collection datatype used in Python: The list.
03 Advanced Python, Shell Scripting, and Version Control
Build systems that understand and interpret human language.
04 Data Management
Explore the types of databases and database management systems.
Level 3: Data Science
Level 4: Post-Bootcamp Program
Level 2: Software Engineering
What You Will Learn.
Our immersive online program builds essential coding and AI skills, covering machine learning, neural networks, and NLP. You'll apply your knowledge to build a professional portfolio of AI projects.
Choose between full-time or part-time study and benefit from real-time feedback from industry experts. Tailor your schedule to fit your lifestyle while progressing through a curriculum designed to align with industry standards and prepare you for success in your career.
Two Study Options.
Part-Time
Twelve months.
Ten to twenty hours per week.
Project review and feedback within forty-eight hours on weekdays.
Quality, professional feedback on all project submissions.
Personalized job search assistance, resume reviews, and interview prep.
Full-Time
Six months.
Forty hours per week.
Project review and feedback within thirty-six hours on weekdays.
Quality, professional feedback on all project submissions.
Personalized job search assistance, resume reviews, and interview prep.
Duration:
Time commitment:
Review time:
Career Support:
Support:
Meet Your Faculty.
Lara Katten
Clinical Assistant Professor of Operations Management
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 has previously been 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.
Diverse Career Paths in AI Engineering.
Machine Learning
Engineer
Develop algorithms and models that enable machines to learn from data.
Data
Scientist
Analyze and interpret complex data to derive insights and support business decisions.
AI
Engineer
Design, develop, and deploy AI systems, integrating machine learning models into real-world applications.
AI
Developer
Develop AI applications to solve industry-specific challenges.
Robotics
Engineer
Design intelligent systems for autonomous machines.
NLP
Engineer
Specialize in natural language processing to develop AI systems that understand and generate human language.
These roles offer competitive salaries and numerous opportunities for career advancement in the tech industry, though specific opportunities may vary based on location and employer. Begin your tech career today by enrolling in the bootcamp.
You'll acquire the skills needed to transition into a rewarding career in AI engineering. This can be a crucial step on your journey into the following roles:
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.
Claim tuition savings on all bootcamps for a limited time—also available with financing.
More ways to manage your tuition
Upfront payment
Pay upfront to secure this limited-time offer.
Upfront fee
Full price
Tuition savings
Limited time offer
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.
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.
Veteran benefits
GI Bill® benefits cover up to 100% tuition for eligible veterans and families.
VA Education
Benefits
Tuition assistance
Workforce funding may cover up to 100% tuition for eligible unemployed or underemployed individuals.
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:
Select a bootcamp.
Complete the registration form.
Once you’ve registered, our
admissions team will confirm your start date and share next steps.
How to Apply.
If you’re eager to learn AI engineering and tools like machine learning, deep learning, and AI ethics, this bootcamp is for you. Unsure? Book a call with an admissions consultant.
The AI Engineering Bootcamp (6 to 12 months) is longer and more comprehensive than the Data Science (3 to 6 months) and Software Engineering (3 to 6 months) bootcamps, as it incorporates key concepts from both fields. In addition to building and deploying AI models, you'll learn data engineering techniques for managing large datasets and software engineering principles like web development, version control, and deployment. While the Data Science Bootcamp focuses on analyzing and interpreting data and the Software Engineering Bootcamp emphasizes coding and application development, the AI Engineering program provides a broader foundation, making it ideal for those who want to develop AI-driven systems with an understanding of both data and software.
Absolutely! You don’t need any background in coding, IT, or computer science to join the AI Engineering Bootcamp. Many of our students start with no technical experience and successfully transition into programming careers. Our part-time, six-month program is designed to guide you step-by-step, teaching you how to build software using various programming languages to solve real-world problems. All you need is determination, persistence, and a passion for learning. Ready to start your journey? Enroll today and take the first step toward an exciting career in tech.
Part-time students should allocate at least forty hours per week, while full-time students should dedicate at least ten to twenty hours per week. The bootcamp is designed to be flexible and fit around your schedule.
UChicago has partnered with HyperionDev to bring world-class, hands-on coding bootcamps to students, blending UChicago’s academic rigor with HyperionDev’s expertise in tech education. This collaboration offers a unique, practical learning experience designed to prepare students for success in today’s tech industry.
Our bootcamps provide personalized mentorship and human-centric code review to support your learning journey. Expert mentors offer 24/7 guidance, while code reviews ensure tailored debugging and skill refinement assistance. Our comprehensive career support services also empower you with the skills, confidence, and connections needed for success in the tech industry. .
AI Engineering FAQs.
Get In Touch.
Let us know how we can help.
Contact Admissions.
Telephone: +1 773-820-7090
or