Immersive

AI Engineering

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

Start Date

05/08/2026

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Days
00
Hours
00
Mins
00
Secs

Duration

06-12 Months

Experience

None required

Curriculum
Success Stories
Career Paths
Payment Options
How to Apply

Why choose our AI and Software Engineering immersive bootcamp

  • Earn a globally recognized credential from the University of Chicago.
  • 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%

Launched new careers*

13k+

Student population*

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

Real stories of success

Gabriella Harris
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
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From mathematics to software engineering
Eustoachio Di Paola
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
Watch Story
From civil engineer to web developer

Student stories reflect experiences from the global HyperionDev learner community and are not specific to University of Chicago participants.

Why pursue a career in AI engineering?

Rapid industry growth

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

Growing demand

AI and machine learning specialists rank among the fastest-growing roles through 2030, opening new career opportunities.

Higher earning potential

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

What you'll learn

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.

Level 1

Foundations of AI Engineering

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.

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

Level 2

Software Engineering

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.

Capstones: News Application and Django Deployment Project

Level 3

Data Science

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.

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

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

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Skills with real career impact

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

Resume and portfolio review

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

One-on-one mentorship

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

Global hiring network

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

Ongoing guidance

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

Meet your faculty

Lara Kattan

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 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.

Potential AI Engineering career paths

After completing the bootcamp, you’ll be ready for AI engineering roles across a range of industries and teams:

AI Engineer

AI Engineers design, develop, and integrate AI systems into practical applications. They automate tasks, optimize workflows, and enhance user experiences through intelligent solutions.

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.

Machine Learning Engineer

Machine Learning Engineers build algorithms and models that enable systems to learn from data and improve over time without being explicitly programmed. They work with large datasets and deploy scalable solutions across industries.

Robotics Engineer

Robotics Engineers design and program autonomous machines capable of performing tasks with minimal human input. They apply AI and sensor technologies to enable responsive and intelligent behavior.

NLP Engineer

NLP Engineers specialize in natural language processing, developing systems that can interpret, generate, and respond to human language. Their work powers chatbots, voice assistants, and language-based AI tools.

Data Scientist

Data Scientists analyze and interpret complex datasets to uncover patterns, generate insights, and guide strategic decisions. They use statistical methods, machine learning, and data visualization to solve business problems.

Ways to manage your tuition

Most affordable

Pay upfront

Upfront fee
$ 10,951
Pay in full to secure a discounted rate.
Tuition savings
14%
Full price
$ 13,001
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Most Popular

Pay monthly

From
$ 200
per month
Pay your tuition over time with flexible monthly installments thanks to our funding partners
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Financial aid and funding options

External resources are available to help you finance your education.*
Review the options below to determine whether you qualify for support toward your tuition

Splitit
Installment plan

Split your tuition into 3 or 6 monthly installments from $583/month using your existing Visa or Mastercard credit card. No new credit needed.

Learn more
EdAid
Installment plan

Pay a deposit, then spread the remaining tuition over 24 monthly installments from $500/month.

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Climb Credit
Student loan

Choose flexible monthly repayments from $310/month, with loan options tailored to your eligibility.

Learn more
Sallie Mae
Student loan

Monthly repayments from $25/month, with interest-only or deferred repayment options available.

Learn more
GIBill
Veteran benefits

Use your GI Bill® education benefits to cover your bootcamp tuition. For veterans and eligible family members.

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WIOA
Workforce funding

Federal aid may cover your tuition if you are a dislocated worker, low-income adult, or young adult.

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Explore Funding Options

*The university 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.

Earn an AI engineering credential upon completion

Finish your program with a verified digital credential that validates your achievement and career readiness.

Certificate for the bootcamp

How to apply

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

01

Choose your program

Select the course that aligns with your goals.

02

Apply online

Complete your application.

03

Secure your spot

Choose your payment method to continue.

04

Start learning

Meet your mentor and upskill at your pace.

05

Complete your course

Finish with a credential that adds value.

FAQ

How do I know if the AI Engineering Bootcamp is right for me?

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

Do I need a background in coding or tech to apply?

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.

Is this bootcamp accredited or certified?

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

How much time do I need to commit?

Part-time learners should plan to dedicate an estimated 10–20 hours per week to complete the bootcamp in approximately twelve months. This option is ideal if you are balancing your studies with work or other commitments.‍

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Full-time learners should plan to dedicate an estimated 35–40 hours per week to complete the bootcamp in approximately six months.

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Our online bootcamps are designed to be flexible. If you need additional time, you may have the option to extend your bootcamp duration.

What are the technical requirements?

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.

What if I need to defer or get a refund?

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?

In just six to twelve months, gain the tools and know-how to start working toward a career in engineering. Thousands have done it, and you can too.

Apply NowSchedule a Call

Events

Stay tuned for live online sessions and in-person events. Discover more from our bootcamps experience with insights from our team and dedicated spaces to ask questions.

Wed
02
Dec 2026

Live Session & AMA

Location:
Online
Join us for an interactive online session where we will present the range of online bootcamps.
Ready to get started?
Book a Call
Apply Now