At a Glance
- Enrollment:
- Open enrollment
- Length:
- 6 months Full-time 12 months Part-time
- Format:
- Online
- Investment:
-
Tuition and payment options
Upcoming Dates
April Start
May Start
June Start
The Artificial Intelligence (AI) Engineering Bootcamp provides hands-on, immersive training that prepares students for in-demand roles in AI.
Leveraging one-on-one mentorship and feedback from industry professionals, our bootcamp focuses on industry-ready skills and real-world applications.
From Algorithms to Agile—Become an AI Engineer Ready for the Real World
Benefit from an immersive learning model that engages you directly in hands-on problem-solving and project work. Our approach stresses active participation over asynchronous lectures with the goal of mirroring workplace environments.
Throughout our program, you’ll develop skills beyond just building AI models. You’ll learn to manage AI projects using agile methodologies, communicate effectively with technical and non-technical stakeholders, and understand how AI fits within a system’s overall architecture. By applying best practices throughout the AI development lifecycle, you’ll gain the ability to integrate AI into scalable systems and deploy them successfully in real-world environments.
Designed For
This bootcamp is for anyone eager to learn AI engineering and tools like machine learning, deep learning, and AI ethics. No prior coding experience required.
Break Into AI with Confidence—From Fundamentals to Scalable Systems
Throughout this program, you will work through learning tasks designed to build your expertise. Each task consists of lessons accompanied by practical activities. These range from coding exercises to more complex coding projects, allowing you to apply the skills you’ve learned and create programs that showcase your knowledge.
After completing this course, you will be able to:
- Write and optimize Python code, applying programming principles to solve problems.
- Manipulate databases using SQL and efficiently extract and analyze raw data.
- Design and build functional web applications, applying modular design and software engineering principles.
- Deploy applications using best practices for version control, pipelines, and containerization.
- Use statistical tools and visualization techniques to interpret and present data insights.
- Build, evaluate, and optimize machine learning models to detect patterns in data.
- Use advanced deep learning models to solve challenges across various domains.
- Design solutions to AI problems using computational thinking, focusing on logic development for intelligent systems.
- Write Python code, which is widely used in AI for building models, neural networks, and other AI-driven applications.
- Utilize Git for version control and team collaboration, ensuring seamless integration and deployment of AI models.
- Build and deploy AI applications within six to twelve months, providing you with practical, hands-on experience in AI engineering.
Step Into the Future of Tech
In one year or less you can gain the skills to engineer scalable intelligent AI solutions. No prior coding experience required.
Enroll NowCode Review Gives You a Competitive Edge
We have a team of expertly trained code reviewers available to provide a more personalized learning experience. The on-demand code review method helps you learn to code and work with AI tools correctly and at a faster pace.
Exposure to Industry Standards from Day One
Professional developers have their work assessed by a senior developer through the code review technique. Our bootcamp is among the few that utilize this technique from day one—connecting you with experienced code reviewers who guide you through one-on-one calls and email support.
Meet Your Faculty Director
Lara Kattan, MPP
Clinical Assistant Professor of Operations Management
Lara Kattan is a data scientist and machine learning engineer with particular interests in financial modeling and Bayesian financial statistics. At the University of Chicago Booth School of Business, she teaches Python, SQL, and R courses.
She has previously been a consultant at McKinsey and EY...
Earn a Credential in AI Engineering
After successful completion of this program, students will receive a digital badge certified by the University of Chicago to recognize their achievement.
How Do I Get Started?
- Complete the registration form.
- Once you have registered, our admissions team will confirm your start date and share next steps.
The University of Chicago is partnering with online education provider HyperionDev to offer a portfolio of high-impact, outcomes-focused online learning programs. These programs are quality assured by the University of Chicago, leveraging its thought leadership from decades of expertise in business and technical practice, and provided through HyperionDev, drawing on its expertise in technical education.