Artificial Intelligence Boot Camp

Artificial Intelligence Boot Camp Overview

UConn Engineering AI Boot Camp is designed to prepare you for a workforce that is trying to stay ahead of all things AI. In this online boot camp, you’ll learn the foundations of AI — from machine learning (ML) fundamentals to AI ethics — and use that knowledge to start training and evaluating machine learning models. No previous programming experience required.

  • Gain immediate experience with real-world tools: Run real-world AI commands and forecast trends to prepare for your next role.

  • Tap into the AI advantage: Learn how to automate, solve problems, and drive results for businesses using AI applications.

  • Receive unparalleled support: Get 24/7 on-demand learning assistance via text or video chat and access a tutor when questions arise.

  • Build an impressive portfolio: Demonstrate your newfound AI skills and show future employers that you’re the right person for the job.

  • Open doors with a powerful network: Gain access to engaged instructors, TAs, peers, alumni, and 250+ employers looking to hire.

AI Career Opportunities

Artificial Intelligence and machine learning skills continue to be in demand. According to a recent survey, 42% of employers across various industries said they're actively looking for professionals with AI skills1. The AI/ML skill advantage can make you a more competitive candidate in today’s job market. Potential jobs that you can pursue after completing this boot camp include the following:

  • Business Analyst

  • Data Analyst

  • Artificial Intelligence Engineer

  • Data Scientist

  • Data Engineer

  • Robotics Engineer

  • Software Engineer

  • Machine Learning Engineer

1  Accelerating AI Skills. (2023). Access Partnership - Amazon Web Services. Retrieved on March 14, 2024.

Who Should Apply?

This AI boot camp is ideal for anyone who wants to start a career in tech or upskill to advance in the field and set themselves apart from other candidates.

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About edX Education Services

edX, part of 2U Inc., works with respected universities and organizations to deliver innovative, skills-based training to a community of over 45 million learners around the world to support them at every stage of their lives and careers. edX delivers boot camps through an immersive learning experience with expert services and valuable resources. As of 2021, graduates have been hired by 6,700+ companies, including more than 62% of the Fortune 100.

There are discounts available when you register for the next cohort. Speak to an admissions advisor for more details.

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Frequently Asked Questions

When does the program run?

Live online sessions are held 3 weekday evenings from 6:30 to 9:30 p.m Eastern Time (U.S.).

an I keep working while studying at the UConn Engineering AI Boot Camp?

Yes. The program was designed for working professionals who are seeking to advance their current careers or change paths.

How long does it take to complete the AI boot camp online?

The program is part time. You can complete it in six months (24 weeks).

Do you provide career planning support?

Yes. We offer all of our students career support and coaching as well as resume support, interview preparation, and experiential learning opportunities.

Do I need to have previous experience in AI before applying?

While some background knowledge is helpful, no experience is needed as long as you are dedicated and eager to learn. Our pre-course tutorials will help you prepare for our program.

What sets your online AI boot camp apart from others I can join in the region?

We offer a part-time program that allows working professionals and students to study AI without leaving their current job. We put the learner experience first, using robust analytics to track the academic journey and ensure that we provide top-quality learning.

You will benefit from a robust set of professional development services to prepare you for success as you work to advance or change careers. We employ skilled instructors and provide a curriculum based on the most in-demand technologies specific to the market.