Next Start
Date:
March 24, 2025
Time to
Complete:
24 weeks,
part-time
Live Virtual Classes:
9 hours
per week
Whether you’re just starting out with AI or you’ve dabbled with AI applications, we can help you tap into its full potential. The boot camp serves as an introduction for those just entering tech and builds on that foundation with specialized AI skills for those looking to upskill and set themselves and their resume apart. Upon completion, you will be able to lead AI conversations — and initiatives — to bring about key results for your organization.
As you prepare to start, switch, or upgrade your career, we will support your learning journey with unparalleled services and resources.
No previous programming skills are required to apply. However, it is recommended that applicants hold a bachelor’s degree and/or two years of work experience in business, finance, statistics, management, or a related field.
AI applications rely on human intelligence. To take advantage of all things AI, employers will need professionals who understand AI applications and can leverage them to drive results. According to a McKinsey report, 39% of businesses reported hiring software engineers, and 35% hired data engineers for AI-related positions in 2022.1
The Northwestern AI Boot Camp will prepare you to leverage AI and machine learning to solve business problems and to discuss the latest innovations in AI with key stakeholders.
1 The State of AI in 2022 — and a Half Decade in Review. (2022). Quantum Black AI by McKinsey. Retrieved June 8, 2023.
Our Career Engagement Network will help you apply the tools and knowledge you learn in your program to advance your career by assisting you in developing a strong portfolio, a polished resume, and sharp interview skills. You’ll also have access to free career resources throughout your professional life.
Our rigorous AI boot camp curriculum reflects the latest in an ever-changing field. You will learn everything from “What is AI?” to machine learning optimization to emerging topics and developments that point to where AI is headed. Classes are delivered through high-quality coursework and live, virtual classes led by instructors who are vetted by the University. You can ask questions in real time, engage in discussion with fellow classmates, and feel supported as you learn something entirely new.
All instructors are assessed for not only their professional experience in the field, but also their ability to successfully communicate complex AI concepts in a virtual environment. Instructors hold office hours before and after class where you can check in, ask questions, and problem solve on assignments.
In this first section, you will learn fundamental skills to source, prepare, and analyze data for machine learning models and AI applications. Building on these skills, you will learn to make predictive models to use for forecasting time series data.
Portfolio project: This section will culminate in a project where you will prepare data and forecast predictions. You will leverage skills learned in this first section such as programming, data preparation, visualization, and forecasting.
The second section takes your programming and data skills to the next level through learning machine learning, using supervised and unsupervised learning, evaluating models for optimal performance, and understanding the legal and ethical considerations of using artificial intelligence.
Portfolio project: This section concludes in a project where you will train machine learning models, optimize the models, and evaluate model performance in order to choose the best model for your application.
The final section of the course will explore cutting-edge AI topics such as neural networks, deep learning, natural language processing, transformers, and emerging topics in AI.
Portfolio project: The final section of the course consists of a capstone project that utilizes skills and knowledge from across the course. Learners are encouraged to explore advanced techniques utilizing neural networks and transformers.
By the time you complete the boot camp, you will have gained in-demand skills, built an impressive portfolio of AI-focused projects, and earned a valuable Certificate of Completion from Northwestern University School of Professional Studies.
This part-time program is designed for working adults, students, and busy professionals. It combines flexible virtual content with live virtual classes held outside of business hours.
| Time to complete | 24 weeks |
| Live classes | 9 hrs/week |
| Homework & projects | 20+ hrs/week |
| Class time | 3 weekday evenings (3 hrs/class) |
edX Boot Camps does not receive any commissions or payments for referrals or successful loan applications. The lender’s loan approval criteria will apply and you should consider the terms and conditions of any loan carefully. We are not credit advisors. We make no representations about whether you will be given a loan or whether a loan will be suitable for you. We are not responsible for representations made to you by any credit provider.
The mission of the Northwestern School of Professional Studies is to provide a superior Northwestern education to outstanding students whose academic pursuits must be balanced with professional or personal commitments. SPS strives to be a national leader in continuing and professional education by providing innovative learning opportunities that serve the lifelong learning needs of its students.
This program is offered through Northwestern University School of Professional Studies in partnership with edX.
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, students who have completed boot camps have been hired by 6,700+ companies, including more than 62% of the Fortune 100.
It only takes a minute to request information. You will also be put in touch with an admissions adviser who can answer questions and get your application started.