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University of Richmond
AI Boot Camp
Harness the power of artificial intelligence to help any organization move more efficiently, cut costs, and solve complex business challenges.
- Access free one-on-one tutoring sessions.
- Tap into a network of 250+ employer partners.
- Build an impressive portfolio by the time you complete the program.
- Learn invaluable skills like machine learning and natural language processing.
Part time, online
24 weeks, starts
OVERVIEW
Online AI Boot Camp Classes
Students in the University of Richmond AI Boot Camp will complete the program equipped with the skills employers are actively seeking. You will build a strong foundation in artificial intelligence and machine learning and then expand your knowledge with the latest tools, technologies, and methodologies. From generative AI to Python, learners in this boot camp will refine their abilities under the guidance of experienced instructors — and craft an impressive portfolio.
- Get on-demand academic support.
- Develop job-ready skills in just 24 weeks.
- Study in-demand tools and technologies.
- Receive attentive career planning support, tailored to you and your needs.
Is an AI Boot Camp Right for Me?
This AI boot camp is designed to equip students like you with a strong foundation of skills required to stand out in a competitive industry. If any of the following apply to you, our boot camp can help you achieve your goals and stand out in your career:
You’re currently working as a data or business analyst and looking to take your tech career to the next level by adding machine learning, programming, and AI model training tools to your resume.
You want to apply AI techniques and methodology in your current role to further drive growth for your organization and be the one your team turns to for new ways to solve complex business problems.
You are a tech enthusiast who wants to get your foot in the door of the networking and security space.
You’re looking to build a career in tech from the ground up more quickly than a traditional degree program and want to leverage AI model training tools in your chosen industry.
CAREERS
AI Career Outcomes
Behind every smart device is a smarter human. Which is why the demand for AI professionals is growing rapidly and offering great opportunities for career growth.
37.3%
Market increase
After a US$196.63 billion market valuation in 2023, the sector is expected to grow significantly from 2023 to 2030.1
39%
Businesses hiring
Software engineers were hired by almost 40 percent of businesses in 2022.2
21x
Job postings increase
In a 2023 report, the number of job postings referencing new AI technologies has increased drastically since November 2022. 3
1 Artificial Intelligence Market Size & Trends. (2023). Grand View Research. Retrieved April 10, 2024.
2 The State of AI in 2022 — and a Half Decade in Review. (2022). McKinsey & Company. Retrieved April 10, 2024.
3 Future of Work Report: AI at Work. (2023). LinkedIn. Retrieved April 10, 2024.
What Employers Are Saying About the Boot Camp
Don’t just take our word for it. See what hiring managers and tech leaders across the globe with experience are saying about the AI Boot Camp. From top research universities to start-ups, these leaders have their fingers on the pulse of what AI skills are needed today and tomorrow.
Testimonials come from paid members of the edX AI advisory council.
Jobs in AI
Our AI boot camp provides a foundation that can prepare you for various roles in the field. Job requirements vary between companies, so depending on your prior work and academic experience, the skills you acquire during the boot camp and any additional industry experience you gain in the future, you may consider careers such as:
Analyze data and develop algorithms using the latest AI theory, and study existing AI to build upon new models.
Develop and program the algorithms from which AI functions, combining software, programming, and data science expertise to train more efficient AI.
Design and implement the infrastructure of AI applications, as well as databases and computer networks.
Utilize data collection to inform the optimization of computers, using image recognition and machine learning to advance the capability of processing data.
Career Services Team
Our dedicated career services team will help you navigate the challenging and rapidly evolving AI landscape. We’re committed to supporting each student throughout their career journey, tapping into our network of partners to offer relevant industry workshops, networking opportunities, portfolio reviews, career coaching, and much more. You’ll also be assigned a career director and profile coach to help you combine both your technical and soft skills with the necessary tools and mindset to enter the job market.
You’ll have exclusive access to free professional resources throughout your career as well as job referrals from our network of 250+ partners.
AI Jobs Are in Demand in Virginia
Virginia has a blossoming AI jobs market. Technology, manufacturing, retail, and finance companies across the state are in need of AI skills. Artificial Intelligence professionals allow companies to further automate and optimize their resources and efficiency — and the salaries are reflecting this increase in demand.
- 24,417 AI positions opened in Virginia in 2023.1
- 3rd highest number of AI jobs in a U.S. state.2
- 3,400 projected annual job openings for computer/information research scientists through 2032.3
1 Artificial Intelligence Index Report. (2024). Stanford University. Retrieved April 18, 2024.
2 Artificial Intelligence Index Report. (2024). Stanford University. Retrieved April 18, 2024.
3 Projected Employment for Computer and Information Research Scientists in Virginia. (2024). CareerOneStop. Retrieved April 11, 2024.
CURRICULUM
Online AI Curriculum
Our immersive, hands-on curriculum, will help equip you with a wide variety of programming, data, and machine learning skills. This market-driven curriculum is delivered through live, online classes and through high-quality coursework that’s immediately applicable to a professional environment across a range of industries. Our instructors are fully vetted by the university and offer one-on-one virtual guidance whenever you need it.
Description: Gain the 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.
Description: Take your programming and data skills to the next level with machine learning. You’ll use supervised and unsupervised learning, evaluate models for optimal performance, and explore 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.
Description: 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, including advanced techniques such as neural networks and transformers.
AI Skills You’ll Gain
By the time you complete this boot camp, you’ll be equipped with a wide variety of programming, data, and machine learning skills. You’ll be prepared to create Python-based scripts, interact with APIs using Python Requests and JSON parsing techniques, use data-driven programming languages and libraries, and much more. The market-relevant topics covered in the curriculum include:*
Programming for Artificial Intelligence
Fundamental Python Syntax
Python Coding Logic & Reasoning
Python Script & Dictionary Creation
Making Predictions with Data
Data Modeling
Data Forecasting
Time Series Data
Machine Learning Optimization
Evaluating Model Performance
Imbalanced Data
Model Selection for Success Metrics
Limitations of Traditional Models
AI Ethics
Legal and Ethical Considerations
Data Reproducibility
Algorithmic Bias
Data Privacy Regulations
Deep Learning
Deep Learning vs. Neural Networks
Deep Learning on TensorFlow and Keras
Natural Language Processing
Natural Language Processing
Tokenization
Word Models
Linting
Emerging Topics
Generative AI
AI Applications Outside the Computer
Active Research Areas
Ethics and Regulation
*The material covered is subject to change. Our academic team adjusts to the market demand.
SCHEDULE & DATES
Online AI Schedule
Classes begin quarterly. You can visit our schedule page for upcoming dates and class times. Part-time classes are held on three weekday evenings from 6:30 to 9:30 p.m. ET. or 7:30 p.m. to 10:30 p.m. ET.
| Program | Time to Complete | Live Instruction | Homework & Projects | Class Time |
|---|---|---|---|---|
| Part Time, Online | 24 weeks | 9 hrs/week | 20+ hrs/week | 9 hrs/week; 3 weeknights, 7:00 p.m. – 10:00 p.m. ET or 6:00 p.m. – 9:00 p.m. CT |
How to Apply
It will only take you a minute to request information and be put in touch with a member of the admissions team. They can then answer any enrollment questions you have, and help you get your application started.
- Fill out the program interest form
Complete the form and wait for an admissions advisor to get in touch with you. - Speak with an advisor
Connect with an advisor to discuss the program and talk through your goals. - Complete your assessment and application
Fill out a short application and take a multiple-choice, critical thinking and problem-solving assessment. - Discuss boot camp tuition
Connect with admissions to discuss financial options and payment. - Start your boot camp
Finalize your enrollment and pay your deposit to begin your new boot camp journey.
Currently Enrolling
Not sure if the AI boot camp is right for you? Explore the other boot camps we offer.
About the Boot Camp
University of Richmond AI Boot Camp, offered in partnership with edX, is made available through a unique consortium delivery model to provide skills-based learning to participants across Virginia and beyond. Participants will be taught by a university-approved instructor, while learning alongside students from other consortium-participating universities and institutions. Upon meeting the completion requirements, participants will be issued a non-credit Certificate of Completion from University of Richmond.
COST & FINANCING
Boot Camp Fee and Financing Options
AI Boot Camp Fee: $11,000
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.
Got a question? Chat with a member of the admissions team about financing options.
EXPERIENCE
The Online Boot Camp Experience
Build your skills online, in your own time. Our flexible, but structured, approach to online education offers convenient evening classes that ensure you are able to advance your AI capabilities, even if you’re currently employed or in school.
Engaging Online Classes
Learn how to use fundamental AI tools, and put them into action through practical exercises.
Real-World Projects
Our market-driven curriculum teaches you the most in-demand AI and machine learning models through real-world examples. Everything you learn is immediately applicable to a professional environment across a range of industries.
Peer Network
Connect with a powerful network of engaged instructors, TAs, peers, and former students.
Unparalleled Support
Receive 24/7 on-demand learning assistance via text or video chat and have access to one-on-one tutors when needed.
Career Planning
Receive direct access to resources, events, and career pathing support from a dedicated Career Services team that’s focused on helping you reach your professional goals.
Industry Connections
Learn from the best in the industry and meet our network of 250+ employer partners who love to hire boot camp students.
How We Support You
Students receive exceptional support from admissions to program completion. We’re committed to helping you succeed with virtual office hours and a dedicated Slack channel for assistance from instructors, support staff, and classmates.
This team is made up of experienced AI professionals who will help you work through the program materials.
This network of tutors will offer you hands-on support at every step of your learning journey.
Your dedicated student success manager will keep you up to date with your classes and resources on Slack.
Career services will assist you with coaching, resume reviews, and interview preparation so that you’re fully prepared for the outside world.
This is a group of peers who you will collaborate with on coursework and projects. These will be connections for life, and will be a valuable network to foster.
FAQ
Learn More About Our AI Boot Camp Offerings
Students can complete the program in six months (24 weeks).
No previous experience is required; 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.
The cost of the program is $11,000.* Payment plans are available for those who qualify.
*Tuition is subject to change.
Our program has an application process and is not open enrollment. Once a prospective student fills out the form or calls our admissions department, they will go through an initial phone interview with an advisor. Applicants who are recommended to move forward will then take a critical thinking and problem-solving assessment.
Still Need Some Help?
Ready to learn more about the AI boot camp? We’re here to help you begin your journey toward a future in AI.
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