Graduate Certificate in AI Foundations for Product Innovation
Starting August 2020: An online graduate-level program in applied AI and Machine Learning designed for working professionals
Artificial intelligence and machine learning are creating immense opportunities for innovation in products and services across every industry, from health care to energy to manufacturing—and beyond.
Duke’s online Graduate Certificate in AI Foundations for Product Innovation is a standalone, credit-bearing non-degree offering aimed at professionals who want to keep working and keep learning. Learn how to apply these technologies within your industry to build innovative products and services.
This certificate can be completed in 15 months. You pay tuition per course without the commitment required for a traditional degree program.
Plus, for applicants who can start in August 2020 there is:
- No application fee
- No GRE required
- Scholarship consideration
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- Is this program right for you? »
- View an overview and sign up for live Q&A events with the director »
- Curriculum and courses »
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A limited number of merit-based scholarships covering 20 percent of tuition are available. No separate application required—all applicants are automatically considered.
Apply by July 17, 2020—Start Python Bootcamp on August 17
- Open to qualified applicants worldwide
- GRE is not required for this certificate
- No application fee for applicants to the 2020-2021 academic year
What You'll Receive
A great education! You'll develop a strong grasp of AI and Machine Learning fundamentals—as well as the business, policy, and ethical considerations of implementing them in products and services.
Also, as a Duke online student you will:
- Experience online courses taught by expert Duke faculty and industry practitioners
- Build a portfolio of real-world, hands-on projects
- Receive individualized course advising
- Be engaged with outstanding peers around the world and with our faculty
- Be invited to attend an optional on-campus workshop and reception
- Earn credits toward a Master of Engineering in AI for Product Innovation, if you decide to continue at Duke
Is This Program Right for You?
In general, applicants should:
- Hold at least a bachelor’s degree in engineering or science
- Have education and/or professional experience in a technical or scientific industry, and a desire to learn to apply AI within the industry
- Have at least one semester of experience in programming in any language, Python preferred. An extensive programming background is not required for admission
- Expect to provide a statement of purpose, resume and letters of recommendation
“There is a growing need for engineers with domain knowledge plus machine learning skills, and Duke’s AI for Product Innovation program helps address that need with its focus on developing leaders who can apply advanced analytics to create new products & services.”
Adnan Haider ’07
Associate Partner, Advanced Analytics & AI, IBM
Certificate students will complete a preparatory bootcamp and a series of four core courses designed with input from industry experts and structured around the product development process.
The novel curriculum is designed to build foundational skills in AI and machine learning, combined with a heavy emphasis on applying these technologies to real-world problems.
Courses cover key aspects of the product development process for building AI-enabled products and, in addition to core technical knowledge, students will gain an understanding of the business, legal and ethical aspects of utilizing AI.
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Online Summer Python Bootcamp
The Python Bootcamp is a six-week online summer training course for working professionals in the fundamentals of Python programming, the commonly used libraries for data analysis, and the basics of probability and statistics. Python Bootcamp ensures each student is well-prepared to enter the core courses of the certificate program.
510: Sourcing Data for Analytics
520: Modeling Process & Algorithms
530: Applying AI in Practice
540: Building Products Using Deep Learning
The online courses are taught by Duke faculty members with industry experience—and who teach these same courses in classrooms on the Duke campus.
A former technology executive who was responsible for launching predictive analytics products on which over half of major US electric utilities and global airlines depend.
Twenty-eight years of experience in technical leadership roles at Cisco Systems and AT&T Labs. Winner of Cisco’s highest technical recognition.
Data & Analytics Faculty
Founder and CEO of a series of venture-backed technology companies before joining the Duke faculty.
“The strength of Duke’s reputation in AI and Machine Learning, combined with the focus on applying these technologies to solve the world’s big challenges in healthcare, retail, energy and beyond, make Duke the logical choice for someone interested in pursuing education in this space.”
TARUN THAPAR, ’15
SENIOR PRODUCT MANAGER-PERSONALIZATION, WAYFAIR
Tuition is paid per course. A limited number of merit-based scholarships are available.
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Duke Online tuition for the 2020-2021 academic year is $7,338 per course.
There are two semesters per academic year. Students typically take one course per semester. At current rates, completion of the four required program courses would result in a total tuition cost of $29,352.
For students joining the certificate program in the 2020-21 academic year, a limited number of merit-based scholarships are available which cover 20 percent of tuition expenses. All applicants to the program will be automatically considered for the available scholarships.
All entering students will be charged in the first semester a one-time mandatory fee of $120 for transcripts. This fee entitles the student to an unlimited number of Duke transcripts.
Payment of Accounts
The Office of the Bursar will issue invoices to registered students for tuition, fees, and other charges approximately four to six weeks prior to the beginning of classes each semester. The total amount due on the invoice is payable by the invoice late payment date which is normally one week prior to the beginning of classes. A student is required to pay all invoices as presented and will be in default if the total amount is not paid in full by the due date. A student in default will not be allowed to receive a transcript of academic records.
Have a question? Contact our admissions team. We look forward to hearing from you!