An eleven-week program covering Artificial Intelligence and Deep Learning for IT professionals
DePaul University's Introduction to Artificial Intelligence and Deep Learning Program is designed for IT professionals who want to understand the fundamental principles of Artificial Intelligence and Deep Learning and be able to apply them to their businesses. The program is suitable for data scientists and analytics professionals wanting to make the transition from Business Intelligence to Artificial Intelligence and to bring their Machine Learning knowledge to the next level—Deep Learning. The program focuses on Artificial Intelligence, Cognitive Analytics, Machine Learning, Deep Learning, Natural Language Processing (NLP), Knowledge Engineering, Digital Voice Assistant/Chatbot, Image/Video Recognition, Robotics Process Automation (RPA), and Augmented Reality. In addition, the program also covers Big Data analytics techniques that are used in the industry relating to Cloud, Mobile, and Internet of Things (IoT).
Program content consists of lectures and demonstrations complemented with hands-on labs. Reading assignments, case studies, group discussions, and projects will be assigned. The program will prepare students with the necessary skills to create efficient AI and Machine Learning applications to solve business problems and improve business processes.
In order to maximize learning, students will be required to bring their own laptop computer to every class session. Several Cloud-based products for AI and Deep Learning will be explored. While access to most of these Cloud services will be provided to students in class, there may be some Cloud services that are only accessible via the use of the student’s own credit card. Students should expect to spend a small fee to access these services.
Students in this program will be able to:
- Identify basic concepts, terminology, models and methods in the field of AI
- Develop Artificial Intelligence applications using Cloud-based tools
- Discover and experience various solutions provided by AI
- Gain insight in the use of AI and advanced analytics to identify customer behavior patterns and make the best use of available data
- Work with data to build and train machine learning models that power interactive bots
- Gain real-world experience through lab work and a project to demonstrate the skills learned
- Use different bot frameworks to implement conversational bots and Digital Assistants
- Use various Deep Learning algorithms and tools to build models to solve business problems
- Understand the capabilities provided by various Big Data Analytics frameworks integrated with different Artificial Intelligence and Deep Learning systems and APIs offered by Google, Amazon, Microsoft, IBM, etc.
For a completed program description, download the program's brochure
Dates & Location
Autumn Quarter 2019:
Application Deadline:Late Aug. 2019
Tuition Deadline:Late Aug. 2019
Classes Begin:Week of Sept. 16th (Dates TBA)
Classes End:Week of Nov. 25th (Dates TBA)
On-campus section: Classes meet one evening per week (5:45pm-9pm; weeknight to be announced) at DePaul's Loop Campus at 243 S. Wabash Avenue, Chicago.
Online section: Students may elect to register in an online section of this program. For more information about the online section, click
Autumn Quarter 2019
Regular DePaul University students are charged the above rates based on their degree program. The tuition fee for this program is not included in the university's tuition package for full-time undergraduate students.
Full payment of tuition must be received before the start of the program. Students who elect to pay tuition using a credit or debit card will be assessed a non-redundable 2.75% convenience fee.
Refund/Cancellation Policy: DePaul reserves the right to cancel any program before that program’s first scheduled meeting, in which case tuition fees (but not convenience fees) will be refunded. The university's refund policy allows a return of 100% of tuition if the student drops the Introduction to Artificial Intelligence and Deep Learning Program within two weeks of the first day of the program (convenience fees will not be refunded).
Each program requires a $40.00 (non-refundable) application fee that can be paid online (via credit card) during the online application process. If you need to pay this fee by check or money order, please make the check or money order payable to DePaul University and send it to:
DePaul University Institute for Professional Development
243 S. Wabash Avenue
Chicago, IL 60604
Textbooks are a separate purchase to be made by students.
Reading materials for certificate programs consist of textbooks and supplementary handouts. Textbook readings are considered preparatory in nature and are typically assigned prior to lectures; supplementary handouts are frequently distributed in class to provide additional information.
There are no textbooks for this session.
Fees are payable by check made out to DePaul University, or by credit card. Students who elect to pay tuition using a credit or debit card will be assessed a non-redundable 2.75% convenience fee.
Applicants who are eligible for a tuition reimbursement program offered by their employer and are interested in deferring their tuition payment using the university's Employer Tuition Deferral Plan must return the Employer Tuition Deferral Plan application to the Institute for Professional Development Office. Submitting this application to any other DePaul office may delay the student's registration process. Information about this plan, along with an application form, is found
Applicants who wish to use the university's Single Term Payment Plan or a third-party billing arrangement should contact the Institute for Professional Development office at (312) 362-6282 for details.
The program is suitable for data scientists, business analytics, and other IT professionals who already have a basic understanding of Machine Learning concepts. Basic experience with Python programming is also required. Experience using Cloud services is assumed. In addition, students are required to bring their own laptop computers running either Windows or Mac OS to class.
The Introduction to Artificial Intelligence and Deep Learning Program is catalogued as a non-credit course of DePaul University. A certificate of completion from DePaul University is awarded to those who successfully complete the program's requirements. Program requirements include reading assignments, labs, case studies, group discussions, and a final project. No midterm or final exams are conducted.
Course #: IPD 236
The Introduction to Artificial Intelligence and Deep Learning Program is a graded course. A final grade letter as well as a DePaul transcript (upon request) will be available upon program completion.
Application & Registration Procedure
All interested parties should apply for admission using the Institute for Professional Development's
online application; or, to apply via fax, mail, or in person, print out and complete the
Application Form. Upon admission, the Institute office will contact the prospective student with information and instructions about the registration process.
Registration is restricted to admitted students. IPD staff will register students upon receipt of payment and registration form. Regular DePaul students cannot register themselves via the university's registration system.