Program Specifics

AI Academy Program Format

The AI Academy program is an innovative program designed in collaboration with over 30 partners including IBM, Citrix, Hazardous Software and others. The program is a combination of 40 weeks of live, online, coursework and option for on-the-job training working alongside an AI industry professional. In 2022 there will be two entry-points into the program for participants to begin their work: January 10 (Cohort 3) and July 11 (Cohort 4). We anticipate enrolling approximately 1000 individuals in each.

Ways to Participate

The AI Academy is subsidized by the U.S. Department of Labor and, therefore, all participants must be current U.S. citizens. There are two ways to participate in the AI Academy:

  1. UpSkilling Track
  2. General Track

UpSkilling Track

One way to participate in the AI Academy is for individuals to ask their current employer to financially sponsor them to participate in the program as part of their professional development. This type of enrollment is called the UPSKILLING TRACK – meaning your employer is supporting you to grow your expertise in AI. The design of the UPSKILLING TRACK is for the employer or industry partner to invest in the participant by paying their fees for coursework ($1,750 per class = $7,000 for the program) and also pay the individual an entry-level part-time hourly rate for their time worked in the apprenticeship work with their AI industry mentor.

Potential applicants who are currently working should inquire with their employer regarding availability of funding to pay for their program costs ($7,000) and their flexibility to allow time within their paid work schedule to work with an AI professional within the company who will serve as their mentor. If the employer is willing to sponsor you, but there is not a person in your organization working in AI yet, we can assist with placing you with an AI Academy industry partner who will host you. Your employer will need to continue to pay you during these released hours.

General Track

The second way to participate in the AI Academy is to apply through our general applicant pool. There are thousands of employers who are looking for new talent in artificial intelligence and this program will prepare you to be very competitive for those positions.  The GENERAL TRACK provides our participants an excellent way to gain new knowledge, skills, and credentials while learning more about a future career in artificial intelligence.

AI Academy Course Format

The AI Academy curriculum is comprised of four courses: Computer Programming with Python, Introduction to Artificial Intelligence, Data Mining, and Machine Learning. You will complete one course each ten weeks of the program. There will be live, online course meetings each week using Zoom videoconferencing technologies. First, there will be a pre-recorded SEMINAR each week, which is a 120 minute session where the introduction of new concepts, skills, and tasks will be presented and discussed. Each course will also include two WORKSHOP sessions each week which are 120 minutes each where participants will be guided through the application of content as they complete group and individual tasks to grow their understanding of the content.

AI Academy Schedule

SCHEDULE FOR COHORTS ONE AND TWO

January 10, 2022 to March 18, 2022

Course #3: Machine Learning

Lead Instructor: Dr. Min Chi, NC State

 

April 4, 2022 to June 17, 2022 (No class the week of May 30th)

Course #4: Human-Computer Interaction

Lead Instructor: Dr. Noboru Matsuda, NC State

 

SCHEDULE FOR COHORT THREE

START DATE – January 10, 2022

 

January 10, 2022 to March 18, 2022

Course#1: Computer Programming with Python

Lead Instructor: James Robinson, NC State

 

April 4, 2022 to June 17, 2022 (No class the week of  May 30th)

Course#2: Data Mining

Lead Instructor: Dr. Thomas Price, NC State

 

July 11, 2022 to September 16, 2022 (No class on September 5th)

Course #3: Introduction to Artificial Intelligence (AI)

Lead Instructor: Dr. Collin Lynch, NC State

 

October 3, 2022 to December 16, 2022 (No class the week of  November 21st)

Course #4: Machine Learning

Lead Instructor: Dr. Min Chi, NC State

 

SCHEDULES FOR COHORTS 4-6 FORTHCOMING