Foundations of AI
Foundations of AI Technical Certificate, 17 credits
Program Code: 40-156-CF
The minimum required course grades and program grade point average (GPA) for students under this catalog are:
Core Courses = C General Studies Courses = C Program GPA = 2.0
| Code | Title | Credits |
|---|---|---|
| Required Courses: | ||
| 152-101 | Python Programming | 1 |
| 156-107 | Data Modeling | 2 |
| 156-109 | Intro to SQL | 2 |
| 156-110 | Data Visualization & Reporting | 2 |
| 156-111 | Intro to Data Analytics | 2 |
| 156-113 | Python Data Manipulation | 2 |
| 156-114 | Business Applications of AI | 3 |
| 156-119 | Data Concepts | 2 |
| General Studies Courses | ||
| 804-189 | Introductory Statistics | 3 |
| Total Credits | 19 | |
| First Year | ||
|---|---|---|
| Fall Term 1 | Credits | |
| 156-119 | Data Concepts | 2 |
| Credits | 2 | |
| Fall Term 2 | ||
| 156-107 | Data Modeling | 2 |
| 156-109 | Intro to SQL | 2 |
| 156-114 | Business Applications of AI | 3 |
| Credits | 7 | |
| Spring Term 1 | ||
| 152-101 | Python Programming | 1 |
| 156-110 | Data Visualization & Reporting | 2 |
| Credits | 3 | |
| Spring Term 2 | ||
| 156-113 | Python Data Manipulation | 2 |
| Credits | 2 | |
| Second Year | ||
| Summer Term | ||
| 804-189 | Introductory Statistics | 3 |
| Credits | 3 | |
| Fall Term 1 | ||
| 156-111 | Intro to Data Analytics | 2 |
| Credits | 2 | |
| Total Credits | 19 | |