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Person typing on a laptop with digital holograms of artificial intelligence (AI) icons, code, neural network graphics, and data interfaces overlaid in the foreground, representing AI technology and machine learning development.
Course List

Foundations of Artificial Intelligence

Technical Diploma

The Foundations of Artificial Intelligence Technical Diploma is a 4 Credit program. The following is a typical semester breakdown of the courses within the program.

Get Started

The application takes just a few minutes to complete.

Credit for Prior Learning Available

College 101 1.00
Introduction to AI 1.00
Business Applications of AI 1.00
Ethics and Implications of AI 1.00

College 101 (10890165)

1.00

Examines proven strategies designed to help learners achieve greater personal, academic, and professional success. Learners will apply personal responsibility thinking and behaviors; self- management, awareness, and motivation strategies; as well as interdependence skills to develop a proactive life plan.

NTC Assessments Offered:

View Course Dates & Times

This table provides a quick look at how this course is being offered. Please note that course section availability, dates, times, instruction modes and locations are subject to change, so be sure to confirm details closer to registration.

Section Status Start/End Date Register By Instruction Mode Campus Meeting Information
01 Fall
Open
Aug 25 –
Oct 13
 Aug 30 In-Person Wausau Main Campus
Aug 25 – Oct 13
Monday
11:00 AM - 12:50 PM
A208 - Classroom - A Building
Sarah Watson
03AYW Fall
Open
Aug 25 –
Oct 17
 Aug 30 Attend Your Way Online Available Wausau Main Campus
Aug 25 – Oct 17
Wednesday
11:00 AM - 12:50 PM
A208 - Classroom - A Building
Sarah Watson
06 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Brad Gast
07 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Brad Gast
08 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Amy Denissen
09 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Amy Denissen
10 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Michelle Knaup
11 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Michelle Knaup
12 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Candace Hinz
13 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Candace Hinz
14 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
May Thao
15 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
May Thao
16 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Sara Bartelt
17 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Sara Bartelt
18 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Sarah Watson
19 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Sarah Watson
20 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Heidi Chitwood
21 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Heidi Chitwood
22 Fall
Waitlist
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Brooke Schindler
23 Fall
Open
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
Matt Hoenecke
24 Fall
Closed
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
25 Fall
Closed
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
26 Fall
Closed
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
27 Fall
Closed
Aug 25 –
Oct 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 17
-
Online
50 Fall
Open
Aug 25 –
Dec 17
 Aug 30 Online Required Due Dates Online
Aug 25 – Dec 17
-
Online
Lindsey Zakrzewski
02 Fall
Open
Aug 26 –
Oct 14
 Aug 30 In-Person Wausau Main Campus
Aug 26 – Oct 14
Tuesday
01:00 PM - 02:50 PM
A213 - Classroom - A Building
Heidi Chitwood
04 Fall
Open
Aug 27 –
Oct 15
 Aug 30 In-Person Wausau Main Campus
Aug 27 – Oct 15
Wednesday
06:00 PM - 07:50 PM
A213 - Classroom - A Building
Sarah Watson
28 Fall
Waitlist
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Brad Gast
29 Fall
Waitlist
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Brad Gast
30 Fall
Waitlist
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Amy Denissen
31 Fall
Waitlist
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Amy Denissen
32 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Michelle Knaup
33 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Michelle Knaup
34 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Candace Hinz
35 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Candace Hinz
36 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
May Thao
37 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
May Thao
38 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Sara Bartelt
39 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
Sara Bartelt
40 Fall
Open
Oct 20 –
Dec 17
 Oct 25 Online Required Due Dates Online
Oct 20 – Dec 17
-
Online
05 Fall
Open
Oct 23 –
Dec 11
 Oct 25 In-Person Wausau Main Campus
Oct 23 – Dec 11
Thursday
10:00 AM - 11:50 AM
A216 - Classroom - A Building
Sarah Watson
Back up to Course List

Introduction to AI (10156121)

1.00

Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.

View Course Dates & Times

This table provides a quick look at how this course is being offered. Please note that course section availability, dates, times, instruction modes and locations are subject to change, so be sure to confirm details closer to registration.

Section Status Start/End Date Register By Instruction Mode Campus Meeting Information
01 Fall
Open
Aug 25 –
Oct 1
 Aug 30 Online Required Due Dates Online
Aug 25 – Oct 1
-
Online
Joshua Stutting
Back up to Course List

Business Applications of AI (10156122)

1.00

Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.

View Course Dates & Times

This table provides a quick look at how this course is being offered. Please note that course section availability, dates, times, instruction modes and locations are subject to change, so be sure to confirm details closer to registration.

Section Status Start/End Date Register By Instruction Mode Campus Meeting Information
01 Fall
Open
Oct 6 –
Nov 5
 Aug 30 Online Required Due Dates Online
Oct 6 – Nov 5
-
Online
Joshua Stutting
Back up to Course List

Ethics and Implications of AI (10156123)

1.00

Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

View Course Dates & Times

This table provides a quick look at how this course is being offered. Please note that course section availability, dates, times, instruction modes and locations are subject to change, so be sure to confirm details closer to registration.

Section Status Start/End Date Register By Instruction Mode Campus Meeting Information
01 Fall
Open
Nov 10 –
Dec 17
 Oct 25 Online Required Due Dates Online
Nov 10 – Dec 17
-
Online
Joshua Stutting
Back up to Course List

Test-Out Option Term Definitions

Test

An exam that is scored by faculty or staff in NTC’s Testing Center.

Skill Demonstration

A performance of your expertise that is evaluated by faculty.

Combination: Test & Skill Demonstration

A combination of both a test and a skill demonstration.

Portfolio

A collection and explanation of your past learning through work or life experience.

Have Questions?

If you have questions about this program, please contact our Career Coaches at 715.803.1645.

If you have further questions regarding our Credit for Prior Learning options, please contact Student Records at studentrecords@ntc.edu or 715.803.1796.