In the rapidly evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force, reshaping education and industries, influencing societal norms, and pushing the boundaries of innovation. The current trends in AI, including advancements in machine learning, deep learning, natural language processing, and robotics, demonstrate the technology's potential to solve complex problems, enhance efficiency, and create new opportunities for human-machine collaboration.
These technological strides also bring forth critical debates surrounding ethics, privacy, employment, and the future of human autonomy, necessitating a comprehensive understanding of AI among professionals.
Whether you are in K-12, higher education, or an educator in business and industry, this course will equip learners with a foundational understanding of AI principles, applications, and ethical considerations in industry and the K-12 and higher education classrooms and curriculum.
This course will equip learners with a foundational understanding of AI principles, applications, and ethical considerations in industry and the K-12 and higher education classrooms and curriculum. By offering a holistic view of AI's historical evolution, technical underpinnings, and its impact on education and various sectors, the course aims to foster informed debate, encourage responsible use, and prepare individuals to navigate the complexities of a future intertwined with artificial intelligence.
We invite you to enroll in our courses to meet your professional development goals if you seek a career change, graduate credits, or just a refresher course.
Register now to reserve a spot. There is no registration fee to reserve a class. No transcripts are required.
EDUC 796 Foundations of Artificial Intelligence for Educators (3 Credits)
Fall: October 20, 2025 - December 12, 2025
Tuition: $485 per semester hour graduate credit ($1,455 for a three-credit course)
Fall Tuition Due: October 8, 2025
Spring: March 2 - April 24, 2026
Tuition: $485 per semester hour graduate credit ($1,455 for a three-credit course)
Spring Tuition Due: March 4, 2026
If you need a copy of the syllabus for your employer to approve enrollment in the class, email: Online Professional Development.
Online Course
3 Graduate credits
Instructor: Nicholas Endvick
This course is an approved elective in the Master of Science in Education online degree program.
Our 8-week Foundations of AI for Educators course includes:
- Examining fundamentals of artificial intelligence and illustrate its significance and everyday applications in education.
- Evaluating AI tools.
- Developing effective AI prompts and critically assessing the quality and relevance of AI responses to improve interaction design.
- Experimenting with emerging AI technologies to assess their functionality, novelty, and potential impact, ensuring ongoing awareness of advancements in the field.
- Implementing a practical AI project that demonstrates an understanding of AI's real-world applications across K-12 and higher education classrooms and various industries.
- Examining ethics within AI, in the classroom, and academic institutions.
- Analyzing biases present in AI algorithms, evaluating their consequences on equity and fairness, and proposing inclusive solutions.
- Assessing the broader impact of AI applications across academia, predicting future AI trends and implications.
Who Should Enroll:
- K-12 instructors
- Higher education faculty & staff
- Training professionals
- Instructional designers
- Technology integration specialists
- E-learning developers
- Continuing education professionals
Complete the Online Registration Form.
If you need a copy of the syllabus for your employer to approve enrollment in the class, email: Online Professional Development.
When is the registration deadline?
Reserve your spot now. Courses fill well before the start date. This course is offered three times each year (spring, summer, and fall).
This course is an approved elective in the Master of Science in Education online degree program.
There is no textbook required for this course; OERs will be available via the course modules.
Yes, if you are enrolled in the University of Wisconsin-Stout Master of Science in Education program and enrolled in a minimum of five (5) credits.
- Participate 24/7 from your home or work computer during hours that are best for your work and family schedule.
- The class is highly interactive with a significant discussion component.
- All discussion postings, projects, and assignments will be submitted via the course discussion board and dropbox.
- Activities are conducted according to a schedule with specific due dates each week.
- There are no required "live" chat sessions.
- This is not a self-paced class.