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Course Description

This course introduces participants to the rapidly evolving field of Generative Artificial Intelligence (GAI) — the technology behind ChatGPT, DALL·E, Gemini, Claude, and other content creation systems. Using hands-on exercises with popular AI tools.you will learn how generative models work, explore their applications in text, images, audio, and video. 

 

By the end of this course, you will have the skills to create, evaluate, and responsibly apply Generative AI solutions across education, business, and creative domains. Emphasis will also be placed on AI ethics, prompt engineering, and future workforce implications.

Learner Outcomes

Upon successful completion of this course, you will be able to:

 

  1. Explain the key concepts of Artificial Intelligence, Machine Learning, and Generative AI.
     

  2. Describe how generative models such as GPT, diffusion models, and GANs operate.
     

  3. Use major Generative AI tools (e.g., ChatGPT, DALL·E, Copilot, Gemini) to produce text, images, and code.
     

  4. Apply prompt engineering strategies to achieve high-quality AI outputs.
     

  5. Evaluate the limitations, biases, and ethical challenges of Generative AI systems.
     

  6. Implement basic workflows integrating Generative AI into productivity and creative tasks.
     

  7. Develop a small-scale Generative AI project demonstrating applied understanding.

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Enroll Now - Select a section to enroll in

Type
Online - Real-time
Days
M, W
Time
2:00PM to 3:30PM
Dates
Mar 16, 2026 to Apr 15, 2026
Schedule and Location
View Details
Contact Hours
15.0
Location
Delivery Options
Online Synchronous (Statewide)  
Course Fee(s)
Tuition non-credit $695.00
CEUs
1.5 CEUs
Type
Online - Real-time
Days
W, M
Time
2:00PM to 3:30PM
Dates
Sep 02, 2026 to Oct 26, 2026
Schedule and Location
View Details
Contact Hours
22.5
Location
Delivery Options
Online Synchronous (Statewide)  
Course Fee(s)
Tuition non-credit $695.00
CEUs
2.25 CEUs
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