WCSU-AI-0101 - Western Connecticut State University - Applied Generative A.I. Certificate
Course Description
The Applied Generative AI Certificate is an 8-week hybrid program. It’s built for adult learners, career changers, and working professionals. You’ll use real generative AI tools to create text, images, and more. No coding required. You’ll learn prompt engineering, model selection, and AI ethics. Each skill applies to real tasks in writing, design, business, or education. The program ends with a capstone project you design for your own field.
Classes will be held on Monday and Wednesday evenings from 6:00 to 8:00 PM, in a hybrid/in-person format, at WCSU’s Midtown Campus – 181 White Street, Higgins Hall, Room 104.
Learning Outcomes
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Defining and describing core concepts in generative AI, including large language models (LLMs), transformers, and embedding across text, image, audio, and video domains.
- Compare generative and predictive AI approaches, identifying appropriate use cases across business, education, and healthcare settings.
- Design and refine effective prompts for multiple output types, including content generation, summarization, image creation, and question-answering tasks.
- Evaluate generative AI outputs for quality, tone, accuracy, and alignment with user intent, applying iterative prompt engineering techniques.
- Identify and mitigate common limitations in generative AI models, such as hallucinations, context loss, overconfidence, and multilingual challenges.
- Apply ethical principles and responsible AI practices related to bias, data privacy, and secure use of AI tools in professional settings.
- Utilize accessible AI platforms to support real-world tasks such as writing, visual design, business automation, and personalized learning.
- Plan, develop, and present a no-code generative AI solution that addresses a domain-specific problem and demonstrates practical understanding of model selection, prompt engineering, and ethical considerations.
- Engage in peer collaboration, feedback exchange, and reflection to improve the design and implementation of AI-driven solutions.
- Identify trends, tools, and skills necessary to continue learning and adapting in the evolving landscape of generative AI.
Instructors
- Dr. Shahab Band