This course offers a comprehensive and engaging introduction to the world of generative AI, its foundational technologies, and its wide-ranging applications, with a focus on understanding how AI "voices"—such as chatbots, virtual assistants, and text generators—are built, trained, and used across industries. Designed for learners from diverse backgrounds, the course unfolds across three integrated modules that will progressively deepen your understanding of this transformative field.
This course begins by exploring the essential concepts and growing significance of Generative AI, including how it differs from traditional AI and why it matters in today’s world. The course then focuses on Natural Language Processing (NLP)—the core technology that enables machines to interpret and generate human language. Through practical examples, participants gain insight into how NLP powers applications such as chatbots, sentiment analysis, language translation, and content summarization. The course then introduces the main types of generative AI models, explaining their underlying mechanics, real-world uses, and the ethical considerations that accompany their deployment.
This journey provides a clear, structured pathway to understanding how Generative AI is shaping industries and redefining human-AI interaction. Throughout the course, you will engage with curated videos, beginner-friendly readings, and interactive activities that bring concepts to life. By the end of the program, you will have a solid grasp of how Generative AI works, where it's applied, and how to navigate its possibilities and responsibilities with confidence.
Number of Units: 1.0 graduate level extension credit(s) in semester hours
Who Should Attend: Anyone interested in understanding the current and future direction of AI in business, healthcare, education, finance and daily life!
Technical Requirements
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At the conclusion of this course participants will be able to:
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