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Course Description

Generative AI can be extremely useful across a range of industries and roles if it’s used effectively, ethically, and with purpose. This course will provide you with a strong foundational knowledge of generative AI, from its history to relevant use cases, so you can begin implementing AI solutions in your career.

Is This Course For You?

This course is designed for anyone interested in learning more about how generative AI can be used in their industry, and no prior experience with or knowledge of AI is required. If you’re looking for a course that will help you build a strong foundation for how generative AI works in order to effectively use it to help your career, this course is a good fit for you. This is also the first core course in the Applied Generative AI Mastery Certificate, and if you’re interested in pursuing the mastery certificate, we suggest you start with this course.

What You'll Learn

In this course, you’ll get a comprehensive introduction to generative AI, covering its history, key concepts, and various applications. You’ll gain a foundational knowledge of generative AI essential to working with this technology through the exploration of different types of generative AI models, including their architectures, use cases, and more. To display the skills you’ll gain through this course, you’ll research and present a case study about how generative AI can be used in an industry of your choice. For this case study, you’ll look at current trends for a specific use case of generative AI in your industry and speculate about how the use case might develop in the next one to three years. Once completed, this case study can be included in your professional portfolio to demonstrate your knowledge of generative AI.

How You’ll Learn

This six-week course is fully online and asynchronous, so you will have flexibility to complete your lessons each week within the given time frames. You’ll build a foundational knowledge of generative AI through activities including knowledge checks on key concepts and terminology and discussion forums where you’ll explore real-world applications with your classmates. You will also work on the case study report you’ll create for your professional portfolio, including researching primary and secondary sources and presenting your findings. You will be encouraged to use AI ethically throughout this course.

Skills You Walk Away With

By the end of this course, you will be able to:

  • Understand how generative AI models are trained and function to create new content, and how the history of generative AI has evolved to its current state.
  • Identify and describe various types of generative AI models (LLMs and Media Generators) and their applications.
  • Explore the current state, trends, and future development of generative AI and its impact on different industries.

Notes

No prior knowledge or experience with AI is required. Students should have a high-speed internet connection and be familiar with using web-based applications. All web-based applications can be run using a Mac or a PC with no software downloads required. 

Prerequisites

Students should have a working knowledge of Microsoft (Word, Excel, PowerPoint) or Google (Docs, Sheets, Slides) to complete assignments with the option to use any AI features within those applications.
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Enroll Now - Select a section to enroll in
Section Title
Introduction to Generative AI
Type
Online/Asynchronous
Dates
Jan 13, 2025 to Feb 25, 2025
Course Fee(s)
Tuition non-credit $1,000.00
Drop Request Deadline
Feb 03, 2025
Transfer Request Deadline
Feb 03, 2025
Section Title
Introduction to Generative AI
Type
Online/Asynchronous
Dates
Mar 03, 2025 to Apr 11, 2025
Course Fee(s)
Tuition non-credit $1,000.00
Drop Request Deadline
Mar 24, 2025
Transfer Request Deadline
Mar 24, 2025
Section Title
Introduction to Generative AI
Type
Online/Asynchronous
Dates
May 02, 2025 to Jun 13, 2025
Course Fee(s)
Tuition non-credit $1,000.00
Drop Request Deadline
May 23, 2025
Transfer Request Deadline
May 23, 2025
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