In this course, you will be introduced to the core concepts that enable modern artificial intelligence. You will learn about the historical and scientific contexts that AI emerged from, the baseline concepts that enable AI, linear regression, and how neural networks are able to "recognize" images.
Upon completing this course, you should be able to:
Describe the historical background of AI.
Describe how scientific breakthroughs are viewed.
Identify the tech breakthroughs that enable AI.
Describe how generative AI is used.
Describe how neural networks detect images.
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.