The N.C. Department of Information Technology has compiled the following resources from around the internet for those seeking to understand more about AI.
Recommended Courses
| Course | Description | Duration |
|---|---|---|
| Introduction to Generative AI | Google's course focused on explaining what generative AI is, its uses and the differences between generative AI and traditional machine learning methods | 45 minutes |
| What Is Generative AI? | Microsoft's course explaining the basics of generative AI – including what it is, how it works, creating your own content, models, predictions for the future of AI and ethics | 63 minutes |
| Your Guide to Generative AI | Learn Prompting's free course on AI that contains more than 60 content modules on how to safely and effectively use AI | Various lengths |
| Introduction to Responsible AI | Google's free course that includes information about responsible AI and why it is essential | 30 minutes |
| Chatting as a Productivity Tool | Microsoft's course covering how its chat tool can perform tasks and help streamline your workflow; addresses idea generation, data summarization and more | 35 minutes |
| Microsoft Azure AI Fundamentals: Generative AI | Covers understanding how large language models form the foundation of generative AI; describes how Azure OpenAI Service provides access to generative AI technology; explains how generative AI applications support efficiencies; describes how prompts and responses can be fine-tuned; and addresses responsible AI principles | 8 hours |
| Generative AI Learning Plan for Decision Makers | Amazon's course designed to introduce generative AI to business and technical decision makers; includes an overview of generative AI and an approach to plan a generative AI project | 3 hours |
| Generative AI for Everyone | Coursera's course covering how generative AI works, what it is, common use cases and limitations | 4 hours |
| Generative AI with Large Language Models | Coursera's advanced course that provides foundational knowledge, practical skills and a functional understanding of how generative AI works | 15 hours |
Stanford University Machine Learning Lectures
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