The N.C. Department of Information Technology has compiled the following resources from around the internet for those seeking to understand more about AI.
Stanford University Machine Learning Lectures
- Probability for Computer Scientists
- Machine Learning Full Course
- Natural Language Processing with Deep Learning
- Machine Learning Explainability
- Reinforcement Learning
- Deep Generative Models
- Building Large Language Models (LLMs)
- Machine Learning with Graphs
- Transformers United
Other Training
| Course | Description |
|---|---|
| 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 |
| 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 |
| 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 |
| Introduction to Responsible AI | Google's free eight-hour course that includes information about responsible AI and why it is essential |
| Data Science: Machine Learning | Harvard's eight-week (free to audit) course covering the basics of machine learning, how to perform cross-validation to avoid overtraining, some popular machine learning algorithms, how to build a recommendation system, and more |
| 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 |
| 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 |
| Generative AI Learning Plan for Decision Makers | Amazon's three-hour 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 |
| Generative AI for Everyone | Coursera's six-hour course covering how generative AI works, what it is, common use cases and limitations |
| Generative AI with Large Language Models | Coursera's 16-hour course that provides foundational knowledge, practical skills and a functional understanding of how generative AI works |
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