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30+ Minutes of Video Instruction
An introduction to the concepts involved in generative AI.
Overview
AI systems learn by processing large amounts of data, identifying patterns and relationships. AI can also use that learning to create text, images, and even code. This creative function is referred to as generative AI. This course explores the nature of generative AI by comparing it to traditional AI.
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Who Should Take This Course
Anyone who
Course Requirements
No specific requirements
Lesson Descriptions
Lesson 1: How Does AI Work?
Lesson 1 begins with a how traditional AI works, and then Kate turns to how generative AI works by comparing it to traditional AI.
Lesson 2: Introduction to Generative AI Model Types
Lesson 2 introduces image models. The lesson also covers large language models.
Lesson 3:Generative AI Models in Practice
Generative AI use cases and tools are the subject of the first part of Lesson 3. The lesson finishes with a discussion of the limitations of generative AI models.
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Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
Lesson 1: How Does AI Work?
1.1 How Traditional AI Models Work
1.2 Traditional AI versus Generative AI
Lesson 2: Introduction to Generative AI Model Types
2.1 Introduction to Image Models
2.2 Introduction to Large Language Models
Lesson 3: Generative AI Models in Practice
3.1 Generative AI Use Cases and Tools
3.2 Limitations of Generative AI Models