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KnowledgeCity

Fundamentals of Generative AI

Learn the basics of generative AI and how it’s changing industries.
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Course: On-Demand
Provider :  KnowledgeCity  6 Lessons ·  17m  in English 

Course Description

Generative AI is a type of artificial intelligence that creates new content like text, images, and music from existing data. This course on Fundamentals of Generative AI introduces the basic ideas and technology behind this artificial intelligence. You’ll learn how generative AI is different from other types of AI, and we’ll cover the main types of generative AI models, like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. You’ll also see how generative AI is used in industries like entertainment, marketing, and healthcare.

This course also explains some of the ethical issues that have emerged as generative AI becomes more popular, such as concerns over bias, privacy, and its potential for misuse. We’ll cover how to use these technologies responsibly and why it’s so important to be transparent about it. By the end of this course, you’ll understand how generative AI works, how it’s shaping industries today, and the key considerations for its ethical use.

Learning Objectives:

• Understand the basics of artificial intelligence

• Explain how generative AI is different from other AI models

• Identify the main types of generative AI models

• Discuss the ethical issues related to generative AI

• Explore how generative AI is used in different industries

What You'll Learn

  • Understand the basics of artificial intelligence and how AI works
  • Explain how generative AI differs from other types of AI models
  • Identify the main types of generative AI models, including GANs, Variational Autoencoders (VAEs), and transformer models
  • Discuss ethical issues related to generative AI, such as bias, privacy, and potential for misuse
  • Explore how generative AI is used in industries like entertainment, marketing, and healthcare
  • Examine future trends in generative AI

Key Takeaways

  • Generative AI is a type of artificial intelligence that creates new content like text, images, and music from existing data.
  • The main types of generative AI models include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models.
  • Generative AI is being used in industries such as entertainment, marketing, and healthcare.
  • As generative AI becomes more popular, ethical concerns have emerged over bias, privacy, and its potential for misuse.
  • Using generative AI responsibly requires transparency about its use.

Frequently Asked Questions

What does this course cover?

The course introduces the basic ideas and technology behind generative AI. It covers what artificial intelligence is, how generative AI differs from other types of AI, the main types of generative AI models (GANs, VAEs, and transformer models), ethical considerations such as bias, privacy, and misuse, how generative AI is used in industries like entertainment, marketing, and healthcare, and future trends in generative AI.

Do I need prior experience with AI to take this course?

This is a fundamentals course that starts with the basics of artificial intelligence, including a lesson on 'What Is Artificial Intelligence?', before moving into generative AI concepts.

What skills will I gain from this course?

The course builds skills in Generative Artificial Intelligence and Machine Learning.

Does the course address the ethical issues of generative AI?

Yes. It includes a lesson on ethical considerations in generative AI, covering concerns over bias, privacy, and potential for misuse, as well as how to use these technologies responsibly and why transparency is important.

What will I understand by the end of the course?

By the end, you will understand how generative AI works, how it is shaping industries today, and the key considerations for its ethical use.