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Fundamentals of Generative AI
Learn the basics of generative AI and how it’s changing industries.Preview the first lesson free — get full access to all 8 lessons.
Essential Provider : KnowledgeCity 8 Lessons · 19m in Arabic, English, Spanish
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.
What You'll Learn
- Understand the basics of artificial intelligence and how generative AI creates new content like text, images, and music from existing data
- Explain how generative AI differs from other types of AI models
- Identify the main types of generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models
- Explore how generative AI is used in industries such as entertainment, marketing, and healthcare
- Discuss the ethical issues related to generative AI, including bias, privacy, and potential for misuse
- Examine future trends in generative AI and the importance of using these technologies responsibly and transparently
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 applied across industries including entertainment, marketing, and healthcare.
- Ethical concerns around generative AI include bias, privacy, and the potential for misuse, making transparency and responsible use important.
- By the end of the course, learners understand how generative AI works, how it is shaping industries today, and the key considerations for its ethical use.
Frequently Asked Questions
What does this course cover?
This course introduces the basic ideas and technology behind generative AI, including how it differs from other types of AI, the main types of generative AI models (GANs, VAEs, and transformer models), how generative AI is used in industries like entertainment, marketing, and healthcare, and the ethical issues such as bias, privacy, and potential for misuse.
What types of generative AI models will I learn about?
You will learn about the main types of generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models.
Does this course address the ethics of generative AI?
Yes. The course explains ethical issues that have emerged as generative AI becomes more popular, such as concerns over bias, privacy, and its potential for misuse, and covers how to use these technologies responsibly and why transparency is important.
What skills will I gain from this course?
The course builds skills in Generative Artificial Intelligence and Machine Learning.
What topics are included in the lessons?
Lessons include an Introduction, What Is Artificial Intelligence?, Basics of Generative AI, Types of Generative AI Models, Ethical Considerations in Generative AI, Future Trends in Generative AI, and knowledge check sections.
Professional Certifications and Continuing Education Units (CEUs)
Project Management Institute (PMI®)
Professional Development Units (PDUs): 0.5
KnowledgeCity has been reviewed and approved by the PMI® Authorized Training Partner Program. Users can maintain your PMI credentials by earning PDUs from KnowledgeCity qualified courses in Project Management, Business Management, Leadership and many others.
