AI & Generative AI Explained
Artificial Intelligence (AI) is everywhere—but the fundamentals are often misunderstood. In this fast-paced introduction, quickly ramp up on the current state of AI, including Generative AI tools like ChatGPT.
What you'll learn
In this fast-paced course, cover the most important concepts and ideas in Artificial Intelligence, including the latest Generative AI applications. We'll begin with the clichés—the things "everybody knows" about AI—and use them to explore several core concepts. You'll explore multiple different ways AI can be implemented, including Machine Learning, Deep Learning and Natural Language Processing (NLP). We'll dive into Generative AI applications like ChatGPT, Google Bard and Midjourney, talk about AI hallucinations, and explore prompts and prompt engineering. When you are finished with this course, you will have practical, pragmatic understanding of the current state of Artificial Intelligence as it is being used today.
Table of contents
- Introduction 4m
- Defining Artificial Intelligence 4m
- AI Clichés, Good and Bad 3m
- AI and AGI 5m
- AI and Machine Learning 7m
- Machine Learning Frameworks 4m
- Deep Learning and Neural Networks 3m
- Natural Language Processing (NLP) 4m
- Introducing Generative AI 4m
- Prompts and Prompt Engineering 5m
- Hallucinations—And When Generative AI Goes Wrong 6m
- Ethics and Responsible AI 5m
About the author
Simon is Creative Director and Principal Author at Pluralsight. With over three decades of software development experience, he's programmed in every discipline: from finance to transportation, nuclear reactors to game development. Prior to joining Pluralsight, Simon was the principal developer author at lynda.com. His first video course released back in 2002: since then, his popular courses have been viewed by hundreds of thousands of developers. His current focus is both on the new — the latest... more