Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.
- Artificial intelligence is fascinating field. It brings out a lot of passion, and many people have strong opinions. Some people feel that artificial intelligence poses one of the greatest threats to humankind. Others believe that it's the path to some of the best new opportunities. Both would agree that we're at the very beginning of what artificial intelligence can accomplish. We now have the ability to find patterns that only a few decades ago would have been impossible to see. Scientists can now make better predictions about weather patterns, pharmaceuticals, and medical treatments.
Businesses are using AI to predict your buying behavior, better understand your requests, or even help manage your day. You can also see how AI technologies are becoming more like us. New virtual assistants understand our language and can even joke with us while we sit in the car. This course gives you a broad overview of the different technologies around artificial intelligence. You'll see the history of artificial intelligence, and the ideas that fell in and out of favor in the field.
You'll also see how different approaches like symbolic reasoning, machine learning, and artificial neural networks all blend into more modern approaches to AI. Finally, you'll see how newer approaches like deep learning allow machines to see and understand the world in a way that humans can't comprehend. This course is designed for managers, entrepreneurs, students, or business professionals who want to better understand how AI technologies might impact their field.
You'll see conceptually how each AI approach works for a particular challenge. That way, you can think about the best approach for your new product, project, or even as a starting point for your career. So, let's take a tumble down the rabbit hole and learn about thinking machines.
This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big data, and avoid some common pitfalls associated with programming AI.
- The history of AI
- Machine learning
- Technical approaches to AI
- AI in robotics
- Integrating AI with big data
- Avoiding pitfalls