2 mins to read Introduction to AI: Computer scientists are just a small slice of people working in artificial intelligence. Most of the people working in AI are project managers, product managers, directors, and executives. People just like you. This course helps you grasp key concepts in artificial intelligence. You’ll see how AI can enhance your products, life, and career. AI has been around for over half a century. Even with its huge strides, the core ideas in machine learning and neural networks are still accessible.
This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. Get a high-level overview of the top tools in the field. First, see what it means for a system to display “intelligence.” Then, learn algorithms and techniques involved in machine learning, artificial neural networks, and deep learning. Once simplified, AI looks less like magic and more like an exciting new set of technology tools.
Learning objectives
- List the distinctions between symbolic systems and machine learning.
- Identify challenges in natural language processing.
- Define the various types of machine learning.
- Explain the importance of algorithms in machine learning.
- Determine conditions in which using artificial intelligence is appropriate.
- Review the differences between artificial intelligence and machine learning that impact business decisions.
Skills covered
- Artificial Intelligence for Business
- Artificial Intelligence (AI)
