Instructor
Teaching Fortune 500s and professionals how to lead change
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Course details
- 2h 26m
- Beginner
- Released: 11/21/2025
Computer scientists are just a small slice of people working in artificial intelligence (AI). Most people working with AI are just like you. They’re professionals, teachers, and students who want to use AI to enhance their products, creativity, and career. AI has been around for over half a century. Despite huge advancements in predictive and generative AI, the core concepts of artificial intelligence are still accessible.
This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. First, learn what it means for a system to display “intelligence.” Then, explore the difference between classic predictive AI and newer generative AI. Next, you’ll get an overview of machine learning algorithms, artificial neural networks, foundation models, and deep learning. From the AI curious to the AI careerist, this course will help you get started with intelligent systems.
This course is part of a Professional Certificate from Microsoft.
This course is part of a Professional Certificate from Microsoft.
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.
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