Everyone either knows a lot about artificial intelligence (AI) or very little. For fun, let's do a pop quiz.<\/p>\r\n\r\n
What is AI? You get an A+ if you know it's a computer capable of human thought processes. It's much more complex<\/a> than that, but let's keep it simple for now.<\/p>\r\n\r\n Now let's see if you can answer the three big questions:<\/p>\r\n\r\n If you don't have the answers but are curious to know more, then an artificial intelligence course may be the solution.<\/p>\r\n\r\n AI courses teach the many ways we make computers perform and automate tasks like humans. They're available at beginner, intermediate, and advanced levels and designed by colleges, universities, and course providers. Algebra experience is often all you need to start.<\/p>\r\n\r\n Plus, it's a good time to learn about AI. The World Economic Forum predicts AI will create 97 million new jobs<\/a> by 2025. AI and machine learning specialists are the fastest-growing jobs in the world<\/a> in 2023. AI courses can be useful for professionals interested in upskilling<\/a>.<\/p>\r\n\r\n Here is what you learn in an AI course, including the topics you're likely to cover at each level.<\/p>\r\n\r\n Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.<\/p>\r\n Example: <\/strong>Introduction to AI Technology <\/strong><\/a> (Microsoft)<\/p>\r\n\r\n Beginner classes are an introduction to AI. You learn how computers can mimic human cognition. You become familiar with techniques like deep learning and neural networks. You may learn about the history of AI, debate ethical issues, and practice training algorithms.<\/p>\r\n\r\n Beginner classes in AI are often designed for those with little or no background in the subject. Computer science or programming experience is not always a requirement. However, instructors might expect you to have basic knowledge of discrete math, probability, and linear algebra.<\/p>\r\n\r\n A beginner AI course covers various fundamentals:<\/p>\r\n\r\n Example: <\/strong>Natural Language Processing Specialization<\/strong><\/a> (Coursera)<\/p>\r\n\r\n Intermediate-level artificial intelligence courses build on fundamental concepts. For example, you may learn about deep generative models, a branch of deep learning. Or it may be advanced computer vision techniques like objective detection and image segmentation.<\/p>\r\n\r\n Other intermediate AI courses shift the focus from conceptual to practical, involving projects and real-life scenarios. It might be a hands-on experience where you build a scale-model<\/a> self-driving car. Or a program to help you find ways to integrate AI into business<\/a> workflows.<\/p>\r\n\r\n Intermediate-level AI topics include:<\/p>\r\n\r\n\r\n
Popular Online Programs<\/h2>\r\n
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