Artificial Intelligence and Machine Learning can be terms that are overwhelming and frightening to some. But in this day and age, AI seems to be in the news almost every day. For the Network Engineer, utilizing AI and Machine Learning can greatly alleviate your daily workload. This course is designed for those who know absolutely nothing about AI and wish to learn the basic terminology and use cases behind it. Specifically geared for Network Engineers, you will learn about the various types of AI architectures, models, and subsets. You’ll be exposed to the differences between Supervised Learning, Unsupervised Learning, and Reinforcement Training. You’ll learn the relative strengths and weaknesses of different Machine Learning specialties and, most importantly, you’ll learn how AI (and specifically Generative AI) can make your life as a Network Engineer easier.
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
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Taught by
Keith Bogart