Search result for Courses taught by Kumaresan Ramanathan

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Description of Artificial Intelligence Courses
  • Artificial Intelligence is a rapidly growing field in the world of technology that focuses on developing intelligent machines that can perform tasks that typically require human intelligence.
Common Things Learned
  • In Artificial Intelligence courses, students learn about machine learning algorithms, neural networks, natural language processing, and computer vision. They also learn about the various applications of AI, such as in robotics, healthcare, finance, and gaming. Students gain an understanding of how to implement AI algorithms and techniques in real-world scenarios, and learn how to create intelligent systems that can learn from data and improve over time.
Typical Student
  • Typical students in Artificial Intelligence courses are individuals with a strong background in mathematics, computer science, and programming. They are often interested in pursuing careers in AI research, machine learning, data science, or software engineering.
 
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Introduction to Artificial Intelligence ( AI ) for Managers

by Kumaresan Ramanathan
  • 4
2 hours on-demand video
Data Science, Machine Learning, Deep Learning & Neural Networks for Beginners with Scikit-Learn & Python Do you want to learn Artificial Intelligence technology quickly? Are you a manager, director, or VP who needs to understand how AI works at a technical level? This fast-paced course explains the core concepts of Artificial Intelligence through engaging animations....
$12.99
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Top Online Courses and Specializations | Coursera

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Find Courses and Specializations from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....

Coursera | Online Courses & Credentials From Top Educators. Join for Free

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Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....

Course Definition & Meaning - Merriam-Webster

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course: [noun] the act or action of moving in a path from point to point....

Free Online Courses | Stanford Online

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Free Online Courses. Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. Learn from Stanford instructors and industry experts at no cost to you....

Online Courses - Learn Anything, On Your Schedule | Udemy

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Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more....

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Courses. The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times....

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Time
  • It typically takes several months to a year to gain the fundamentals of Artificial Intelligence, depending on the student's background knowledge and the intensity of the course. To become well adept in this topic, it can take several years of practice and experience working with AI systems and algorithms.
Courses
Fields

  • Artificial Intelligence is used in a wide variety of fields, including healthcare, finance, gaming, robotics, and more. In healthcare, AI is used to develop predictive models for disease diagnosis and treatment planning. In finance, AI is used for fraud detection and risk assessment. In gaming, AI is used to create intelligent and adaptive game environments. In robotics, AI is used to develop intelligent robots that can perform complex tasks in manufacturing and logistics.

  • Related Fields
Careers

  • Artificial Intelligence is needed in many specific careers, including machine learning engineer, data scientist, software engineer, AI researcher, and robotics engineer. These careers require strong AI skills and knowledge, as well as experience working with intelligent systems and algorithms.

  • Examples of Common Careers
    • Machine Learning Engineer
    • Data Scientist
    • Software Engineer
    • AI Researcher
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