Search result for Artificial Intelligence Online Courses & Certifications



Showing 73 courses


By Category
  • Data Science(73)
By Subject
  • Artificial Intelligence(73)
By Language
  • English (70)
  • Japanese (1)
  • Portuguese (1)
  • Spanish (1)
By Duration
  • 20+ hours (2)
  • 10 - 20 hours (13)
  • 5 - 10 hours (15)
  • 2 - 5 hours (24)
  • < 2 hours (19)
By Price
  • $50 - $200(1)
  • $20 - $50(1)
  • less than $20(71)
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.
Get Course Alerts by Email
  • 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.
  • 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
  • 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


Saved Course list


Get Course Update

Computer Courses