Artificial Intelligence Explained for Beginners
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Online Course

Artificial Intelligence Explained for Beginners

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If you're looking to grasp the fundamentals of AI, our course on Artificial Intelligence explained for Beginners is the perfect starting point. This comprehensive video course is tailored for beginners, providing a clear and engaging introduction to the historical development and essential concepts of artificial intelligence. Each section is designed to build your knowledge progressively, ensuring you have a solid understanding of AI fundamentals.

What You'll Learn

  • Understand the distinction between strong and weak AI
  • Explore the Turing Test and its significance
  • Discover the historical milestones in AI development
  • Dive into the world of machine learning and deep learning
  • Learn about expert systems and their applications
  • Examine the structure and function of neural networks
  • Gain insights into machine vision and computer vision technologies

Course Structure

  • Introduction and Historical Background — understand what AI is and explore its philosophical considerations
  • The General Problem Solver — learn the initial techniques of AI and famous example systems
  • Expert Systems — delve into rules, knowledge bases, and real-world applications
  • Neuronal Networks — discover how human brain concepts are replicated in digital processing
  • Machine Learning — explore deep learning, layers in networks, and their real-world applications

Who Should Enroll? This course is ideal for students and researchers interested in AI, beginners seeking foundational knowledge in artificial intelligence, and anyone eager to understand modern AI systems without prior prerequisites. Join us in unraveling the fascinating world of AI. By the end of this course, you will be equipped with the knowledge to navigate the complexities of artificial intelligence effectively.

What's included

  • Agent Systems
  • Neural Networks
  • Deep Learning
  • Machine Learning
  • Computer Vision

Course curriculum

  1. Introduction & What is AI? — Overview of artificial intelligence, strong vs. weak AI, and philosophical considerations
  2. The Turing Test & Historical Milestones — Key moments in AI history and the significance of the Turing Test
  3. The General Problem Solver — Early AI techniques and famous example systems
  4. Expert Systems — Rules, knowledge bases, and real-world applications
  5. Neural Networks — How human brain concepts translate into digital neural processing
  6. Machine Learning & Deep Learning — Layers, training, and real-world ML applications
  7. Machine Vision & Computer Vision — How AI sees and interprets images

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