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Artificial Intelligence

List Tuition: $250.00

Course Overview

Duration: 15 Hours
Access: 1 Year
Format: Self-Paced Learning

In this class you will learn all about the broad and exciting field of Artificial Intelligence (AI). AI holds the promise to radically transform the business and consumer worlds over the coming decade; learn what AI is, how it matured to to its current state, what AI means for you and your business, the future of AI, and most importantly - how you can be ready for it!

Audience

This course aims to provide a broad of the AI landscape. This course is intended for business leaders, decision makers, technical program and product managers, and solution architects interested in learning more about the transformative new technology.

Course Outline

  • Chapter 1: What is AI?
    • Intro
    • Course Outine, timeline, and goals
    • Defining Artificial Intelligence
  • Chapter 2: The History of AI
    • Behavioral Modernity
    • Birth of Metaphysics
    • Documentation of Knowledge
    • Simple Computing Devices
    • The Antikythera Mechanism
    • Analog Computers
    • "Cogito, ergo sum" and the Ghost in the Machine
    • Mechanical Computers
    • Alan Turing
    • The Cognitive Revolution
    • The birth of AI
    • Symbolic AI / GOFAI
    • The AI Winter
    • The Emperor's New Mind
    • Neural networks and modern AI
    • The Future of AI
      • AI and Fusion - always 50 years away?
      • The Technological Singularity
  • Chapter 3: How does AI work?
    • Artificial Narrow Intelligence (ANI)
      • ANI Milestones
    • Artificial General Intelligence (AGI)
      • AGI Milestones
    • Artificial Super Intelligence (ASI)
      • AGI Milestones
    • The Different Approaches to AI
      • Cybernetics and Computational Neuroscience
      • Symbolic AI
      • Cognitive Stimulation and the SOAR architecture
      • The Logic-Based Approach and SAIL
      • Anti-Logic / Scruffy
      • Knowledge-Based Systems
      • Sub-Symbolic Intelligence
      • Embodied Intelligence
      • Computational Intelligence
  • Chapter 4: What are the goals of AI?
    • Knowledge Reasoning
    • Planning
    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Robotics
    • Symbolic AI / GOFAI
    • Deep Learning
    • Bayesian Networks
    • Evolutionary Algorithms
  • Chapter 5: AI, Machine Learning, and Deep Learning - What does it all mean?
    • How does ML relate to AI?
    • How does DL relate to ML/AI?
  • Chapter 6: AI Use Cases
    • How is AI being used today?
    • What are the future use cases of AI?

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Artificial Intelligence

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