Learn the basics of Artificial Intelligence, where it is applied today, and the future of AI. Read more.
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Who this course is for:
- Anyone who wants to know everything about artificial intelligence fundamentally
- Anyone who wants to know why artificial intelligence is so important to learn now
- Anyone who wants to know end-to-end artificial intelligence for real growth and understanding
What you’ll learn:Â
- Academic disciplines of artificial intelligence
- subfields of artificial intelligence
- AI reasoning, problem-solving
- AI knowledge representation
- AI natural language processing
- AI perception
- AI motion and manipulation
- AI social intelligence
- AI general intelligence
- AI approaches
Requirements:Â
- No prior experience in artificial intelligence is needed to join this course.
Welcome to this course on Artificial Intelligence. Together, let’s demystify Artificial Intelligence, its applications in reasoning and problem solving, its social and general intelligence and much more!
This course is designed for you to learn about Artificial Intelligence deeply step by step.
Our Promise to You
By the end of this course, you will have learned the fundamentals of AI.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today!
Course Curriculum
| Section 1 - What Is AI? | |||
| What Is AI | 00:00:00 | ||
| AI Founding Fathers | 00:00:00 | ||
| AI Academic Discipline | 00:00:00 | ||
| Subfields Of AI | 00:00:00 | ||
| AI Assumption | 00:00:00 | ||
| AI Reasoning, Problem Solving | 00:00:00 | ||
| AI Knowledge Representation | 00:00:00 | ||
| AI Breadth Of Common Sense Knowledge | 00:00:00 | ||
| AI Planning | 00:00:00 | ||
| AI Learning | 00:00:00 | ||
| AI Natural Language Processing NLP | 00:00:00 | ||
| AI Perception | 00:00:00 | ||
| AI Motion And Manipulation | 00:00:00 | ||
| AI Social Intelligence | 00:00:00 | ||
| AI General Intelligence | 00:00:00 | ||
| AI Approaches | 00:00:00 | ||
| AI Cybernetics And Brain Simulation | 00:00:00 | ||
| AI Symbolic | 00:00:00 | ||
| Embodied Intelligence AI | 00:00:00 | ||
| Soft Computing AI | 00:00:00 | ||
| Statistical AI | 00:00:00 | ||
| AI Artificial General Intelligence AGI | 00:00:00 | ||
| AI Applications | 00:00:00 | ||
| AI Philosophy | 00:00:00 | ||
| Future Of AI | 00:00:00 | ||
| Risks Of Narrow AI | 00:00:00 | ||
| Risks Of General AI | 00:00:00 | ||
| AI Ethical Machines | 00:00:00 | ||
| Artificial Moral Agents | 00:00:00 | ||
| AI Machine Ethics | 00:00:00 | ||
| Malevolent And Friendly AI | 00:00:00 | ||
| AI Regulation | 00:00:00 | ||
| AI In Fiction | 00:00:00 | ||
| AI More Research | 00:00:00 | ||
About This Course
Who this course is for:
- Anyone who wants to know everything about artificial intelligence fundamentally
- Anyone who wants to know why artificial intelligence is so important to learn now
- Anyone who wants to know end-to-end artificial intelligence for real growth and understanding
What you’ll learn:Â
- Academic disciplines of artificial intelligence
- subfields of artificial intelligence
- AI reasoning, problem-solving
- AI knowledge representation
- AI natural language processing
- AI perception
- AI motion and manipulation
- AI social intelligence
- AI general intelligence
- AI approaches
Requirements:Â
- No prior experience in artificial intelligence is needed to join this course.
Welcome to this course on Artificial Intelligence. Together, let’s demystify Artificial Intelligence, its applications in reasoning and problem solving, its social and general intelligence and much more!
This course is designed for you to learn about Artificial Intelligence deeply step by step.
Our Promise to You
By the end of this course, you will have learned the fundamentals of AI.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today!
Course Curriculum
| Section 1 - What Is AI? | |||
| What Is AI | 00:00:00 | ||
| AI Founding Fathers | 00:00:00 | ||
| AI Academic Discipline | 00:00:00 | ||
| Subfields Of AI | 00:00:00 | ||
| AI Assumption | 00:00:00 | ||
| AI Reasoning, Problem Solving | 00:00:00 | ||
| AI Knowledge Representation | 00:00:00 | ||
| AI Breadth Of Common Sense Knowledge | 00:00:00 | ||
| AI Planning | 00:00:00 | ||
| AI Learning | 00:00:00 | ||
| AI Natural Language Processing NLP | 00:00:00 | ||
| AI Perception | 00:00:00 | ||
| AI Motion And Manipulation | 00:00:00 | ||
| AI Social Intelligence | 00:00:00 | ||
| AI General Intelligence | 00:00:00 | ||
| AI Approaches | 00:00:00 | ||
| AI Cybernetics And Brain Simulation | 00:00:00 | ||
| AI Symbolic | 00:00:00 | ||
| Embodied Intelligence AI | 00:00:00 | ||
| Soft Computing AI | 00:00:00 | ||
| Statistical AI | 00:00:00 | ||
| AI Artificial General Intelligence AGI | 00:00:00 | ||
| AI Applications | 00:00:00 | ||
| AI Philosophy | 00:00:00 | ||
| Future Of AI | 00:00:00 | ||
| Risks Of Narrow AI | 00:00:00 | ||
| Risks Of General AI | 00:00:00 | ||
| AI Ethical Machines | 00:00:00 | ||
| Artificial Moral Agents | 00:00:00 | ||
| AI Machine Ethics | 00:00:00 | ||
| Malevolent And Friendly AI | 00:00:00 | ||
| AI Regulation | 00:00:00 | ||
| AI In Fiction | 00:00:00 | ||
| AI More Research | 00:00:00 | ||
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