Introduction to Artificial Intelligence- AI for beginners
Hi and welcome to the introduction to artificial intelligence course. In this course we will talk about the past, present and the future of AI. This course covers all the introductory topics to AI to get you started on the path of becoming AI specialist. You will learn about main philosophy, history and approaches of AI as well as its applications.
Learn the Fundamental Consents of Artificial Intelligence and become ready to master the Field of AI
Learn about the history and founding fathers of AI
Learn about 4 types of AI and 3 main domains of AI technology
Get familiar with the main fields of AI research and applications of artificial intelligence
Learn about the basics of Neural Networks, Fuzzy Logic and Genetic Algorithms
Learn the basics of Case-Based Reasoning, Bayesian networks and Behavior Based approaches
Know the main advantages and disadvantages associated with artificial intelligence
Learn about the future possibilities and tangible projects with artificial intelligence
Learn the fundamentals of AI
In this course we will talk about all that you need to know to get started in the field of AI. You will get familiar with the main approaches and research fields of artificial intelligence. You will know the advantages and disadvantages of AI as well as its possible applications in the future.
The course is split into 5 main sections starting from the history of AI. In this section we cover the basics and the history, next we will go into the present day applications of AI followed by the topics on the main categories and methods of AI. Lastly we will speak about cons and pros as well as the future of AI technology.
What you’ll learn
- Learn about the History of AI
- Learn about 4 types of Artificial Intelligence systems
- Know what are the characteristics of Artificial Intelligence
- Discover the future possiblities of AI technology
- Discover 3 Paradigms of AI: Fuzzy Logic, Neural Networks and Genetic Algorithms
- Know about conventional and computational types of AI
Course content
Introduction and History of AI
- Course Expectations
- Definitions
Present Day AI and Its Application
- Characteristics of AI
- Quick Feedback
Categorization and Methodology
- 3 Paradigms of AI
- Categories and types of Artificial Intelligence
- Intro to Neural Network
Pros and Cons
- Advantages and Disadvantages of AI
The Future of AI
- AI Promises
- Tangible Projects
Requirements
- Basic Math Knowledge
- Being Familiar with Computer Science
Who this course is for:
- Students studying Computer Science
- Students studying Computer Engineering
- Students studying Mathematics
- People interested in Technology
- People interested in Science
- People interested in Programming
- Professionals in STEM fields
- Programmers
International student Fee : 200$
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