Course Description
In these lessons on AI Theory, you’ll be introduced to theoretical concepts related to artificial intelligence and explore those theories along with AI testing. The course will explain AI agents and the different types of agents with their terminology and different environmental properties, and you’ll learn about statistical and neural language modeling with artificial intelligence. These lessons will introduce algorithm programming and explain why programs should be tested before being put into production. You’ll also discover what perceptrons, machine learning and neural networks are, and these lessons will explain how neural networks can be classified and what their primary attributes are.
What You'll Learn
- Understand theoretical concepts related to artificial intelligence
- Explore AI agents, their types and terminology, and different environmental properties
- Learn statistical and neural language modeling with artificial intelligence
- Identify what perceptrons, machine learning, and neural networks are
- Explain how neural networks can be classified and their primary attributes
- Describe algorithm programming and why programs should be tested before production
Key Takeaways
- The course introduces theoretical concepts of artificial intelligence alongside AI testing.
- AI agents are covered along with the different types of agents, their terminology, and different environmental properties.
- Language modeling is presented in both statistical and neural forms using artificial intelligence.
- Programs should be tested before being put into production.
- Neural networks can be classified, and the course explains their primary attributes along with perceptrons and machine learning.
Frequently Asked Questions
What topics does the AI Theory course cover?
It covers theoretical concepts of artificial intelligence and AI testing, AI agents and environmental properties, statistical and neural language modeling, algorithm programming, and perceptrons, machine learning, and neural networks.
What will I learn about AI agents?
You will learn about AI agents and the different types of agents with their terminology and different environmental properties.
Does this course explain neural networks?
Yes. It explains what perceptrons, machine learning, and neural networks are, how neural networks can be classified, and what their primary attributes are.
What lessons are included in this course?
The lessons are: AI theory and testing; Agents and environments; Perceptrons, neural networks, and machine learning; and Algorithms and language modeling.
Why does the course discuss testing programs?
The lessons introduce algorithm programming and explain why programs should be tested before being put into production.
