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Artificial Intelligence Foundations: Logic, Learning, and Beyond

In this AI course, explore fundamentals like intelligent agents and logic systems. Discover neural networks and genetic algorithms, diving into nature-inspired methods for modern applications.

Beginner

12 Lessons

2h

Certificate of Completion

In this AI course, explore fundamentals like intelligent agents and logic systems. Discover neural networks and genetic algorithms, diving into nature-inspired methods for modern applications.
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This course includes

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Course Overview
What You'll Learn
Course Content
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Course Overview

In this course, you’ll explore AI’s fundamental concepts and practical applications. Starting with what artificial intelligence is, it covers key ideas like intelligent agents, logic systems, and problem-solving through search algorithms. You’ll dive into core concepts such as agents, expert systems, fuzzy logic, and advanced search techniques like A* search. Through engaging, real-world examples, you’ll uncover how AI tackles complex problems. Next, you’ll explore nature-inspired algorithms, focusing on a...Show More
In this course, you’ll explore AI’s fundamental concepts and practical applications. Starting with what artificial intelligence ...Show More

TAKEAWAY SKILLS

Artificial Intelligence

Algorithms

Searching Algorithms

Logic building

Neural Networks

What You'll Learn

Comprehensive understanding of foundational AI concepts and applications
Familiarity with intelligent systems, agents, logic, and search algorithms
Working knowledge of expert systems, fuzzy logic, and its applications in uncertain environments
Hands-on experience with nature-inspired algorithms like artificial neural networks and genetic algorithms
Comprehensive understanding of foundational AI concepts and applications

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Course Content

1.

Introduction to the Course

3 Lessons

Get familiar with AI concepts, applications, history, and key fields like machine learning and NLP.

2.

Core Concepts of AI

5 Lessons

Discover the logic behind intelligent agents, search algorithms, and reasoning methods in AI.

3.

Nature-Inspired AI Algorithms

3 Lessons

Break apart nature-inspired algorithms for innovative AI solutions in optimization tasks.

4.

Wrapping up

1 Lessons

Find out about the journey into AI, foundational concepts, and practical applications.

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