Artificial Intelligence Foundations: Logic, Learning, and Beyond

Artificial Intelligence Foundations: Logic, Learning, and Beyond

In this course, you’ll master AI’s foundational concepts and applications, from intelligent systems to nature-inspired models like neural networks and genetic algorithms.

Beginner

12 Lessons

2h

Certificate of Completion

In this course, you’ll master AI’s foundational concepts and applications, from intelligent systems to nature-inspired models like neural networks and genetic algorithms.

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This course includes

13 Playgrounds

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Course Overview

In this course, you’ll explore AI’s fundamental concepts and practical applications. Beginning with an introduction to AI, this course 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

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

What You'll Learn

Comprehensive understanding of foundational AI concepts and applications

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Course Content

1.

Introduction to the Course

This chapter explores foundational AI concepts and applications and the AI landscape.
2.

Core Concepts of AI

This chapter explores intelligent systems, logic, fuzzy logic, and search algorithms for problem-solving.
3.

Nature-Inspired AI Algorithms

This chapter explores nature-inspired algorithms and their applications in artificial intelligence optimization with details of ANN and GA.
4.

Wrapping up

This chapter concludes your journey in AI, exploring concepts, applications, and ethical considerations.

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Software Developer

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Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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