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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.

4.5
12 Lessons
2h
Updated this week
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • 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

Learning Roadmap

12 Lessons3 Quizzes

1.

Introduction to the Course

Introduction to the Course

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

2.

Core Concepts of AI

Core Concepts of AI

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

3.

Nature-Inspired AI Algorithms

Nature-Inspired AI Algorithms

3 Lessons

3 Lessons

Break apart nature-inspired algorithms for innovative AI solutions in optimization tasks.
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Author NameArtificial Intelligence Foundations: Logic,Learning, and Beyond
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
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 artificial neural networks for machine learning and genetic algorithms for optimization problems. These techniques will be explained in a way that highlights their inspiration from biology and their utility in modern AI applications. After completing this course, you’ll have the knowledge and tools to understand and apply AI in various scenarios. You’ll gain a suite of AI tools and techniques and the expertise to apply them effectively to solve real-world challenges.

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