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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.

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Overview

Content

Reviews

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.

In this course, you’ll explore AI’s fundamental concepts and practical applications. Starting with what artificial intelligence ...Show More

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

TAKEAWAY SKILLS

Artificial Intelligence

Algorithms

Searching Algorithms

Logic building

Neural Networks

Content

12 Lessons3 Quizzes

Introduction to the Course

3 Lessons

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

Course Overview

Introduction to Artificial Intelligence

AI Landscape

Core Concepts of AI

5 Lessons

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

Agents and Intelligent Systems

Logic and Expert Systems

Fuzzy Logic

Search Algorithms

Puzzle Solving with A* Search

Nature-Inspired AI Algorithms

3 Lessons

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

Algorithms Inspired from Nature: Evolution, Swarms, and Beyond

Artificial Neural Networks

Genetic Algorithms

Wrapping up

1 Lessons

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

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by our in-house 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.

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