AI Techniques in Electrical Engineering

Last Update August 24, 2025
3 already enrolled

About This Course

Unlock the full potential of artificial intelligence with our comprehensive course, “Mastering Artificial Intelligence: Neural Networks, Fuzzy Logic & Genetic Algorithms.” Designed for intermediate learners with a foundational understanding of AI concepts, this course dives deep into three pivotal areas of artificial intelligence, equipping you with the skills and knowledge needed to leverage these advanced techniques effectively.

Course Overview:

This course offers an in-depth exploration of neural networks, fuzzy logic, and genetic algorithms, three cornerstone technologies in the field of AI. You’ll begin by understanding the architecture and function of neural networks, learning how to design, train, and optimize them for various applications. Next, you’ll delve into fuzzy logic, a technique that mimics human reasoning by handling imprecise and uncertain information, enabling more nuanced decision-making processes. Finally, you’ll explore genetic algorithms, inspired by the principles of natural selection, to solve optimization and search problems through evolutionary strategies.

Key Learning Outcomes:

  • Neural Networks: Grasp the fundamental concepts and architectures of neural networks, including feedforward and convolutional networks. Gain proficiency in using popular frameworks such as TensorFlow or PyTorch to implement and troubleshoot your neural models.

  • Fuzzy Logic: Understand the principles of fuzzy logic systems and their application in creating control systems and decision-making models that handle ambiguity and uncertainty effectively.

  • Genetic Algorithms: Learn how genetic algorithms mimic natural evolutionary processes to solve complex optimization problems, and apply these algorithms to real-world scenarios across various industries.

  • Integration Skills: Develop the ability to integrate these AI techniques into cohesive solutions that address real-world problems, preparing you to tackle complex AI challenges in your professional career.

Target Audience:

This course is ideal for software developers, data scientists, machine learning engineers, and AI enthusiasts who already have a basic understanding of artificial intelligence and are looking to deepen their expertise. Whether you’re aiming to enhance your career prospects, embark on innovative projects, or understand the cutting-edge technologies shaping the future, this course will provide the tools and insights you need to succeed.

Join us on this journey to master the intricate and fascinating world of artificial intelligence, and propel your career to new heights with the advanced skills and knowledge gained from this course.

Curriculum

15 Lessons

Introduction to Artificial Intelligence Concepts

Foundations of Artificial Intelligence
Understanding Neural Networks
AI Concepts Knowledge Check
Research Paper: The Impact of AI on Society
Introduction to Fuzzy Logic and Genetic Algorithms

Fundamentals of Neural Networks

Exploring Fuzzy Logic Systems

Understanding Genetic Algorithms

Integrative Approaches and Advanced Applications

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Your Instructors

Mallesham G

Professor

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Dr. G. Mallesham is a Professor in the Department of Electrical Engineering, University College of Engineering, Osmania University. He possesses expertise in Control Engineering, Smart Grid Technologies, Renewable Energy Systems, and Artificial Intelligence Systems. Having undergone advanced academic exposure in both India and the USA, he has also served in several key leadership positions at Osmania University.

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