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Introduction

Overview of Artificial Intelligence (AI)

Machine learning
Computational intelligence
Understanding the Concepts of Neural Networks

Generative networks
Deep neural networks
Convolution neural networks
Understanding Various Learning Methods

Supervised learning
Unsupervised learning
Reinforcement learning
Semi-supervised learning
Other Computational Intelligence Algorithms

Fuzzy systems
Evolutionary algorithms
Exploring Artificial Intelligence Approaches to Optimization

Choosing AI Approaches Effectively
Learning about Stochastic Dynamic Programming

Relationship with AI
Implementing Mechatronic Applications with AI

Medicine
Rescue
Defense
Industry-agnostic trend
Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

Planning the Project
Implementing AI Capabilities

Searching and Motion Control
Localization and Mapping
Tracking and Controlling
Summary and Conclusion