Artificial Intelligence (AI) Concepts in Python

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Overview

"Artificial Intelligence (AI) Concepts in Python" is a foundational course designed for beginners and intermediate learners interested in understanding AI principles through hands-on programming using Python. The course covers core AI concepts such as search algorithms, knowledge representation, reasoning, and learning, all implemented with practical Python examples. Participants will explore fundamental techniques like decision trees, rule-based systems, and basic machine learning algorithms to solve problems including classification, optimization, and data analysis. The course also introduces AI topics such as natural language...

Syllabus

Introduction to AI -Understand the definition of AI ( general and narrow), the relationship between AI and Machine Learning, and will the robots take over the world - soon? Supervised Learning -Learn about supervised learning, work with labeled data and train regression models. Unsupervised Learning -Learn about unsupervised learning, divide data into clusters, detect anomalies and select the right model for the job. Deep Learning & Beyond -Learn about deep learning, create your first neural networks, and train a model to recognize digits.