AI & ML Foundations: A Beginner’s Guide with Python
Course Content
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What is Artificial Intelligence?
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Understanding Machine Learning
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Python Basics and AI Applications Quiz
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Applications of AI and ML
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Research Assignment: Current Trends in AI & ML
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Introduction to Python for AI & ML
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Data Structures and Libraries in Python
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Introduction to Functions and Modules in Python
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Quiz on Python Syntax and Variables
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Build a Simple Python Program
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Introduction to Supervised Learning
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Linear Regression: Predicting Continuous Outcomes
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Control Flow Basics Quiz
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Classification with Decision Trees
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Implementing a Simple Classification Model
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Introduction to Unsupervised Learning
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Clustering Techniques: K-Means and Hierarchical Clustering
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Implementing Clustering and Dimensionality Reduction in Python
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Dimensionality Reduction with PCA and t-SNE
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Recap of Key Concepts in AI & ML
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Emerging Trends in Artificial Intelligence
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Final Quiz: Python for AI & ML
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Research Project: Predicting the Future of AI
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Pathways to Careers in AI & ML
