AI & Machine Learning Fundamentals
Introduction to Artificial Intelligence and ML
Explore the world of artificial intelligence and machine learning. Learn algorithms, neural networks, and practical applications.
Course Content
AI Introduction
What is AI?
Understanding artificial intelligence concepts.
Machine Learning Basics
Supervised Learning
Learn from labeled training data.
Unsupervised Learning
Find patterns in unlabeled data.
Neural Networks
Perceptrons
Basic building blocks of neural networks.
Backpropagation
How neural networks learn.
Deep Learning
Convolutional Networks
CNNs for image recognition.
AI Applications
Natural Language Processing
AI for understanding human language.
Quiz
1. What is the difference between AI and ML?
- They are the same thing
- ML is a subset of AI✓ Correct
- AI is a subset of ML
- They are completely unrelated
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Tests
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Social Skills Assessment
Evaluates interpersonal confidence, listening and conflict skills; provides micro‑practices to connect better.
Work-Life Balance Assessment
Checks fitness of workload, boundaries and recovery; offers small adjustments to protect health and focus.
Decision Making Style Test
Identifies analytical, intuitive and collaborative patterns under uncertainty and offers debiasing checklists.