What You'll Learn
✓ Core AI concepts and terminology explained clearly
✓ Understand supervised & unsupervised learning
✓ How neural networks and deep learning work
✓ Natural Language Processing (NLP) fundamentals
✓ Computer Vision and image recognition basics
✓ Ethical considerations in AI development
✓ Real-world AI applications across industries
✓ How to evaluate and choose AI tools for your work
Course Curriculum 7 chapters · 42 lessons · 6h 30m
1
Introduction to Artificial Intelligence
5 lessons45 min
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✓
Welcome & Course Overview
free 4:20
▶
What is Artificial Intelligence? A Simple Definition
free 8:45
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History of AI: From Alan Turing to ChatGPT
12:10
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Types of AI: Narrow, General, and Super AI
9:30
📄
Chapter 1 Quiz & Resources
10:00
2
Machine Learning Fundamentals
7 lessons1h 05m
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What is Machine Learning?
10:20
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Supervised Learning Explained
14:00
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Unsupervised Learning & Clustering
11:30
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Reinforcement Learning Introduction
13:00
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Training Data & Model Evaluation
9:50
3
Deep Learning & Neural Networks
6 lessons58 min
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How the Brain Inspired Neural Networks
11:00
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Layers, Neurons & Activation Functions
13:30
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Convolutional Neural Networks (CNN)
12:15
4
Natural Language Processing (NLP)
6 lessons1h 10m
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How Machines Understand Language
10:00
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Transformers & Attention Mechanism
15:20
5
Computer Vision
5 lessons48 min
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How AI Sees Images
9:00
6
AI Ethics & Responsible AI
6 lessons52 min
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Bias in AI Systems
11:00
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Privacy, Safety & AI Regulation
13:30
7
AI in the Real World
7 lessons1h 02m
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AI in Healthcare
10:00
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AI in Finance & Banking
9:40
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The Future of Work with AI
12:00
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Final Assessment & Certificate
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