Beginner
Introduction to AI & Machine Learning
A comprehensive foundation in Artificial Intelligence and Machine Learning. From fundamentals and ethics to building your first predictive models.
⏱️ Duration: 8 Weeks
🎓 Certificate of Completion
What You'll Learn
- ✓Understand the history, evolution, and future of AI
- ✓Differentiate between ANI, AGI, and ASI
- ✓Master Supervised, Unsupervised, and Reinforcement Learning concepts
- ✓Hands-on experience with Python ML libraries and data preprocessing
- ✓Build and evaluate your own predictive models
- ✓Navigate the ethical landscape and responsible AI practices
Curriculum Overview
Module 1: Fundamentals: What is AI? History & Evolution
Module 2: Types of AI: Narrow vs. General vs. Super Intelligence
Module 3: The Machine Learning Pipeline: Data Preprocessing & EDA
Module 4: Supervised Learning: Regression and Classification Algorithms
Module 5: Unsupervised Learning: Clustering and Dimensionality Reduction
Module 6: Introduction to Neural Networks and Deep Learning
Module 7: Model Evaluation: Metrics that Matter
Module 8: AI Ethics, Policy, and the Industrial Future
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