Lesson 04: Core AI Algorithms and Interactive Tools
About Course
This lesson focuses on how AI is built using different algorithms – processes in which machines find patterns within data. We explore the benefit from hands-on experimentation through interactive simulators, simplified model-building with low-code tools, and rigorous performance evaluation to ensure reliability. By examining real-world uses of data, students will understand how practical solutions can be developed even with minimal coding, while still retaining the flexibility to address domain-specific challenges. Emphasis is placed on the importance of monitoring and refining AI models over time, ensuring that they remain responsive to changing data patterns and evolving user needs.
Course Content
The Logic Behind Intelligent Systems
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Algorithmic Thinking and Problem Solving in AI
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Learning from Data: Fundamentals of Machine Learning
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An Overview of Common AI Techniques, from Decision Trees to Clustering
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Understanding Checkpoint
