AI & Deep Learning (9–12)

By ZAPZ PREP Categories: ZAPZ Flex Prep (9-12)

About Course

Students explore the foundations of artificial intelligence, neural networks, and deep learning systems used in modern technology. This course builds real‑world AI skills through hands‑on projects.

Course Content

Topic 1: Introduction to AI
History, types of AI, and real‑world applications.

Topic 2: Neural Networks Basics
Nodes, layers, activation functions, and how networks “think.”

Topic 3: Training AI Models
Data, labels, training loops, and accuracy.

Topic 4: Deep Learning Systems
CNNs, RNNs, transformers, and modern architectures.

Topic 5: Ethics & Bias in AI
Fairness, transparency, and responsible AI.

Topic 6: Final Project — Build a Mini Deep Learning Model
Students create a simple image or text classifier using a guided tool.

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About Course

What Will You Learn?

Course Content

Topic 1: Introduction to AI History, types of AI, and real‑world applications.

Topic 2: Neural Networks Basics Nodes, layers, activation functions, and how networks “think.”

Topic 3: Training AI Models Data, labels, training loops, and accuracy.

Topic 4: Deep Learning Systems CNNs, RNNs, transformers, and modern architectures.

Topic 5: Ethics & Bias in AI Fairness, transparency, and responsible AI.

Topic 6: Final Project — Build a Mini Deep Learning Model Students create a simple image or text classifier using a guided tool.