Python for AI

Created by LC 61 Diperbaharui kali terakhir 23/10/26
AI Courses

Course content

6 Bahagian-bahagian • 31 Aktiviti

  • SUB-TOPIC 1.1: Navigating Google Colab
  • SUB-TOPIC 1.2: Reproducibility in AI
  • SUB-TOPIC 1.3: Building a Clean AI Notebook Structure
  • Glossary & Topic Summary
  • Knowledge Check
  • Mini Task, Reflection & Next Step
  • SUB-TOPIC 2.1: Python Lists & NumPy Arrays
  • SUB-TOPIC 2.2: Vectorized Operations
  • SUB-TOPIC 2.3: Visualising Data & Tensors
  • Glossary & Topic Summary
  • Knowledge Check
  • Mini Task, Reflection & Next Step
  • SUB-TOPIC 3.1: Controlling Prediction Logic
  • SUB-TOPIC 3.2: Thresholds & Confidence Scores
  • SUB-TOPIC 3.3: Rule-Based Filtering & Decision Simulation
  • Glossary & Topic Summary
  • Knowledge Check
  • Mini Task, Reflection & Next Step
  • SUB-TOPIC 4.1: Logging Model Performance Over Iterations
  • SUB-TOPIC 4.2: Formatting and Presenting Evaluation Results
  • SUB-TOPIC 4.3: Confusion Matrices, CSV Exports and Evaluation Tracking
  • Glossary & Topic Summary
  • Knowledge Check
  • Mini Task, Reflection and Next Step
  • SUB-TOPIC 5.1: Understanding Predictions: From Logits to Top-K
  • SUB-TOPIC 5.2: Comparing Predicted and Actual Values
  • SUB-TOPIC 5.3: Error Analysis and Visualisation
  • Glossary & Topic Summary
  • Knowledge Check
  • Mini Task, Reflection & Next Step
  • Final Test