AI Explorer – Level 9 Current Status Not Enrolled Price Free Get Started Log In to Enroll Course Content Module 1 - Applying Core AI Principles Lesson 1.1 – Selecting AI Types for Specific Goals Lesson 1.2 – Tracking Pattern Changes Over Time Lesson 1.3 – Interpreting Neural Network Outputs Lesson 1.4 – Comparing Model Approaches for Accuracy Module 2 - Data and Algorithm Problem-Solving Lesson 2.1 – Collecting Data in Challenging Conditions Lesson 2.2 – Using Visualisations for Decision Support Lesson 2.3 – Designing Algorithms for Multi-Step Solutions Lesson 2.4 – Evaluating Algorithms Against Real Data Module 3 - AI-Driven Software Projects Lesson 3.1 – Creating Programs That Adapt to Input Changes Lesson 3.2 – Handling Large Data Sets in Python Lesson 3.3 – Connecting Applications to Multiple AI Services Lesson 3.4 – Ensuring Stability Under High Use Module 4 - Ethics in AI Decision-Making Lesson 4.1 – Investigating Bias in Real-World Deployments Lesson 4.2 – Protecting Personal Data During AI Processing Lesson 4.3 – Setting Boundaries for Automated Decisions 1 of 2
