AI Explorer – Level 10 Current Status Not Enrolled Price Free Get Started Log In to Enroll Course Content Module 1 - Mastering Core AI Applications Lesson 1.1 – Choosing the Most Suitable AI for a Given Task Lesson 1.2 – Identifying Hidden Patterns in Diverse Data Lesson 1.3 – Explaining Neural Network Behaviour Lesson 1.4 – Reviewing and Comparing Model Performance Over Time Module 2 - Data and Algorithm Integration Lesson 2.1 – Collecting and Merging Data From Multiple Sources Lesson 2.2 – Presenting Data for Stakeholder Understanding Lesson 2.3 – Building Algorithms for Complex Decision Chains Lesson 2.4 – Refining Algorithms Through Continuous Testing Module 3 - Professional AI Application Development Lesson 3.1 – Designing User-Friendly AI Interfaces Lesson 3.2 – Managing Data Flow in Python Applications Lesson 3.3 – Linking AI Systems for Coordinated Tasks Lesson 3.4 – Validating Software Performance Before Deployment Module 4 - Ethics in Public and Private AI Use Lesson 4.1 – Auditing AI for Bias and Fairness Lesson 4.2 – Safeguarding Data in Collaborative Projects Lesson 4.3 – Defining Ethical Standards for Team Projects 1 of 2