- Level -Beginner
- Deepening the understanding of AI decision-making through interactive exploration.
- Prerequisites -Grade 4 AI course
- Assessments -Weekly micro assessments, final project assessme
Week 1 - How AI Makes Decisions?
Learning OutcomeUnderstanding AI-based decision-making.
1.1 What is a decision tree?
1.2 How AI chooses between options
1.3 Decision accuracy and confidence
Practical Component
Exploring decision-making AI models at Dataviv AI Lab
Week 2 - AI in Games and Simulations
Learning OutcomeLearning AI strategies in games.
2.1 How AI plays games
2.2 Predicting moves and strategies
2.3 Real-world AI simulations
Practical Component
Playing AI-powered strategy games at Dataviv AI Lab
Week 3 - AI and Emotions
Learning OutcomeExploring AIs ability to recognize emotions.
3.1 How AI detects emotions from faces and voices
3.2 AI in customer support and mental health
3.3 Ethical concerns in AI emotion detection
Practical Component
Testing AI emotion recognition tools at Dataviv AI Lab
Week 4 - AI and Robots
Learning OutcomeUnderstanding how AI powers robots
4.1 AI in automation and robotics
4.2 How robots sense and act
4.3 AI-powered robots in real life
Practical Component
Exploring AI-driven robotics at Dataviv AI Lab
Week 5 - AI and Creativity
Learning OutcomeExploring AI in art and music.
5.1 AI-generated images and artwork
5.2 AI in music composition
5.3 AI-powered storytelling
Practical Component
Experimenting with AI-generated art and music at Dataviv AI Lab
Week 6 - AI Decision-Making Project
Learning OutcomeImplementing AI decision-making knowledge in a project.
6.1 Identifying an AI decision-making challenge
6.2 Developing an AI solution
6.3 Presenting findings
Practical Component
Hands-on project execution at Dataviv AI Lab