- Level -Beginner
- Exploring AI concepts through interactive activities and real-world examples.
- Prerequisites -None
- Assessments -Weekly micro assessments, final project assessment
Week 1 - What is AI?
Learning OutcomeUnderstanding AI as a thinking system.
1.1 Understanding intelligence - Human vs. AI
1.2 Basics of how AI makes decisions
1.3 Real-world applications of AI
Practical Component
Exploring AI interactions at Dataviv AI Lab
Week 2 - How AI Learns?
Learning OutcomeExploring AI learning patterns.
2.1 Understanding patterns and rules
2.2 Concept of supervised and unsupervised learning
2.3 Experimenting with AI-based pattern recognition
Practical Component
Using AI tools at Dataviv AI Lab to analyze patterns
Week 3 - AI in Everyday Life
Learning OutcomeIdentifying AI applications around us.
3.1 AI in smartphones, homes, and schools
3.2 Voice assistants, chatbots, and smart recommendations
3.3 Ethical considerations of AI usage
Practical Component
Hands-on experience with AI-based personal assistants
Week 4 - How AI Sees and Hears?
Learning OutcomeUnderstanding AI in vision and speech.
4.1 Basics of image and speech recognition
4.2 How AI recognizes objects and voices
4.3 AIs ability to distinguish between different inputs
Practical Component
Experimenting with AI-driven vision and speech models at Dataviv AI La
Week 5 - AI and Problem Solving
Learning OutcomeApplying AI concepts to solve problems.
5.1 Identifying problems AI can solve
5.2 AIs role in assisting humans
5.3 How AI adapts and improves solutions
Practical Component
Developing simple AI-based solutions using interactive tools at Dataviv AI La
Week 6 - AI Exploration Project
Learning OutcomeApplying AI knowledge to a final project.
6.1 Selecting an AI problem
6.2 Developing an AI-based solution
6.3 Presenting AI-based findings
Practical Component
Hands-on AI project execution at Dataviv AI Lab