- Level -Intermediate
- Exploring how AI interacts with humans and its surroundings.
- Prerequisites -Grade 5 AI course
- Assessments -Weekly micro assessments, final project assessment
Week 1 - AI in Voice and Speech Processing
Learning OutcomeUnderstanding how AI processes speech
1.1 How AI converts speech into text
1.2 AI's ability to recognize different accents and tones
1.3 AI applications in voice assistants and call centers
Practical Component
Experimenting with AI-driven voice recognition at Dataviv AI Lab
Week 2 - AI in Image and Video Understanding
Learning OutcomeExploring how AI interprets visual data.
2.1 Object detection and recognition
2.2 AI applications in surveillance and security
2.3 AI-powered image and video enhancement
Practical Component
Using AI for real-time video analysis at Dataviv AI Lab
Week 3 - AI in Assistive Technologies
Learning OutcomeUnderstanding AIs role in accessibility.
3.1 AI in text-to-speech for visually impaired users
3.2 AI-powered sign language recognition
3.3 AI in prosthetics and assistive mobility
Practical Component
tExploring AI-driven accessibility solutions at Dataviv AI Lab
Week 4 - AI in Autonomous Systems
Learning OutcomeLearning how AI controls self-operating systems.
4.1 AI in self-driving cars and drones
4.2 AI-powered delivery robots
4.3 AI in smart cities and automation
Practical Component
Simulating AI-driven automation at Dataviv AI Lab
Week 5 - Ethics of AI in Society
Learning OutcomeUnderstanding responsible AI use.
5.1 AI in decision-making and bias concerns
5.2 Data privacy and AI security risks
5.3 Ethical dilemmas in AI governance
Practical Component
Case study analysis on AI ethics at Dataviv AI Lab
Week 6 - AI Interaction Project
Learning OutcomeApplying AI to real-world interactions.
6.1 Selecting an AI interaction challenge
6.2 Developing a real-time AI solution
6.3 Presenting findings
Practical Component
Hands-on project execution at Dataviv AI Lab