Details of the course

About:

Artificial Intelligence (AI) learns by analyzing data, identifying patterns, and improving its performance through experience. Similar to how humans learn from examples and practice, AI systems learn from large amounts of information and use that knowledge to make predictions, decisions, and recommendations.This module introduces learners to the basic concepts of AI learning, including data, algorithms, machine learning, training, and prediction. Learners will understand how AI learns from examples and how the quality of data affects AI performance.

What will you learn:
1. Understand how AI learns from data
2. Explain the role of algorithms in AI
3. Identify the importance of training data
4. Understand machine learning basics
5. Explore pattern recognition in AI
6. Differentiate between training and prediction
7. Recognize the impact of data quality on AI
8. Develop foundational AI literacy skills

Skills Covered
1. AI Literacy,Data Awareness
2. Critical Thinking
3. Pattern Recognition
4. Digital Literacy
5. Analytical Thinking