Artificial Intelligence and Machine Learning
This course provides a practical and theoretical foundation in Artificial Intelligence (AI) and Machine Learning (ML), two of the most transformative technologies of the 21st century.
Students will explore the core concepts behind AI systems, including problem-solving, search algorithms, logic, and intelligent agents, while diving deep into machine learning techniques such as:
- Supervised Learning
- Unsupervised Learning
- Deep Learning
Hands-on projects using tools like Python, Scikit-learn, and TensorFlow will give students real-world experience building and training models for tasks such as:
- Classification
- Regression
- Natural Language Processing
- Computer Vision
The course also emphasizes ethical considerations, responsible AI, and the societal impact of intelligent systems.
