Location

Community Services & Continuing Education - Alexandria

Objectives

• 1. Introduce students to Artificial Intelligence using Python.2. Provide hands-on experience with AI, DL, ML concepts.

Outcomes

● Python programming for AI and ML development.● Data manipulation and analysis using libraries like NumPy, Pandas, and scikit-learn.● Various machine learning algorithms and their applications.● Deep learning fundamentals and architectures.● Real-world AI and ML applications such as image recognition and natural language processing.● Collaboration and presentation skills for AI and ML projects.

Course Contents

• Introduction to AI Review of Python Basics • Manipulation with Lists & Dictionaries• Introduction to NumPy & Pandas• Introduction to Machine Learning • Scikit-learn for Machine Learning• Basic Image Recognition with OpenCV• Natural Language Processing (NLP) and its application • Introduction to Deep Learning with TensorFlow• Machine Learning Techniques • Final Presentation & Review