Course description
This 3-week course provides a structured approach to learning Python for AI and ML. Participants will explore Python fundamentals, data manipulation, and essential libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow. The course also covers key ML concepts such as supervised and unsupervised learning, model evaluation, and deep learning. Each topic includes hands-on exercises and real-world applications to ensure practical understanding.
What will i learn?
- Gain proficiency in Python for AI and ML applications
- Learn data handling and visualization techniques
- Understand key ML concepts and models
- Build AI-driven applications with Python libraries
- Work on real-world AI and ML projects
Requirements
- Basic computer literacy
- Interest in AI and machine learning
- No prior programming experience required, but helpful
Frequently asked question
Anyone interested in AI, ML, and Python programming.
Basic programming knowledge is helpful but not required.
