Goal: Build Core Programming and Data Science Fundamentals
During the first phase, students focus on building a strong technical foundation required for AI development. Most beginners start here, especially students who do not yet have prior experience in programming or machine learning.
Programming Fundamentals
Students learn the basics of programming using Python, the most widely used language in AI development.
Topics include:
- Python syntax and programming structure
- Variables, loops, functions, and modules
- Basic debugging and code optimisation
- Introduction to algorithms and problem solving
Data Science Basics
Students learn how to handle and analyse data, which forms the backbone of artificial intelligence systems.
Topics include:
- Introduction to data science workflows
- Data cleaning and preprocessing
- Using NumPy and Pandas for data manipulation
- Data visualisation using Matplotlib
Students also learn how to use development environments such as:
- Jupyter Notebook
- Google Colab
These tools allow students to practice coding and experiment with datasets.