This course equips educators and learners with the skills to explore Artificial Intelligence (AI), Python programming, and hardware integration through real-world applications. Participants will gain hands-on experience in Python, study core AI topics such as machine learning, data analysis, and neural networks, and apply these in both teaching and personal projects. The course includes practical work with Raspberry Pi, allowing learners to build and control circuits using Python, promoting interactive and problem-based learning. By combining theory with applied software and hardware tasks, it supports skill development in areas like engineering, IoT, and data science, preparing learners for future careers or innovations.

This course is specifically designed to provide participants with :

  • Understand AI, machine learning, and Python, and teach these topics.
  • Gain Python skills, including debugging and using libraries like TensorFlow and Scikit-learn for AI models.
  • Teach data management and analysis, along with problem-solving in Python.
  • Use Python for Raspberry Pi 4 projects, solving real-world problems through coding.
  • Apply Python for tasks like file management and math operations.
  • Write clear and organized Python code for efficient programming.


MODULE 3 - Flow Control


MODULE 5 - Data Structures


MODULE 7 - Object Oriented in Phython