• Module 1: Learn how to use VS Code (or any IDE) and Google Colab, and set up a professional Python environment for AI, Data Science, and Machine Learning.

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• Module 2: Understand how to control program logic using if/else statements, logical operators, and loops to automate decisions and repetitive tasks.

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• Module 3: Learn how to write reusable Python functions, organize code using modules and libraries, and start using real Python packages.

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• Module 4: Master Python’s core data structures — lists, dictionaries, tuples, and sets — to efficiently store and manipulate data.

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• Module 5: Work with real-world data files by reading and writing text files, CSV files, and JSON data using Python.

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• Module 6: Debug programs and build more reliable code by understanding common Python errors and using try/except error handling.

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• Module 7: Learn the fundamentals of NumPy and Pandas, the two most important libraries for data analysis, AI, and machine learning workflows.

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• Module 8: Apply everything you’ve learned by building real-world Python projects, including automation scripts and practical applications.

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• Module 9: Discover how Python is used in Artificial Intelligence and Machine Learning, and understand the tools and libraries used in modern AI development.

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• Module 10: Learn the next steps after mastering the basics, including how to continue into data science, machine learning, automation, and professional Python development.