Start with the Python course embedded next in this roadmap. It begins with running a script and ends with a tested document-processing application. You can also open the same course as a standalone Python roadmap; the lesson content is shared while progress is tracked within the path you use.
Continue through software, data, and mathematical foundations before the AI application modules. Build the exercises and keep their outputs. The first project processes documents without a model. The later project adds retrieval, generation, evaluation, and deployment to a familiar problem.
Everything is self-paced. There is no weekly schedule or cohort deadline. Existing programmers can inspect the Python exit checklist and skip material they can already demonstrate, while beginners should follow the sequence. Marking a lesson complete records study progress, not a professional credential.
Exercise: create a learning repository with folders for notes, exercises, evaluation data, and project evidence. Write a short explanation of your current experience and the first concept you need to learn.
Check: you know where to start, what you will build next, and how you will demonstrate that a stage is complete.