Congratulations on making it to the end of this course and to the end of the AI Python for Beginners sequence of courses. You've learned a lot in these four courses from the basics of Python, like data types and functions and variables and code patterns like for loops and if statements. You also learned how to have Python with files from your computer so they can do fun things like process your own documents and data, or use AI to plan a dream vacation. And in this final course, you saw how to expand the capabilities of Python by using packages that other programmers have written to let you download a process web pages, or make clouds of data, or get weather data, and even call a large language model over the internet. And now you might be wondering what you might do next. There's a lot you can do, and here are some concrete next steps that you might consider. First, do consider installing Jupyter on your own computer if you haven't already done so. It's fun to be able to run things on your own laptop. In addition, I hope you keep on taking courses and keep on learning. From DeepLearning.AI, a couple of short courses you might consider are: ChatGPT Prompt Engineering for Developers, which I teach you how to prompt ChatGPT in a more sophisticated way. Or Prompt Engineering with Llama two and three. For something longer and more substantial, consider taking also our Machine Learning Specialization. While you continue to take courses, if you have an idea for a project, to go for it. Please do use these skills responsibly. That is a ways to help people, and I've seen beginners work on projects that might involve things like downloading a web page and processing that page. Maybe to summarize or gather insights relevant to your business. Or doing web search by using a web search engine's API. Or extracting text from PDFs and processing that text, and many other fun examples. If there's something that you do not yet know how to do, I encourage you to ask an AI chatbot. Not necessarily the one on this website, but OpenAI's ChatGPT or Anthropic's Claud, or Google's Gemini or some other one and ask them for help. And maybe also do a quick web search to figure out if there any relevant Python packages or APIs that you can use. Many people start out with small projects and then go on to build out to bigger and bigger ones over time. So don't feel like your first project has to be some massive thing that changes the world. It's great if you can do some small, fun project and whether your project works or not, you can take those learnings and that hopefully to a second, slightly bigger project and through that, even more, and so on. To this day, I frequently try to code up things, and sometimes what I do just doesn't work. It happens to all of us. And is that practice that lets you keep on honing your skills. By finishing this course, you are a Python programmer. You're just starting out, but you are now part of the global community of AI coders, and I'm really happy to have you with us. And I'm optimistic that you find ways to use these skills to improve your daily life and work. I'm a bit sad to like Journey Together is coming to an end for now, but also grateful for all the time and effort you put into these courses to learn Python. I hope I'll see you again soon, and that you continue to learn and practice, and you do wonderful things with your new skills to help yourself and others.
AI Python for Beginners: Extending Python with Packages and APIs