As an aspiring developer, you might start with an average computer. Soon, you may feel limited—you can’t create virtual machines, develop for iOS devices without a Mac, or your dev environment is slow due to limited memory. Running large machine learning models locally might take hours.

These limitations can spark creativity. Many alternatives leverage cloud power. If you can’t follow an online course due to hardware limitations, find a workaround. If your project takes forever to start locally, opt for a lighter framework. If running a machine learning algorithm overnight is impractical without a high-end GPU, use services like Google Cloud, Amazon Web Services, or Microsoft Azure. These providers often offer free labs for learners with virtual machines available as needed. Google Colab is a fantastic tool for importing and running Python Notebooks.

Eventually, you’ll earn enough to buy your dream machine or receive one at your first job. But for now, don’t let an average computer or mobile device stop you. Keep pushing forward and find creative solutions to continue learning and developing.