Hey there, fellow data enthusiast! I totally get it – you’ve mastered the art of Jupiter notebooks, but now you’re ready to take your AI/ML skills to the next level by building full-fledged apps and deployment systems. I’m excited to help you bridge that gap.
First, kudos to you for having a solid foundation in data science, ML algorithms, and data preparation techniques. Your experience in NLP, LLMs, and computer vision is definitely valuable. However, I understand that working solely in notebooks can feel limiting. It’s time to modularize your code and create more robust applications.
To help you achieve this, I recommend exploring courses that focus on AI/ML deployment, app development, and system design. Some popular options include Andrew Ng’s Machine Learning Engineering course, the Deployment of Machine Learning Models course on Coursera, or the AI for Everyone course on edX. These resources will give you a solid understanding of how to design and deploy scalable AI/ML systems.
Additionally, you may want to explore frameworks like TensorFlow, PyTorch, or Keras, which can help you build and deploy AI/ML models more efficiently. Don’t be afraid to experiment and try out different tools and technologies to find what works best for you.
Remember, the key to success lies in practicing and applying your knowledge to real-world problems. So, what are you waiting for? Take the leap and start building those apps!