Enroll Course: https://www.udemy.com/course/mnist-app/
In the ever-expanding universe of machine learning, getting started with building models is more accessible than ever. Many aspiring data scientists and enthusiasts have likely dabbled in creating models and running inferences locally. However, a significant hurdle often remains: deploying these creations into tangible, shareable applications. This is where Udemy’s course, ‘Python と JavaScript による機械学習アプリケーション公開入門【ONNX・Render】’ (Introduction to Deploying Machine Learning Applications with Python and JavaScript [ONNX・Render]), shines.
This course directly addresses the gap between building a machine learning model and making it accessible to others. It’s designed for data scientists, project managers, and product managers who are keen on bridging this divide. The core of the course revolves around building a web application that utilizes a machine learning model and successfully deploying it online. The practical example used is a handwritten digit recognition application powered by a model trained on the MNIST dataset.
A particularly valuable aspect of this course is its exploration of model interoperability. You’ll learn how to export a model trained with Python’s scikit-learn into the ONNX format. This allows for inference to be performed in other programming languages, with the course demonstrating this capability using JavaScript. This skill is crucial for integrating machine learning models into diverse application stacks.
The course covers essential technologies and workflows, including Git/GitHub for version control, Python and JavaScript for development, FastAPI for building the backend API, scikit-learn for model training, and crucially, ONNX for model conversion and Render for deployment. The inclusion of updates, such as setup guides for ‘asdf’ and troubleshooting for ‘poetry add’ commands, demonstrates a commitment to providing a robust learning experience.
For anyone looking to move beyond local inference and bring their machine learning projects to a wider audience, this course offers a practical, hands-on approach. It demystifies the deployment process and equips learners with the skills to build and share their own intelligent applications. Highly recommended for those ready to take their ML skills to the next level.
Enroll Course: https://www.udemy.com/course/mnist-app/