Serving Machine Learning Models in Django with Fast API

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Serving Machine Learning Models in Django with Fast API

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    By Wesley Kambale

    ML Engineer

    Abstract:

    This is an interactive workshop to explore the seamless integration of TensorFlow models with FastAPI, a high-performance web framework for Python. This is ideal perfect for data scientists, machine learning enthusiasts, and software developers who want to deploy models in real-world applications.

    In this workshop, you will:

    • Learn the basics of FastAPI and why it’s a popular choice for serving ML models.
    • Build a simple API to serve a TensorFlow model, with hands-on exercises and guidance.
    • Understand common challenges in model deployment and how to overcome them.
    • Discover techniques to optimize performance and scalability for production environments.

    By the end of this workshop, you will have the skills to create and deploy your own model-serving API with confidence. We’ll also discuss best practices for monitoring, scaling, and maintaining your application in a production setting.

    Don’t miss this opportunity to enhance your ML deployment skills with us at PyCon Africa 2024.

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