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In this presentation, I will show how to use AWS Lambda and API Gateway to deploy real-time machine learning models developed in Python. I will use these tools to create a serverless web endpoint and serve model predictions with high availability/scalability. These tools provide a relatively simple and cost-effective solution for data scientists and machine learning engineers looking to deploy models without the hassle of managing servers and without needing to rely on third parties. I will cover potential pitfalls to be aware of, such as Lambda's cold start delays and memory limitations. Through code examples and practical tips, attendees will gain a solid understanding of how to use serverless AWS to deploy and serve their own machine learning models at scale.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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