
What you’ll learn
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Deploy machine learning models in production using FastAPI and Docker.
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Create APIs for ML models using FastAPI with optimized endpoints.
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Containerize ML applications with Docker for scalable deployments.
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Set up CI/CD pipelines for automated deployment and testing.
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Train, evaluate, and save ML models, focusing on real-world datasets.
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Deploy ML models to cloud platforms like Heroku and Microsoft Azure.
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Build and integrate a simple frontend for ML model APIs.
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Implement logging, error handling, and request handling in APIs.
Can I download Deploy ML Model in Production with FastAPI and Docker course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Deploy ML Model in Production with FastAPI and Docker course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.