ML Model Deployment with FastAPI & MLOps Tutorial

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Support the Channel Here :- https://ko-fi.com/learnfree37902 CloudWays :- https://bit.ly/cloudways1301060 Rosehosting :- https://bit.ly/rosehosting2307 Hostinger :- https://bit.ly/hostinger4652 Contabo :- https://bit.ly/contabo100253646 Learn how to deploy machine learning models with FastAPI! This video is part 1 of a series on MLOps, covering deployment, monitoring, and retraining. We'll explore practical techniques for getting your models into production, focusing on FastAPI for robust and scalable deployments. In this video (BUIL~1.MP4), we'll cover: * Setting up your FastAPI environment * Building a simple ML model inference endpoint * Testing the API with sample data * Best practices for API design in ML projects Stay tuned for future videos where we'll delve into Gradio, Hugging Face, Flask for deployment. We'll also cover MLflow for model monitoring and experiment tracking, and Airflow for automated model retraining pipelines. Let's get your ML models deployed efficiently! #MLOps #MachineLearning #Deployment #FastAPI #Python #MLModel #ModelDeployment #APIs #ProductionML #MLflow #Airflow #Gradio #HuggingFace #Flask #Tutorial #DataScience #AI