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Hey everyone!
Following up on my recent AWS ML certification, I wanted to share the practical side of the journey.
While learning theory is great, building real-world MLOps pipelines and production-ready systems is where the real learning happens. To bridge that gap, I built and published a project on GitHub called aws-ml-notes.
This repository is structured to simulate real-world environments, featuring:
Clean and structured code for model training and deployment (train and deploy ) using Amazon SageMaker.
Clear summaries and best practices for scaling machine learning solutions on the cloud.
You can check out the project here:
https://github.com/Hazemkhaled278/aws-ml-notes/tree/main
Always excited to build more and push models into production! Feedback and connections are always welcome.
github.com
GitHub - Hazemkhaled278/aws-ml-notes: Machine Learning Engineer | MLOps & AWS Cloud | Building & Deploying Production-Ready ML Systems
Machine Learning Engineer | MLOps & AWS Cloud | Building & Deploying Production-Ready ML Systems - Hazemkhaled278/aws-ml-notes
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Another productive day — this time showcasing my Hand Gesture Mouse Control project. A Python-based computer vision project that lets you control your computer mouse using hand gestures in real time.
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