I’ve continued my journey in the Machine Learning Zoomcamp by Alexey Grigorev and just finished Section 10: Kubernetes & TensorFlow Serving ⚙️☁️

This module focused on serving machine learning models at scale and understanding how production-grade ML systems are deployed and managed.

Here’s what I worked on in this section:
1️⃣ Kubernetes fundamentals 🐳
2️⃣ TensorFlow Serving 🔄
3️⃣ Model deployment and scaling ⚙️
4️⃣ Load balancing and reliability 💡

Next up: Capstone Project 1
#mlzoomcamp

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