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Best courses to learn MLOps

Coursera4h

Production ML with Hugging Face

Learn to deploy ML models to production using the Sovereign Rust Stack—a pure Rust implementation with zero Python runtime dependencies. This hands-on course teaches you to work with three critical model formats (GGUF, SafeTensors, APR), implement MLOps pipelines with CI/CD and observability, and deploy models across GPU, CPU, WebAssembly, and edge targets. Through real-world projects including a Python-to-Rust transpiler (Depyler), browser-based speech recognition (Whisper.apr), and LLM inference benchmarking (Qwen), you'll master format conversion, cryptographic model signing, and performan

All levels

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Coursera4.8(10K)16h

Generative AI with Large Language Models

AWS and DeepLearning.AI course on LLM architecture, fine-tuning, and deployment.

Intermediate

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Coursera4.6(4K)80h

Machine Learning Engineering for Production (MLOps)

Design production ML systems: data pipelines, deployment, monitoring, and lifecycle management.

Advanced

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Best MLOps courses, ranked See all MLOps courses