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🏭 MLOps & LLMOps

Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines

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ML Model Development and Tracking: Hands-on Guide
📚 External: Coursera ↗
Self-paced
ML Model Development and Tracking: Hands-on Guide
Opens on Coursera ↗
Deploy ML Models to Production
📚 External: Coursera ↗
Self-paced
Deploy ML Models to Production
Opens on Coursera ↗
AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
Production ML with Hugging Face
📚 External: Coursera ↗
Self-paced
Production ML with Hugging Face
Opens on Coursera ↗
MLOps Tools: MLflow and Hugging Face
📚 External: Coursera ↗
Self-paced
MLOps Tools: MLflow and Hugging Face
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Português Brasileiro
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Português Brasileiro
Opens on Coursera ↗