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🏭 MLOps & LLMOps

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

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MLOps and LLMOps: Deploying and Scaling AI in Production
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Self-paced
MLOps and LLMOps: Deploying and Scaling AI in Production
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 ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
Opens on Coursera ↗
Deploy ML Models to Production
📚 External: Coursera ↗
Self-paced
Deploy ML Models to Production
Opens on Coursera ↗
Model Serving Systems: Containers, APIs & Scalability
📚 External: Coursera ↗
Self-paced
Model Serving Systems: Containers, APIs & Scalability
Opens on Coursera ↗
Optimize and Deploy Edge AI Models
📚 External: Coursera ↗
Self-paced
Optimize and Deploy Edge AI Models
Opens on Coursera ↗