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🏭 MLOps & LLMOps

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

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Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
Opens on Coursera ↗
Optimize and Deploy Edge AI Models
📚 External: Coursera ↗
Self-paced
Optimize and Deploy Edge AI Models
Opens on Coursera ↗
Databricks Machine Learning Fundamentals
📚 External: Coursera ↗
Self-paced
Databricks Machine Learning Fundamentals
Opens on Coursera ↗
Deploying Deep Learning: Quantization, Serving, and Edge AI
📚 External: Coursera ↗
Self-paced
Deploying Deep Learning: Quantization, Serving, and Edge AI
Opens on Coursera ↗
MLOps in R: Deploying machine learning models using vetiver
📚 External: Coursera ↗
Self-paced
MLOps in R: Deploying machine learning models using vetiver
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Español
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Español
Opens on Coursera ↗