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🏭 MLOps & LLMOps

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

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25. Mastering LLM Ops: Tracing, Data Lineage, and the Fine-Tuning Decision
MLOps & LLMOps
25. Mastering LLM Ops: Tracing, Data Lineage, and the Fine-Tuning Decision
Analytics Vidhya Intermediate 2mo ago
9. Hosted APIs vs. Open Source LLMs: Choosing Your RAGOps Strategy
MLOps & LLMOps
9. Hosted APIs vs. Open Source LLMs: Choosing Your RAGOps Strategy
Analytics Vidhya Intermediate 2mo ago
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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 ↗
AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
MLOps Tools: MLflow and Hugging Face
📚 External: Coursera ↗
Self-paced
MLOps Tools: MLflow and Hugging Face
Opens on Coursera ↗
Azure ML: Deploying, Managing, and Experimenting with Models
📚 External: Coursera ↗
Self-paced
Azure ML: Deploying, Managing, and Experimenting with Models
Opens on Coursera ↗
ML Model Development and Tracking: Hands-on Guide
📚 External: Coursera ↗
Self-paced
ML Model Development and Tracking: Hands-on Guide
Opens on Coursera ↗
AI/ML & Advanced AWS Services
📚 External: Coursera ↗
Self-paced
AI/ML & Advanced AWS Services
Opens on Coursera ↗