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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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Deploying Deep Learning: Quantization, Serving, and Edge AI
📚 External: Coursera ↗
Self-paced
Deploying Deep Learning: Quantization, Serving, and Edge AI
Opens on Coursera ↗
Partition & Monitor AI Models Effectively
📚 External: Coursera ↗
Self-paced
Partition & Monitor AI Models Effectively
Opens on Coursera ↗
Databricks Machine Learning Quickstart
📚 External: Coursera ↗
Self-paced
Databricks Machine Learning Quickstart
Opens on Coursera ↗
AI/ML & Advanced AWS Services
📚 External: Coursera ↗
Self-paced
AI/ML & Advanced AWS Services
Opens on Coursera ↗
AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
Automate, Evaluate and Deploy ML Models Confidently
📚 External: Coursera ↗
Self-paced
Automate, Evaluate and Deploy ML Models Confidently
Opens on Coursera ↗