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🏭 MLOps & LLMOps

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

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Using Feature Stores for Managing Feature Engineering in Python
MLOps & LLMOps ⚡ AI Lesson
Using Feature Stores for Managing Feature Engineering in Python
DataCamp Advanced 2y ago
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MLOps and LLMOps: Deploying and Scaling AI in Production
📚 External: Coursera ↗
Self-paced
MLOps and LLMOps: Deploying and Scaling AI in Production
Opens on Coursera ↗
Chemical Engineering Thermodynamics 2
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 2
Opens on Coursera ↗
Partition & Monitor AI Models Effectively
📚 External: Coursera ↗
Self-paced
Partition & Monitor AI Models Effectively
Opens on Coursera ↗
Learn MLOps for Machine Learning
📚 External: Coursera ↗
Self-paced
Learn MLOps for Machine Learning
Opens on Coursera ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
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 ↗