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🏭 MLOps & LLMOps

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

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Create fine-tuned models with NO-CODE for Ollama & LMStudio!
21:52
MLOps & LLMOps ⚡ AI Lesson
Create fine-tuned models with NO-CODE for Ollama & LMStudio!
Tim Carambat Intermediate 1y ago
📚 Continue on Coursera External links · Free to audit
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Production ML with Hugging Face
📚 External: Coursera ↗
Self-paced
Production ML with Hugging Face
Opens on Coursera ↗
AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
Optimize and Manage Your ML Codebase
📚 External: Coursera ↗
Self-paced
Optimize and Manage Your ML Codebase
Opens on Coursera ↗
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 ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
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 ↗