Nicholas MooreMachine Learning Operationalisation — What, Why, How?It’s not enough to train machine learning models, they need to be deployed into real-world environments.May 14, 2023May 14, 2023
Nicholas MoorePrompt Engineering Experiments with LLMs on Azure OpenAILearn how to craft effective prompts for different use-cases using GPT-3.5 on the Azure Open AI serviceMay 11, 20231May 11, 20231
Nicholas MooreOnline Inference at Scale with Azure DatabricksStreamline your machine learning workflow to generate low-latency on-demand insights that follow MLOps principles and practicesMay 3, 2023May 3, 2023
Nicholas MooreHow to Deploy Azure Machine Learning in EnterprisesA prescriptive design pattern for deploying and operating Azure Machine Learning securely within enterprises.Feb 8, 2023Feb 8, 2023
Nicholas MooreOnline Inference at Scale with Azure Machine LearningLearn how to design, deploy, and monitor endpoints that generate insights in real-time at low-latencey on demandAug 26, 2022Aug 26, 2022
Nicholas MooreBatch Inference at Scale with Azure Machine LearningLearn how to design, deploy, and monitor high-throughput machine learning inference jobs to generate insights from large datasetsAug 23, 2022Aug 23, 2022
Nicholas MooreMachine Learning at Scale with Databricks and KubernetesLearn how to design and build an end-to-end ML Ops Platform using Databricks and Kubernetes to productionise your machine learning…Jan 6, 20221Jan 6, 20221