This masterclass zooms in on developing AI-infused applications using Azure Cognitive Services, Azure Cognitive Search, Bot Framework and more. Based on the AI-102 course, it’s aimed at engineers who already have development experience and want to build advanced AI solutions on Azure. (Torque IT)
This masterclass gives you the foundational knowledge of AI workloads and the Azure services that support them. Based on the AI-900 course, it’s designed for learners of all levels students, tech enthusiasts, power users and engineers who want to understand AI possibilities and how Azure supports them. (Torque IT)
In this session we dive into how to apply data science and machine-learning practices using the emerging Microsoft Fabric environment. The course outline shows how data scientists can explore, preprocess, train and use ML models within Fabric notebooks, Data Wrangler, MLflow and more. (Torque IT) For tech enthusiasts, engineers and analysts, this is a key upgrade path to next-gen analytics and AI workflows.
This masterclass gives you a high-impact look at how data scientists can operate machine-learning solutions at cloud scale using Azure services. You’ll see how to manage data ingestion and preparation, train and deploy models, monitor them in production all with hands-on insights borrowed from the DP-100 course. The underlying course is built for data scientists with Python and ML framework experience, and this session will help you bridge to that next capability. (Torque IT)
