Implement Data Science and Machine Learning for AI in Microsoft Fabric (DP 604)

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.

Why Attend:

• See how Microsoft Fabric enables seamless collaboration for data scientists (data ingestion, notebooks, model training) within a unified platform. (Torque IT)
• Learn how to use Data Wrangler to preprocess, clean and transform data in real-world ML pipelines. (Torque IT)
• Discover batch model prediction and how models are saved, used and operationalised in this new Fabric context. (Torque IT)
• Relevant to: Data Engineers, Data Fabric Engineers, Tech Enthusiasts wanting hands-on with cutting-edge Microsoft stack.

Key Outcomes:

• Understand how ML workflows change when working in Microsoft Fabric vs traditional Azure stacks.
• Practical exposure to notebook-based modelling, MLflow tracking and batch inference within Fabric.
• Insights you can apply immediately to your environment, whether you’re a student, analyst or engineer.

CTA:
Reserve your free spot and get ready to elevate your data science and ML skills in the Microsoft Fabric era.