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Advanced Data Science tools in Microsoft Fabric

training code: Microsoft Fabric / ENG DL 3d / EN

The training presents the latest capabilities of the Microsoft Fabric platform, focusing on the practical use of Data Science tools. Participants learn key features that support data analysis, machine learning model development, and the integration of Cognitive Services, enabling the creation of modern, intelligent analytical solutions.

For more information, please contact the sales department. For more information, please contact the sales department.
5,000.00 PLN 6,150.00 PLN with TAX

The training is intended for:

  • Data Scientists who want to use the Microsoft Fabric ecosystem in their daily work,
  • data analysts looking for tools to automate and improve analytical processes,
  • data engineers working with large datasets in the cloud,
  • AI and ML specialists who want to integrate models with Cognitive Services,
  • individuals developing competencies in building responsible and interpretable predictive models (including with FairLearn).
  • Microsoft Fabric in Data Science – you will discover how to use the platform to build complete end-to-end analytical processes.
  • Data quality assessment with SynapseML – you will learn how to analyze data and identify issues that affect models.
  • Data Wrangler – you will learn how to efficiently prepare data for modeling using tools built into Fabric.
  • MLflow and model registration – you will see how to monitor experiments and manage the model lifecycle.
  • Cognitive Services – you will learn how to enrich projects with abilities similar to human skills: text understanding, image analysis, and speech processing.
  1. Introduction to Microsoft Fabric
  2. Introduction to Azure Cognitive Services
  3. Data science projects on Fabric platform
  4. Data evaluation with SynapseML library
  5. Data preparation for modelling
  6. Logging experiments with MlFlow library
  7. Registering models
  8. Predictive queries and model deployment
  9. Natural language processing with Cognitive Service
  10. Speech processing with Cognitive Services
  11. Image processing with Cognitive Services

Python knowledge. Acquaintance with Machine Learning algorithms (completing Machine Learning course with the use of Azure Machine Learning Service graphic tools).

The training is mainly addressed to developers.

Attention – If you associate random forests with exotic holiday, and multiple cross validation with unpleasant orthodontic surgery, first of all we encourage you to participate in the training "Machine Learning with Azure Machine Learning Service graphic tools". As part of the course, individual ML projects stages, popular Machine Learning algorithms and methods of evaluating predictive models.

Training method:

Lecture + exercises

  • Training: English
  • Materials: English