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Microsoft DP-100T01 – Designing and Implementing a Data Science Solution on Azure Certification Training Course

Microsoft DP-100T01 – Designing and Implementing a Data Science Solution on Azure Certification Training Course

Microsoft DP-100T01 – Designing and Implementing a Data Science Solution on Azure Certification Training Course

Microsoft DP-100T01 – Designing and Implementing a Data Science Solution on the Azure Platform is an instructor-led, hands-on certification training course. This certification training covers the operation of Azure machine learning solutions and how to utilise existing knowledge of Python and machine learning to manage data entry and preparation, model training and deployment, and monitoring of machine learning solutions in Microsoft Azure. Candidates can achieve the Microsoft Certified: Azure machine learning solutions operator certification after passing the DP-100T01 – Designing and Implementing a Data Science Solution on Azure exam

Creating cloud resources in Microsoft Azure
Using Python to explore and visualise data
Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow

Microsoft DP-100 – Designing and Implementing a Data Science Solution on Azure

Logitrain course material for Microsoft DP-100T01 – Designing and Implementing a Data Science Solution on Azure provided

  • Provision an Azure Machine Learning workspace
  • Use tools and code to work with Azure Machine Learning
  • Use automated machine learning to train a machine learning model
  • Use Azure Machine Learning designer to train a model
  • Run code-based experiments in an Azure Machine Learning workspace
  • Train and register machine learning models
  • Create and use datastores
  • Create and use datasets
  • Create and use environments
  • Create and use compute targets
  • Create pipelines to automate machine learning workflows
  • Publish and run pipeline services
  • Publish a model as a real-time inference service
  • Publish a model as a batch inference service
  • Describe techniques to implement continuous integration and delivery
  • Optimize hyperparameters for model training
  • Use automated machine learning to find the optimal model for your data
  • Apply differential provacy to data analysis
  • Use explainers to interpret machine learning models
  • Evaluate models for fairness
  • Use Application Insights to monitor a published model

Monitor data drift

Software engineers

  • Introduction to Azure Machine Learning
  • Working with Azure Machine Learning
  • Automated Machine Learning
  • Azure Machine Learning Designer
  • Introduction to Experiments
  • Training and Registering Models
  • Working with Datastores
  • Working with Datasets
  • Working with Environments
  • Working with Compute Targets
  • Introduction to Pipelines
  • Publishing and Running Pipelines
  • Real-time Inferencing
  • Batch Inferencing
  • Continuous Integration and Delivery
  • Hyperparameter Tuning
  • Automated Machine Learning
  • Real-time Inferencing
  • Batch Inferencing
  • Continuous Integration and Delivery
  • Differential Privacy
  • Model Interpretability
  • Fairness
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What is included with the Microsoft DP-100T01 – Designing and Implementing a Data Science Solution on Azure Certification Training Course?
Logitrain course includes official certification exam fee.
Includes Official Exam Fee

Take the certification exam within 3 months of course / module completion

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