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Training goals

code: DP-3014 | version: A

Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications. In this course, you'll learn how to use Azure Databricks to train and deploy machine learning models.

 

Audience Profile:
This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.

Conspect Show list

  • Build machine learning solutions using Azure Databricks
    • Module 1: Explore Azure Databricks
    • Module 2: Use Apache Spark in Azure Databricks
    • Module 3: Train a machine learning model in Azure Databricks
    • Module 4: Perform hyperparameter tuning with Azure Databricks
    • Module 5: Use AutoML in Azure Databricks
    • Module 6: Manage machine learning models with MLflow in Azure Databricks
    • Module 7: Deploy machine learning models to production in Azure Databricks
    • Module 8: Implement MLOps in Azure Databricks
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Additional information

Prerequisites

This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow.
Difficulty level
Duration 1 day
Certificate

The participants will obtain certificates signed by Microsoft (course completion).
Trainer

Microsoft Certified Trainer (MCT)

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TRAINING PRICE FROM 700 EUR

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