Implementing a Machine Learning solution with Azure Databricks (DP-3014)

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

$995.00

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

More Information:

  • Learning Style: Virtual
  • Provider: Microsoft
  • Difficulty: Intermediate
  • Course Duration: 1 Day
  • Course Info: Download PDF
  • Certificate: See Sample

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Course Information

About This Course:

Azure Databricks offers a collaborative environment where data scientists and engineers can seamlessly integrate with popular tools like Apache Spark™ for big data processing and MLflow for managing the end-to-end machine learning lifecycle

Course Objectives:

  • Get started with Azure Databricks
  • Identify Azure Databricks workloads
  • Understand key concepts
  • Get to know Spark
  • Create a Spark cluster
  • Use Spark in notebooks
  • Use Spark to work with data files
  • Visualize data
  • Understand principles of machine learning
  • Machine learning in Azure Databricks
  • Prepare data for machine learning
  • Train a machine learning model
  • Evaluate a machine learning model
  • Capabilities of MLflow
  • Run experiments with MLflow
  • Register and serve models with MLflow
  • Optimize hyperparameters with Hyperopt
  • Review Hyperopt trials
  • Scale Hyperopt trials
  • What is AutoML?
  • Use AutoML in the Azure Databricks user interface
  • Use code to run an AutoML experiment
  • Understand deep learning concepts
  • Train models with PyTorch
  • Distribute PyTorch training with Horovod

Audience:

  • Data professionals seeking to utilize Azure Databricks for ML
  • Data scientists/engineers wanting to apply ML workflows
  • Azure users aiming to implement scalable ML solutions
  • Professionals preparing for Azure Databricks certifications
  • Technical personnel interested in combining Azure services with ML

Prerequisites:

  • Fundamental understanding of Azure
  • Basic knowledge of machine learning concepts
  • Experience with Python programming
  • Familiarity with Apache Spark and Databricks platform
  • Prior exposure to data processing and ETL tasks

Outline

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