Contact us:
+48 22 379 02 00
info@cloudteam.pl
PL
EN
DP-090
Implementing a Machine Learning Solution with Microsoft Azure Databricks

The course has been retired.

AUDIENCE
Data Scientist
LEVEL

Introductory (100) – preliminary course, overview

Intermediate (200) – the course extends the knowledge from the level 100 with specific issues

Advanced (300) – the course extends the knowledge from the level 300 with specific issues

Expert (400) – the training course involves an expert level of knowledge and experience and provides an in-depth analysis of the issue

Intermediate
LENGTH
1 day
TRAINING METHOD
vILT

Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

AUDIENCE PROFILE

This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks.

ACQUIRED SKILLS

  • Provision an Azure Databricks workspace and cluster
  • Use Azure Databricks to train a machine learning model
  • Use MLflow to track experiments and manage machine learning models
  • Integrate Azure Databricks with Azure Machine Learning

Module 1: Introduction to Azure Databricks

  • Getting Started with Azure Databricks
  • Working with Data in Azure Databricks
  • Lab: Getting Started with Azure Databricks
  • Lab: Working with Data in Azure Databricks

Module 2: Training and Evaluating Machine Learning Models

  • Preparing Data for Machine Learning
  • Training a Machine Learning Model
  • Lab: Training a Machine Learning Model
  • Lab: Preparing Data for Machine Learning

Module 3: Managing Experiments and Models

  • Using MLflow to Track Experiments
  • Managing Models
  • Lab: Using MLflow to Track Experiments
  • Lab: Managing Models

Module 4: Integrating Azure Databricks and Azure Machine Learning

  • Tracking Experiments with Azure Machine Learning
  • Deploying Models
  • Lab: Deploying Models in Azure Machine Learning
  • Lab: Running Experiments in Azure Machine Learning
Detailed Agenda

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:

CLOUDTEAM HAS BEEN YOUR RELIABLE IT TRAINING PARTNER FOR 20 YEARS