Implement A Machine Learning Solution With Azure Databricks DP3014 Training in Oxford

Implement a Machine Learning solution with Azure Databricks DP-3014 Course Outline

Module 1: Explore Azure Databricks

• Introduction
• Get Started with Azure Databricks
• Identify Azure Databricks Workloads
• Understand Key Concepts
• Data Governance Using Unity Catalog and Microsoft Purview
• Exercise - Explore Azure Databricks

Module 2: Use Apache Spark in Azure Databricks

• Introduction
• Get to Know Spark
• Create A Spark Cluster
• Use Spark in Notebooks
• Use Spark to Work with Data Files
• Visualise Data
• Exercise - Use Spark in Azure Databricks

Module 3: Train A Machine Learning Model in Azure Databricks

• Introduction
• 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
• Exercise - Train A Machine Learning Model in Azure Databricks

Module 4: Use MLflow in Azure Databricks

• Introduction
• Capabilities of MLflow
• Run Experiments with MLflow
• Register and Serve Models with MLflow
• Exercise - Use MLflow in Azure Databricks

Module 5: Tune Hyperparameters in Azure Databricks

• Introduction
• Optimise Hyperparameters with Hyperopt
• Review Hyperopt Trials
• Scale Hyperopt Trials
• Exercise - Optimise Hyperparameters for Machine Learning in Azure Databricks

Who Should Attend This Implement a Machine Learning solution with Azure Databricks DP-3014 Training?

The Implement a Machine Learning solution with Azure Databricks DP-3014 Training Course is ideally suited for individuals looking to deepen their understanding and expertise in cloud-based machine learning solutions using Azure Databricks. This training is particularly beneficial for:

• Data Scientists
• Machine Learning Engineers
• IT Professionals
• Data Analysts
• Software Engineers
• Cloud Architects
• System Administrators
• IT Managers and Directors

Prerequisites of the Implement a Machine Learning solution with Azure Databricks DP-3014 Training

There are no formal prerequisites for attending this Implement a Machine Learning solution with Azure Databricks DP-3014 Training Course.

Implement a Machine Learning solution with Azure Databricks DP-3014 Course Overview

Azure Databricks is a cloud-based platform designed to simplify big data processing. It provides an integrated environment for data engineering, machine learning, and collaborative data science. For organisations, this training enhances data-driven decision-making capabilities, accelerating innovation and improving operational efficiencies. Individuals benefit by gaining advanced skills in managing and analysing large datasets, making them valuable assets to their teams. Delegates will enhance their career prospects by mastering a high-demand technology, positioning themselves as leading candidates in the fields of data science and machine learning.

In this comprehensive one-day course on Implementing Machine Learning solutions with Azure Databricks DP-3014, delegates will delve into the practical aspects of using Azure Databricks for machine learning applications. They will learn how to utilise Apache Spark within Azure Databricks to manage big data effectively. The training covers how to train machine learning and deep learning models, optimise model parameters, and use Azure Databricks tools like MLflow and AutoML to streamline the machine learning lifecycle from experimentation to production.

Course Objectives:

• To understand Azure Databricks and its ecosystem
• To create and manage Spark clusters efficiently
• To conduct data processing and visualisation in Spark
• To implement machine learning models in Databricks
• To utilise MLflow for managing machine learning workflows
• To optimise machine learning models using Hyperopt
• To deploy and manage models using Azure's best practices

After attending this training, delegates will be equipped with the skills to implement and manage machine learning projects effectively using Azure Databricks. They will be able to configure and optimise Apache Spark environments, apply machine learning techniques to solve complex data challenges, and utilise advanced tools like MLflow and AutoML to enhance model performance and deployment. These capabilities will enable them to lead machine learning initiatives, contributing to their organisation's success by leveraging the power of big data and advanced analytics.

What’s included in this Implement a Machine Learning solution with Azure Databricks DP3014 Course? 

• World-Class Training Sessions from Experienced Instructors  
• Implement a Machine Learning solution with Azure Databricks DP3014 Course Certificate
• Digital Delegate Pack