DP-3014: Implementing a Machine Learning solution with Azure Databricks
- Highly interactive DP-3014 training taught by industry leaders
- The latest DP-3014 Course Content to help you master Machine Learning with Azure Databricks
- Our DP-3014 Course highlights the promise of 98% Pass Rate
- DP-3014 Course benefits with Career Transformations across the globe
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Program Highlights
InfosecTrain’s DP-3014: Machine Learning with Azure Databricks Training course equips you to employ the power of Azure Databricks, a powerful cloud-based platform designed for data analysis and machine learning at scale. Whether you’re a Data Scientist or a Data Engineer, this course empowers you to develop and deploy advanced machine learning solutions seamlessly, leveraging the vast computing resources of the cloud. Unlock the potential of big data and cutting-edge algorithms to drive innovation and gain a competitive edge in your field.
8 Hours of Instructor-led Training - Learn from Industry Experts
- Highly Interactive and Dynamic Sessions
- Get Certificate of Participation
- Learn with Real-World Scenarios
- Career Guidance and Mentorship
- Extended Post Training Support
- Access to Recorded Sessions
8 Hours of Instructor-led Training 
Learn from Industry Experts 
Highly Interactive and Dynamic Sessions 
Get Certificate of Participation 
Learn with Real-World Scenarios 
Career Guidance and Mentorship 
Extended Post Training Support 
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About course
Unlock your transformative learning journey with InfosecTrain DP-3014 Mastering Machine Learning with Azure Databricks Training course. This course equips participants with the skills to leverage Azure Databricks for powerful machine-learning solutions. Starting from setting up the Databricks environment, you’ll delve into data processing, exploration, and integration with key Azure services like Azure Machine Learning and Cosmos DB. Learn to build, tune, and deploy machine learning models using Databricks’ MLlib, and master data visualization techniques for insightful analytics. Ideal for data scientists and engineers, this course ensures participants gain hands-on experience to apply Azure Databricks effectively in real-world scenarios.
Learning Outcome
Explore Azure Databricks
- Provision an Azure Databricks workspace
- Identify core workloads and personas for Azure Databricks
- Describe key concepts of an Azure Databricks solution
- Lab: Explore Azure Databricks
Use Apache Spark in Azure Databricks
- Describe key elements of the Apache Spark architecture
- Create and configure a Spark cluster
- Describe use cases for Spark
- Use Spark to process and analyze data stored in files
- Use Spark to visualize data
- Lab: Use Spark in Azure Databricks
Train a Machine Learning Model in Azure Databricks
- Prepare data for machine learning
- Train a machine-learning model
- Evaluate a machine learning model
- Lab: Train a machine learning model in Azure Databricks
Use MLflow in Azure Databricks
- Use MLflow to log parameters, metrics, and other details from experiment runs
- Use MLflow to manage and deploy trained models
- Lab: Use MLflow in Azure Databricks
Tune hyperparameters in Azure Databricks
- Use the Hyperopt library to optimize hyperparameters
- Distribute hyperparameter tuning across multiple worker nodes
- Lab: Optimize hyperparameters for machine learning in Azure Databricks
Use AutoML in Azure Databricks
- Use the AutoML user interface in Azure Databricks
- Use the AutoML API in Azure Databricks
- Lab: Use AutoML in Azure Databricks
Train Deep Learning Models in Azure Databricks
- Train a deep learning model in Azure Databricks
- Distribute deep learning training by using the Horovod library
- Lab: Train deep learning models on Azure Databricks
Target Audience
- Data Engineers
- Data Scientists
- Ideal for professionals aiming for Azure Databricks certifications
- Suitable for tech personnel integrating Azure services with ML
Pre-requisites
- A fundamental understanding of Azure is required
- Basic knowledge of machine learning concepts
- Experience with Python programming essential
- Familiarity with Apache Spark and the Databricks platform
- Prior experience in data processing and ETL tasks
Course Objectives
- Understand how to provision and navigate an Azure Databricks workspace, identifying core workloads and key concepts.
- Learn to create and configure Spark clusters, process and analyze data, and utilize Spark for data visualization.
- Prepare data, train, and evaluate machine learning models using Azure Databricks.
- Implement MLflow for logging experiments, managing, and deploying machine learning models.
- Master the use of the Hyperopt library to optimize machine learning model parameters across multiple nodes.
- Gain proficiency in using AutoML for streamlined model training and deployment within Azure Databricks.
- Train deep learning models and distribute training using the Horovod library for enhanced performance.
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Frequently Asked Questions
What is the DP-3014 Exam for Azure Databricks?
The DP-3014 Exam tests your knowledge and skills in implementing Azure Databricks environments, including the platform's setup, configuration, and operational management within Microsoft Azure.
Why should I pursue the DP-3014 Exam?
Pursuing the DP-3014 exam can validate your expertise in Azure Databricks, enhancing your professional credibility and opening opportunities for career advancement in fields requiring big data and data analytics expertise.
Who should take the DP-3014 Exam training?
The target audience for the DP-3014 exam includes:
- Data Engineer
- Data Scientist
- Ideal for professionals aiming for Azure Databricks certifications
- Suitable for tech personnel integrating Azure services with ML
What are the prerequisites for the DP-3014 Exam?
- A fundamental understanding of Azure is required
- Basic knowledge of machine learning concepts
- Experience with Python programming essential
- Familiarity with Apache Spark and the Databricks platform
- Prior experience in data processing and ETL tasks
How can I prepare for the DP-3014 exam?
- Enroll in InfosecTrain s Azure Databricks instructor-led training
- Practice with hands-on labs and real-world scenarios
- Study the latest Azure Databricks documentation
- Join study groups or forums
What is Azure Databricks, and why is it important?
Azure Databricks is a cloud-based big data analytics platform optimized for Microsoft Azure cloud services. It offers a collaborative environment for processing big data tasks and machine learning with optimized Apache Spark integration.
What is the format of the DP-3014 exam?
The exam typically includes multiple-choice questions, drag-and-drop activities, and scenario-based queries to test a candidate's practical and theoretical knowledge.
How long does it take to complete the DP-3014 Exam training?
The duration of the DP-3014 training is 8 hours.
Can I take the DP-3014 exam online?
Yes, the DP-3014 exam can be taken remotely or online as a proctored exam in a certified testing center.
What is the passing score for the DP-3014 exam?
The passing score is 700 out of 1000.
Where can I find more information about the DP-3014 certification training?
You can find more information on the official Microsoft Certification website.
