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The Microsoft Azure Data Scientist certification exam, coded as DP-100, is a Microsoft certification that focuses on assessing a candidate’s knowledge and skills in designing and implementing machine learning models and solutions on the Microsoft Azure cloud platform. Earning the DP-100 certification demonstrates your expertise in designing and implementing machine learning solutions on Azure.
Curriculum Designed by Experts
Design a machine learning solution
Manage an Azure Machine Learning workspace
Manage data in an Azure Machine Learning workspace
Manage compute for experiments in Azure Machine Learning
Explore data by using data assets and data stores
Create models by using the Azure Machine Learning designer
Use automated machine learning to explore optimal models
Use notebooks for custom model training
Tune hyperparameters with Azure Machine Learning
Run model training scripts
The Microsoft Azure Data Scientist – DP-100 Course Training is designed to build crucial skills in machine learning, data analysis, and model deployment using Azure’s robust platform. By enrolling, you’ll gain expertise in Azure Machine Learning, data engineering, and MLOps, preparing you for high-demand roles in today’s data-focused market.
The Microsoft Azure Data Scientist – DP-100 Course Training opens doors to roles like Data Scientist, Machine Learning Engineer, and AI Specialist. With hands-on skills in Azure Machine Learning and data-driven insights, you'll be prepared for high-demand, rewarding careers in advanced analytics and AI fields.
The DP-100 Course Training for Microsoft Azure Data Scientists is necessary for anyone pursuing expertise in cloud adoption. Focusing on Azure Machine Learning, data processing, and scalable model deployment, this course equips you with skills to lead advanced cloud-based data initiatives, vital in today’s cloud-driven tech landscape.
The Microsoft Azure Data Scientist – DP-100 Course Training provides in-depth skills in scalability and flexibility, crucial for modern data science. Through this course, you’ll learn to build, deploy, and manage scalable machine learning models on Azure, adapting to evolving data requirements and business demands, making you indispensable in dynamic cloud environments.
The DP-100 Course Training for Microsoft Azure Data Scientists is perfect for mastering cost management in cloud-based projects. Learn to optimize resources, reduce expenses, and manage data efficiently on Azure, gaining skills that make you invaluable in cost-effective data science solutions.
Ensure data security and compliance with our Microsoft Azure Data Scientist – DP-100 Course Training. Master Azure's robust security features, from data encryption to compliance with industry standards. Enroll now to gain expertise in securing data science solutions on Azure while meeting regulatory needs.
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Infrastructure Provisioning
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.