Radical Technologies

Microsoft Azure Data Scientist – DP-100

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.

google
0 +

Google Reviews

0 +

JustDial Reviews

The Syllabus

Curriculum Designed by Experts

Design and prepare a machine learning solution

Design a machine learning solution

  • Determine the appropriate compute specifications for a training workload
  • Describe model deployment requirements
  • Select which development approach to use to build or train a model

Manage an Azure Machine Learning workspace

  • Create an Azure Machine Learning workspace
  • Manage a workspace by using developer tools for workspace interaction
  • Set up Git integration for source control

Manage data in an Azure Machine Learning workspace

  • Select Azure Storage resources
  • Register and maintain datastores
  • Create and manage data assets

Manage compute for experiments in Azure Machine Learning

  • Create compute targets for experiments and training
  • Select an environment for a machine learning use case
  • Configure attached compute resources, including Apache Spark pools
  • Monitor compute utilization
Explore data and train models

Explore data by using data assets and data stores

  • Access and wrangle data during interactive development
  • Wrangle interactive data with Apache Spark

Create models by using the Azure Machine Learning designer

  • Create a training pipeline
  • Consume data assets from the designer
  • Use custom code components in designer
  • Evaluate the model, including responsible AI guidelines

Use automated machine learning to explore optimal models

  • Use automated machine learning for tabular data
  • Use automated machine learning for computer vision
  • Use automated machine learning for natural language processing (NLP)
  • Select and understand training options, including preprocessing and algorithms
  • Evaluate an automated machine learning run, including responsible AI guidelines

Use notebooks for custom model training

  • Develop code by using a compute instance
  • Track model training by using MLflow
  • Evaluate a model
  • Train a model by using Python SDK
  • Use the terminal to configure a compute instance

Tune hyperparameters with Azure Machine Learning

  • Select a sampling method
  • Define the search space
  • Define the primary metric
  • Define early termination options
Prepare a model for deployment

Run model training scripts

  • Configure job run settings for a script
  • Configure compute for a job run
  • Consume data from a data asset in a job
  • Run a script as a job by using Azure Machine Learning
  • Use MLflow to log metrics from a job run

Enquire Now

    Why Radical Technologies

    Live Online Training

    Highly practical oriented training
    Installation of Software On your System
    24/7 Email and Phone Support
    100% Placement Assistance until you get placed
    Global Certification Preparation
    Trainer Student Interactive Portal
    Assignments and Projects Guided by Mentors
    And Many More Features
    Course completion certificate and Global Certifications are part of our all Master Program

    Live Classroom Training

    Weekend / Weekdays / Morning / Evening Batches
    80:20 Practical and Theory Ratio
    Real-life Case Studies
    Easy Coverup if you missed any sessions
    PSI | Kryterion | Redhat Test Centers
    Life Time Video Classroom Access ( coming soon )
    Resume Preparations and Mock Interviews
    And Many More Features
    Course completion certificate and Global Certifications are part of our all Master Program

    Self Paced Training

    Self Paced Learning
    Learn 300+ Courses at Your Own Time
    50000+ Satisfied Learners
    Course Completion Certificate
    Practical Labs Available
    Mentor Support Available
    Doubt Clearing Session Available
    Attend Our Virtual Job Fair
    10% Discounted Global Certification
    Course completion certificate and Global Certifications are part of our all Master Program

    Skills Covered

    • Training Machine Learning Models

    • Exploring and Visualizing Data

    • Data Preparation and Processing in Azure

    • Configuring a Workspace for Azure Machine Learning

    • Automating Machine Learning Pipelines

    • Deploying and Managing Models in Azure

    • Evaluating Model Performance

    • Working with Big Data and Parallel Processing in Azure

    • Responsible AI and Model Interpretability

    • Monitoring and Managing Model Performance in Production

    tool covered

    Like the Curriculum ? Let's Get Started

    Why Enroll for Microsoft Azure Data Scientist – DP-100 ?

    In-Demand Skills

    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.

    Career Opportunities

    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.

    Cloud Adoption

    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.

    Scalability and Flexibility

    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.

    Cost Management

    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.

    Security and Compliance

    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.

    Course benefits

    • Industry-Recognized Credential

    • Hands-On Experience with Azure Machine Learning

    • Deepens Knowledge of Data Science and Machine Learning Techniques

    • Skills in Managing and Optimizing Machine Learning Models

    • Enhanced Knowledge of Data Engineering and Data Processing

    • Opens Up Advanced Career Opportunities

    • Boosts Your Cloud Competency with Azure-Specific Skills

    • Prepares You for Implementing MLOps Practices

    • Access to Microsoft's Learning Resources and Community Support

    • Potential for Higher Salary and Job Security

    • Supports Lifelong Learning and Professional Growth

    • Improves Understanding of Responsible AI and Model Ethics

    Who Can Apply for Red Hat Linux

    Why Microsoft Azure Data Scientist – DP-100 ?

    Scalability

    Boost your data solutions' scalability with our Microsoft Azure Data Scientist – DP-100 Course Training. Learn to build and deploy machine learning models that expand effortlessly on Azure, meeting growing data demands with ease. Enroll now to master scalable, cloud-based data science on Azure.

    Cost-Effectiveness

    Achieve cost-effectiveness with Microsoft Azure Data Scientist – DP-100 Course Training. Learn to optimize resources and reduce costs while deploying machine learning models on Azure. Enroll now to gain skills in building efficient, budget-friendly data science solutions on a scalable cloud platform.

    Hybrid Capabilities

    Unlock hybrid capabilities with Microsoft Azure Data Scientist – DP-100 Course Training. Learn to build machine learning models that work across cloud and on-premises environments, boosting versatility and performance. Enroll to master Azure’s hybrid tools for seamless, scalable data science solutions.

    Flexibility

    Enhance your data science flexibility with Microsoft Azure Data Scientist – DP-100 Course Training. Gain skills to create adaptable machine learning models on Azure, tailoring solutions to various business needs. Enroll now to leverage Azure’s flexible, cloud-based tools for impactful data insights.

    Security and Compliance

    Gain expertise in data security and compliance with the Training for the Microsoft Azure Data Scientist DP-100 Course. This course teaches you to build and deploy secure, compliant machine learning models on Azure, meeting industry standards and protecting sensitive data. Enroll now for skills in reliable, compliant data science solutions.

    Innovation

    Unlock new levels of innovation with the Microsoft Azure Data Scientist – DP-100 Course Training. Gain expertise in developing advanced machine learning models on Azure, using cutting-edge tools to tackle complex data challenges. Enroll now to build impactful, innovative solutions and excel in the world of data science.

    Global Certification

    • Preparing an Azure Machine Learning Environment

    • Data Preparation and Exploration

    • Model Training and Evaluation

    • Model Deployment and Management

    • Automating and Monitoring Machine Learning Pipelines

    • Responsible AI and Model Interpretability

    • Working with Big Data and Advanced Azure Integrations

    course certificate

    Red Hat Linux Fees in Bangalore

    Online Classroom PREFERRED

    16 jul

    TUE - FRI
    07.00AM TO 09.00
    AM LST (GMT +5:30)
    Radical

    20 jul

    SAT - SUN
    10.00AM TO 01.00
    PM LST (GMT +5:30)
    Radical

    20 jul

    SAT - SUN
    08.00PM TO 11.00
    PM LST (GMT +5:30)
    Radical

    ₹ 85,044

    Online Classroom PREFERRED

    Discount Voucher

    "Register Now to Secure Your Spot in Our Featured Course !"

    BOOK HERE

    career services

    About Us

    At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.

    At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.

    At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.

    Red Hat Linux Course Projects

    Infrastructure Provisioning

    And Configuration Management

    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. 

    software-developer

    Applications Deployment

    And Orchestration

    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

    And Continuous Deployment

    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.

    completed course section

    Radical Learning Eco-System

    Exam simulator