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Hybrid Training Program

Azure Data Scientist Associate Engineer Certification Training

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12 Live Sessions

Azure Data Scientist Associate Engineer Tools and Technologies Covered

Python
Logic Building
OOPs
Jupyter
Code Debugging
Statistics
Machine Learning
AI
NLP
Open AI
GitHub Copilot

Azure Data Scientist Associate Engineer Course Key Features

  • 10 Weeks of Intensive Live Training
  • Learn from Microsoft MVPs
  • Build Data Science Projects
  • Career Coaching
  • Resume & Portfolio Building
  • Job Assistance

Why Become Azure Data Scientist Associate Engineer in 2025?

  • High Demand: Azure-certified data scientists are in demand globally.
  • Top Salaries: Earn competitive pay with in-demand skills.
  • Diverse Projects: Work on AI, machine learning, and big data.
  • Future-Proof: Stay relevant with expertise in Azure tools.
  • Global Opportunities: Access roles in top companies worldwide.
  • Career Growth: Stand out with Azure data science certification.

  • Azure Data Science Stats
    No.1

    Public Cloud Provider Globally

    ~3M

    Websites use Azure Cloud

    200+

    Cloud Services offered by Azure

    INR 8-20 LPA

    Azure Data Scientist Salary

    ~1.8M

    Career Opportunities in Data Science

    ~42.5%

    Growth in Data Science market Size

    Azure Data Scientist Associate Engineer Career Scope in 2025

    Are you thinking about Azure Data Scientist Associate Engineer Training? It’s definitely a game-changer for your career! Azure-certified data scientists are among the highest earners in the tech industry. This is because Azure's tools and services are widely used across diverse industries—from startups to large enterprises—for building scalable data-driven solutions and AI-powered applications, offering immense earning potential and career stability.

  • Azure Data Scientist: Deploy predictive models with Azure ML.
  • AI/ML Engineer: Build AI solutions using Azure tools.
  • Data Analyst: Visualize data with Synapse and Power BI.
  • Cloud Developer: Create cloud apps with Azure services.
  • Data Engineer: Manage pipelines using Data Factory.


  • Course Curriculum

    Design a Machine Learning Solution
    • Azure Machine Learning services
    • Key components of Azure ML (workspaces, datasets, experiments)
    • Identify business objectives and project feasibility
    • Select algorithms for the task
    • Data and Resource Planning
    • Set up Git integration for source control
    • Create and manage registries
    Explore Data and Train Models
    • Data Exploration and Preprocessing
    • Intro to feature engineering
    • Create, select, and transform features
    • Apply feature scaling techniques
    • Create a training pipeline
    • Data assets from the designer
    • Custom code components
    • Evaluate the model, including responsible AI guidelines
    Prepare a Model for Deployment
    • Configure job run settings for a script
    • Configure compute for a job run
    • Consume data from a data asset in a job
    • MLflow to log metrics from a job run
    • Logs to troubleshoot job run errors
    • Configure an environment for a job run
    • Define parameters for a job
    • Create a pipeline
    • Pass data between steps in a pipeline
    • Run and schedule a pipeline
    • Describe MLflow model output
    Deploy and Retrain a Model
    • Configure settings for online deployment
    • Configure compute for a batch deployment
    • Deploy a model to an online endpoint
    • Deploy a model to a batch endpoint
    • Test an online deployed service
    • Automate model retraining
    • Define event-based retraining triggers

    Azure Data Scientist Associate Engineer Course Eligibility

    Pre-requisites

    There are no prerequisites to join the Azure Data Scientist Associate Engineer Training. However, having a basic understanding of data science concepts or cloud technologies can be helpful.

      Who can Join?

      This course is recommended for any students, beginners and freshers interested in creating end-to-end applications.

    1. Students and Beginners: Start your data science and cloud journey.
    2. Freshers: Leverage Azure for AI and data science roles.
    3. Experienced Developers: Expand skills with Azure machine learning tools.
    4. Data Analysts: Master Azure for advanced data processing and visualization.
    5. AI/ML Enthusiasts: Build and deploy models with Azure services.
    6. IT Professionals: Automate workflows and manage data solutions with Azure.
    7. Entrepreneurs: Create scalable, AI-powered applications using Azure.
    8. OUR ALUMNI WORK AT

      Trusted by learners whose careers now thrive at leading companies

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      Trusted by 2,00,000+ Thought Developers, Tech Leads and Architects

      Course Mentors

      Shailendra Chauhan
      11X MICROSOFT MVP AI ARCHITECT

      Shailendra Chauhan

      Microsoft MVP, Founder & CEO at ScholarHat

      17+ Years of Industry Experience as Mentor & Solution Architect
      Expert in .NET, Angular, React & Python
      Azure Cloud & AI/ML/Gen AI Specialist

      Frequently Asked Questions

      Q1. What is the Azure AI Cloud Sandbox?
      The Azure AI Cloud Sandbox is a secure, isolated environment that lets you practice and experiment with Azure AI services without affecting production resources. It provides hands-on access to real Azure AI capabilities in a risk-free setup.
      Q2. Can I Attend a Demo Session before Enrolment?
      Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.
      Q3. Can I request for a support session if I need to better understand the topics?
      Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
      Q4. Who are your mentors?
      All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by ScholarHat to deliver interactive training to the participants.
      Q5. What If I miss my online training class?
      All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.
      Q6. Can I share my course with someone else?
      In short, no. Check our licensing that you agree to by using ScholarHat LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.
      Q7. Do you provide any course material or live session videos?
      Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.
      Q8. Do you provide training on latest technology version?
      Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.
      Q9. Do you prepare me for the job interview?
      Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.
      Q10. Will I get placement assistance after receiving my course completion certificate?
      Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
      Still have some questions? Let's discuss.
      CONTACT US