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Microsoft Machine Learning Course Online

36 Lessons
|
40 hours

kodestree offers the best Microsoft Azure Machine Learning course online worldwide. This comprehensive training program covers key topics such as understanding core machine learning concepts, building and deploying machine learning models with Azure Machine Learning, working with automated ML (AutoML), leveraging Azure Databricks for big data processing, implementing responsible AI principles, and integrating ML solutions with Azure Cognitive Services. These Microsoft ML course modules are designed by industry experts with over 15 years of experience. Enroll in the Microsoft Machine Learning training today to prepare for certifications like Microsoft Certified: Azure Data Scientist Associate (DP-100) and become certified in advanced AI and machine learning technologies using Microsoft Azure.

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Microsoft Machine Learning Course Online
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About Course

Prerequisites:

  • Basic understanding of Microsoft Azure and cloud concepts
  • Familiarity with programming languages (preferably Python)
  • Knowledge of statistics and probability
  • Experience with data analysis or data visualization tools (e.g., Pandas, Matplotlib)
  • Optional: Prior experience with machine learning libraries like scikit-learn or TensorFlow

What You Will Learn:

  1. Fundamentals of Azure Machine Learning
  2. Data preparation and feature engineering in Azure ML
  3. Building, training, and evaluating ML models
  4. Automating ML workflows and deploying models
  5. Managing and monitoring ML models with MLOps
  6. Integrating ML models with Azure Functions and Logic Apps
  7. Preparing for Microsoft DP-100 Certification
  8. Best practices for responsible and secure ML development

Course Curriculum

Course Content

Lesson 1 – Introduction to Machine Learning and Azure ML Platform

  • Overview of machine learning concepts and lifecycle
  • Introduction to Microsoft Azure Machine Learning
  • Setting up Azure ML workspace, compute, and environment
  • Understanding ML development tools (SDKs, Studio, CLI)

Lesson 2 – Data Preparation and Feature Engineering

Lesson 3 – Building and Training ML Models in Azure

Lesson 4 – Model Deployment and Inference

Lesson 5 – Machine Learning Operations (MLOps)

Lesson 6 – Responsible ML and Security

Lesson 7 – Integration with Azure Services

Lesson 8 – Monitoring and Troubleshooting ML Models

Lesson 9 – DP-100 Certification Preparation

₹47,940.00
  • Intermediate
  • 50 Total Enrolled
  • 40 hours Duration
  • September 15, 2026 Last Updated

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    ₹47,940.00
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    • Duration: 40 hrs
    • 36 Lessons & Practical Labs
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    ₹47,940.00
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    • Live Interactive Training: 40 hrs
    • 36 Lessons across 9 Modules
    • Plus Full Self-Paced Access & Recordings
    • Real-World Projects & Case Studies
    • 1-on-1 Doubt Sessions with Industry Experts
    • Exam Prep & Official Certification Support
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    Want to know Today's Offer

    Microsoft Machine Learning Course Online Certification Exam

    Upon completing the Microsoft Machine Learning Course Online, you will receive a globally recognized certification that validates your expertise in data science, machine learning, and AI model development. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

    The AI & Data Science certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

    Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

    Read more
    Microsoft Machine Learning Course Online

    Frequently Asked Questions

    The Microsoft Machine Learning Course Online is designed to provide comprehensive, in-depth training in Microsoft Machine Learning. Prerequisites: Basic understanding of Microsoft Azure and cloud concepts Familiarity with programming languages (preferably Python) Knowledge of statistics and probability Experience with data analysis or data visualization tools (e.g., Pandas, Matplotlib) Optional: Prior experience with machine learning libraries like scikit-learn or TensorFlow What You Will Learn: Fundamentals of Azure Machine Learning Data preparation and feature engineering in Azure ML Building, training, and evaluating ML models Automating ML workflows and deploying models Managing and monitoring ML models with MLOps Integrating ML models with Azure Functions and Logic Apps Preparing for Microsoft DP-100 Certification Best practices for responsible and secure ML development The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

    This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Microsoft Machine Learning and qualify for relevant industry roles. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

    The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

    Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Microsoft Machine Learning tools and best practices, helping you build a portfolio to showcase to hiring managers.

    Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into relevant industry roles.

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    The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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    After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

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    Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

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    Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

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    This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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