What you'll get
- 4+ Hours
- 1 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Successfully cleared the Azure Machine Learning certification (DP-100) on the first attempt
- Gains the practical expertise required to deploy and manage solutions on the Azure ML ecosystem
- Earns the Azure Data Scientist Associate credential, validating industry-ready skills
- Stays aligned with the newest advancements and feature rollouts on the evolving Azure ML platform
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| DP-100 Microsoft Azure DS Exam | 4h 34m | ✔ | View Curriculum |
Description
The DP-100 Azure Machine Learning Certification Training course delivers a structured learning path aligned with the latest version of the DP-100 Microsoft Azure Data Scientist Associate exam, focused on building and deploying data science and machine learning systems on Azure.
It breaks down the exam syllabus into clear stages, guiding learners through the major competencies needed to design, develop, train, optimize, deploy, and monitor ML models using Azure Machine Learning services. The program emphasizes real-world application of data science principles within the Azure cloud environment, covering end-to-end ML workflows from experimental model training to production deployment.
Throughout the training, learners gain hands-on experience in configuring ML workspaces, executing model training tasks, enhancing model performance, managing model lifecycles, operationalizing solutions, and implementing retraining strategies after deployment.
The official certification evaluates a candidate's capability in the following core skill areas: provisioning an Azure Machine Learning workspace, performing ML experiments, tuning and supervising models, deploying ML assets to live environments, and integrating model consumption pipelines.
The course curriculum maps to these exam objective domains:
- Machine learning design & environment setup — 20–25%
- Data analysis & predictive model training — 35–40%
- Model packaging for production release — 20–25%
- Model deployment & automated retraining — 10–15%
Trademark Disclaimer: Microsoft, Windows, and Microsoft Azure are the intellectual property of Microsoft Corporation. This training program is not officially validated, recognized, sponsored, partnered, or approved by Microsoft. It does not offer formal accreditation or certification from Microsoft and is intended solely as an independent exam-preparation and skills-development course.
Requirements
- Some familiarity with navigating the Azure dashboard is beneficial
- Prior exposure to Python or any general-purpose programming language is recommended
- Requires access to a valid Microsoft Azure account (either free-tier or licensed plan)
- Brings strong motivation and enthusiasm to explore Azure's expanding cloud services
Target Audience
- Learners targeting the Azure DP-100 certification
- Data professionals expanding ML implementation skills
- Experienced Azure and technical practitioners
