Program Outline
Azure Data Scientist Associate
Warning This certification, related exam, and renewal assessments will retire on June 1, 2026.
Delivery
Virtual, On-site, or Hybrid
Duration
Exam: 100 minutes
Product
Azure
Role
Data Scientist
Microsoft
Machine LearningAzure Data Scientist Associate
Azure
Best Fit
Audience Profile
Who This Program Is For
Built for Data Scientist learners preparing for Azure Data Scientist Associate.
Overview
Program Summary
Warning This certification, related exam, and renewal assessments will retire on June 1, 2026.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Design and prepare a machine learning solution
+
Module 1
Design and prepare a machine learning solution
Official Microsoft Learn measured skill area for Azure Data Scientist Associate.
- Design and prepare a machine learning solution
- Explore data, and run experiments
2Module 2
Explore data, and run experiments
+
Module 2
Explore data, and run experiments
Official Microsoft Learn measured skill area for Azure Data Scientist Associate.
- Train and deploy models
- Optimize language models for AI applications
3Module 3
Train and deploy models
+
Module 3
Train and deploy models
Official Microsoft Learn measured skill area for Azure Data Scientist Associate.
- Train and deploy models
4Module 4
Optimize language models for AI applications
+
Module 4
Optimize language models for AI applications
Official Microsoft Learn measured skill area for Azure Data Scientist Associate.
- Optimize language models for AI applications
Coverage Areas
Topic Coverage
Coverage Item 1
Design and prepare a machine learning solution
Coverage Item 2
Explore data, and run experiments
Coverage Item 3
Train and deploy models
Coverage Item 4
Optimize language models for AI applications
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Align labs to your Microsoft tenant and workload scenarios
- •Add readiness checks and exam preparation reviews
- •Extend delivery with role-specific implementation workshops
