AWS Machine Learning vs Azure AI Engineer
Compare AWS ML Specialty and Azure AI Engineer Associate certifications for machine learning careers.
AWS Machine Learning - Specialty
Amazon Web Services
Azure AI Engineer Associate (AI-102)
Microsoft
Feature-by-Feature Breakdown
Compare all aspects of these certifications side by side
| Feature | AWS Machine Learning - Specialty | Azure AI Engineer Associate (AI-102) |
|---|---|---|
| Provider | Amazon Web Services | Microsoft |
| Difficulty Level | Specialty | Associate |
| Exam Duration | 180 minutes | 120 minutes |
| Exam Cost | $300 USD | $165 USD |
| Exam Format | 65 questions | 40-60 questions + labs |
| Prerequisites | 2+ years ML experience | Python/C# experience |
| Validity Period | 3 years | 1 year (renewal) |
| Ideal For | ML engineers, data scientists on AWS | AI developers using Azure services |
| Salary Range | $140,000 - $200,000 | $120,000 - $175,000 |
What Each Certification Covers
Key topics and domains covered in each exam
AWS Machine Learning - Specialty Focus Areas
- SageMaker
- Data Engineering
- Modeling
- ML Implementation
- Operations
Azure AI Engineer Associate (AI-102) Focus Areas
- Azure Cognitive Services
- Azure Bot Service
- Azure ML
- Computer Vision
- NLP
Our Recommendation
AWS ML is more technical/deep; Azure AI focuses on pre-built cognitive services.
Choose AWS Machine Learning - Specialty
Choose AWS ML Specialty for custom model building with SageMaker.
Choose Azure AI Engineer Associate (AI-102)
Choose Azure AI Engineer for implementing pre-built AI services.
Frequently Asked Questions
Which is better: AWS Machine Learning - Specialty or Azure AI Engineer Associate (AI-102)?
AWS ML is more technical/deep; Azure AI focuses on pre-built cognitive services.
What are the salary differences between AWS Machine Learning - Specialty?
AWS Machine Learning - Specialty typically offers salaries around $140,000 - $200,000, while Azure AI Engineer Associate (AI-102) offers $120,000 - $175,000.
Which certification should I get first?
Choose AWS ML Specialty for custom model building with SageMaker. Choose Azure AI Engineer for implementing pre-built AI services.
How long does it take to prepare for these certifications?
Preparation time varies based on experience. Most candidates spend 4-12 weeks studying, depending on their background and the certification difficulty level.
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