Azure AI Engineer AI-102 vs AWS Machine Learning Specialty: which certification should you get? Both validate AI/ML cloud skills, but they test different things and lead to different career paths. Here is the full comparison. This article covers everything you need to know about azure ai-102 vs aws machine learning specialty.
Quick Comparison | Factor | Azure AI-102 | AWS ML Specialty | |
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| | Vendor | Microsoft Azure | AWS | | Level | Associate | Specialty (advanced) | | Focus | Azure AI services (Language, Vision, Speech, Search, Foundry) | AWS ML services (SageMaker, Comprehend, Rekognition) | | Cost | 165 USD | 300 USD | | Questions | 40 to 60 | 65 | | Time | 100 minutes | 180 minutes | | Study Time | 4 to 8 weeks | 8 to 16 weeks | | Difficulty | Moderate | Hard | | Renewal | 1 year | 3 years | | Avg Salary (US) | 120,000 to 180,000 | 130,000 to 190,000 | ## When to Choose Azure AI-102 Choose AI-102 if: - Your organization uses Microsoft Azure - You want to work with Azure AI services (Cognitive Services, Azure OpenAI, Microsoft Foundry) - You are new to AI/ML certifications (associate level is less intimidating) - You want a broader AI foundation (covers NLP, vision, speech, search, agents) - Your company has Microsoft Enterprise Agreement (free exam vouchers possible) ## When to Choose AWS ML Specialty Choose AWS ML Specialty if: - Your organization runs on AWS - You need deep ML knowledge (not just service selection) - You work with SageMaker daily - You want a specialty cert that stands out (300 USD exam signals seriousness) - You already hold AWS Cloud Practitioner or SAA-C03 #