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Read the guideComplete guide to AWS ML Specialty certification. Covers exam prep, study resources, costs, and career impact for ML engineers.
It's considered moderately difficult. The exam requires both ML theoretical knowledge and practical AWS experience. Those with hands-on SageMaker experience find it more manageable. Pass rates are estimated at 60-70% with proper preparation.
Month 1: Complete AWS digital training and understand ML fundamentals. Month 2: Deep dive into SageMaker and AWS ML services with hands-on labs. Month 3: Practice exams and weak area review. Take 2-3 full practice exams before the real thing.
Choose based on your cloud platform. AWS ML is better if your organization uses AWS. Google ML is more prestigious in the ML community. Both command similar salary premiums. AWS has a larger market share overall.
Exam fee is $300. Preparation courses range from free (AWS digital training) to $50-100 (Udemy/A Cloud Guru). Total investment is typically $300-$500 including preparation materials.
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