AWS Certified Machine Learning – Specialty
Recommended Courses: Courses like Introduction to Machine Learning, Data Science and Management, Advanced Machine Learning
Skills Covered: Model Deployment, Data Engineering, Feature Engineering, Cloud ML Tools
Exam Format: 65 questions, 180 minutes, online proctored
Validity: 3 years
Official Website: https://aws.amazon.com/certification/certified-machine-learning-specialty/
Overview
Validates expertise in building, training, and deploying ML models on AWS — a must-have for data and ML professionals using cloud infrastructure.
Overview
The AWS Certified Machine Learning – Specialty certification demonstrates advanced knowledge in designing, building, and deploying ML models in the cloud using AWS services such as SageMaker and Lambda.
Recommended Background
Students who excel in:
- Introduction to Machine Learning (IML)
- Data Science and Management (DSM)
- Advanced Machine Learning
- Cloud Computing (if available)
will have the right mix of theory and applied skills for this exam.
Skills You’ll Gain
- Building scalable ML pipelines
- Automating model training and tuning
- Deploying models to production
- Monitoring and optimizing model performance
Exam Details
- Format: 65 questions (MCQ and multiple response)
- Duration: 180 minutes
- Mode: Online or in-person testing center
Fees and Validity
- Fee: $300 (~₹25,000)
- Validity: 3 years
Official Resources
Career Outlook
Common roles after this certification include:
- Machine Learning Engineer
- Data Scientist
- AI Solutions Architect
- Cloud ML Developer
Perfect for students combining data science + systems expertise.