MLS-C01 – AWS Certified Machine Learning
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Your Journey to Passing the AWS Certified Machine Learning – Specialty
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What You Should Know Before Studying for the AWS Certified Machine Learning
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What is the AWS Certified Machine Learning Exam Focused On?
The AWS Certified Machine Learning – Specialty covers a broad range of topics. AWS tests randomly on various subjects, so comprehensive knowledge of the content is crucial. Be aware that experience requirements often exist based on the average candidate’s background. You can overcome these challenges with extra effort.
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The next page is full of practice questions, challenging material, and opportunities to sharpen your skills. It’s okay to feel overwhelmed—everyone does at some point. This next step is about pushing through that fear and tackling the AWS Certified Machine Learning – Specialty exam. If you get stuck, reach out. If you see others struggling, lend a hand. And always remember, work smarter, not harder!
AWS Certified Machine Learning - Specialty is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud. Before you take this exam, we recommend you have:
- At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud
- Ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- Ability to follow model-training, deployment, and operational best practices
To earn this certification, you’ll need to take and pass the AWS Certified Machine Learning - Specialty exam (MLS-C01). The exam features a combination of two question formats: multiple choice and multiple response. Additional information, such as the exam content outline and passing score, is in the exam guide.