The AWS Certified Machine Learning – Specialty exam validates a candidate’s ability to design, implement, deploy, and maintain machine learning (ML) or deep learning (DL) solutions for given business problems.
People with one to two years of experience developing, architecting, or running ML/DL workloads on the AWS cloud should join this workshop to learn how to prepare to successfully pass the exam.
The workshop explores the exam’s topic areas, shows how they relate to machine learning on AWS, and also maps them to machine learning and deep learning foundational areas for future self-study. It includes sample exam questions from each domain and discussions of concepts being tested to help test-takers better eliminate incorrect responses.
Topics in the course will address each of the exam’s four subject domains.
1. Data Engineering
2. Exploratory Data Analysis
4. Machine Learning Implementation and Operations
The course is for ML practitioners with at least one year of experience.
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems
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