Event Details

In this advanced-level virtual event, prepare for the AWS Certified Machine Learning - Specialty exam by exploring its topic areas and how they map architecting on AWS. This exam validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.

You’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains:

  • Data Engineering
  • Exploratory Data Analysis
  • Modeling
  • Machine Learning Implementation and Operations

You’ll also learn key test-taking strategies and how to put them into action.



Actionable takeaways

In this course, you will learn:

  • Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
  • Describe the technical topics and concepts that make up each of the exam domains
  • Summarize the logistics and mechanics of the exam and its questions
  • Use effective strategies for studying and taking the exam


Who should attend?

Machine Learning practitioners who have at least one year of practical experience and who are preparing to take the AWS Certified Machine Learning – Specialty exam. Learners should also have:

  • Proficiency expressing the intuition behind basic Machine Learning algorithms and performing basic hyperparameter optimization
  • An understanding of the Machine Learning pipeline and its components
  • Experience with Machine Learning and deep learning frameworks
  • Understanding of and experience in model training, deployment, and operational best practices

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Webinar 1:

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December 10th, 2018 | 11:00 AM PT

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Webinar 2:

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December 12th, 2018 | 11:00 AM PT

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