AWS Certified Machine Learning – Specialty

This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Machine Learning – Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

Who should take this exam?

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

Prerequisites

To earn this certification, you’ll need to take and pass the AWS Certified Machine Learning – Specialty exam. 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.

Recommended training for this certification

Data Scientist

Developer

Optional:

  • Math for Machine Learning (elearning)
  • Linear and Logistic Regression (elearning)
  • Speaking Of : Machine Translation and NLP (elearning)
  • Seeing Clearly: Computer Vision Theory (elearning)

Exams

AWS Certified Machine Learning – Specialty exam

Recertification

AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.

Recertification for the Specialty certification

Take the Current Specialty exam

You can take the current Specialty exam for the certification you already have. For example, if you are an AWS Certified Security – Specialist, you can retake the current AWS Certified Security – Specialty exam to recertify. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to recertify or apply it to any future certification exam you wish to pursue.

Die nächsten Termine für: AWS Certified Machine Learning – Specialty

DatumKursPreis pro TN
22.05.2023 - 25.05.2023 The Machine Learning Pipeline on AWS
Online in - Virtual Classroom		2.795,00 € zzgl. MwSt.Buchen
22.05.2023 - 25.05.2023 The Machine Learning Pipeline on AWS
Stolberger Str. 309 in 50933 Köln		2.795,00 € zzgl. MwSt.Buchen
22.05.2023 - 25.05.2023 The Machine Learning Pipeline on AWS
Online in - Virtual Classroom		2.795,00 € zzgl. MwSt.Buchen
22.05.2023 - 25.05.2023 The Machine Learning Pipeline on AWS
Online in - Virtual Classroom		3.700,00 € zzgl. MwSt.Buchen
14.08.2023 - 17.08.2023 The Machine Learning Pipeline on AWS
Online in - Virtual Classroom		2.795,00 € zzgl. MwSt.Buchen
20.11.2023 - 23.11.2023 The Machine Learning Pipeline on AWS
Online in - Virtual Classroom		2.795,00 € zzgl. MwSt.Buchen
20.11.2023 - 23.11.2023 The Machine Learning Pipeline on AWS
Vahrenwalder Straße 156 in 30165 Hannover		2.795,00 € zzgl. MwSt.Buchen

Kontakt

0800 5909500 - DE (frei)

  • +43 720 34 36 11 (AT)

  • +41 415 41 16 60 (CH)

  • +49 511 590 95950 (International)

Standorte

Duisburg
Bismarckstraße 142
47057 Duisburg
Frankfurt am Main
Hamburger Allee 45
60486 Frankfurt am Main
Hamburg
Ballindamm 7
20095 Hamburg
Hannover
Vahrenwalder Str. 156
30165 Hannover
München
c/o Unicorn Workspaces
Rosenheimer Strasse 116
81669 München
Lissabon (PT)
Armazém 114
Rocha Conde d’Óbidos
1350-352 Lisboa
Portugal
Luzern (CH)
Hirschengraben 33
6003 Luzern
Switzerland
Wien (AT)
Ungargasse 37
1030 Wien
Austria

Links & Infos

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