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AWS - Machine Learning Engineer

Associate validates technical ability in implementing ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles. We offer this as a 2 day virtual classroom delivered by our expert AWS certified trainers, which includes access to lab environments, mock and certification exam licences and will prepare you to pass the exam.

Who should take the exam

The ideal candidate for this exam has at least 1 year of experience in machine learning engineering or a related field and 1 year of hands-on experience with AWS services. 

Will it help my career

Per the World Economic Forum Future of Jobs Report 2023, demand for AI and Machine Learning Specialists is expected to grow by 40%. However, 70% of North American IT leaders say they have the greatest difficulty filling AI/ML specialist roles. This certification can position you for in-demand machine learning jobs in AWS Cloud.

Industry Recognised Certification

As organizations rapidly transition their business operations to the cloud, professionals with the necessary training and skills are in high demand. Certifications continue to be the primary tool used to validate cloud skills and one of the many used to help close skills gaps. The 2020 Global Knowledge IT Skills and Salary Report revealed again this year that IT professionals and organizations alike recognize the value of AWS Certifications. 

Exam & Certification validity

The exam is 130 minutes and you will answer 65 multiple choice/ multiple response questions. This certification is valid for 3 years.

Labs

We believe in giving you opportunities to apply what you have been learning and create safe environments for you in the form of Labs. The labs for your AWS course will be delivered through AWS Builder labs. Please be aware that in order to access your materials and Labs it is important that your device and network should not restrict access to AWS or Vitalsource content. For that reason, AWS recommend NOT using a Corporate laptop with any security restrictions in place or the use of a VPN.

Pre requisites

The target candidate should have at least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering. The target candidate also should have at least 1 year of experience in a related role such as a backend software developer, DevOps developer, data engineer, or data scientist.


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Please contact us to explore the Team training and certification opportunities we offer and the pricing structure.

Course Curriculum