Machine Learning: Exam Preparation

Prepare for the AWS Certified Machine Learning – Specialty exam

This learning path is designed specifically for individuals preparing to take the AWS Certified Machine Learning – Specialty exam. In addition to these self-paced digital training courses, we recommend one or more years of hands-on experience using machine learning (ML) services on AWS.

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  • Machine Learning Exam Basics

    Explore the services for building, training, and deploying models at scale. Hear from Amazon’s own data scientists about how to consider ML business challenges and decisions.

    Digital | 2 hours

    Process Model: CRISP-DM on the AWS Stack

    Walk through the CRISP-DM methodology and framework and then apply the model's six phases to your daily work.

    Digital | 50 minutes

    The Elements of Data Science

    Learn to build and continuously improve machine learning models.

    Digital | 8 hours

    Storage Deep Dive Learning Path

    Progress from the fundamentals to technical deep dives to advance your AWS storage expertise and help your organization migrate to the cloud faster.

    Machine Learning Security

    This curriculum covers the AWS products and services that enable you to secure your applications and environments with specific topics detailing NACLs, security groups, AWS identity and access management, and encryption key management.

    Digital | 30 minutes

    Developing Machine Learning Applications

    Explore Amazon's fully managed ML platfrom, Amazon SageMaker.

    Digital | 2.5 hours

    Types of Machine Learning Solutions

    Review the three different disciplines for machine learning: computer vision, natural language processing, and chat bots. Go through practical applications and the AWS services used in each.

    Digital | 15 minutes

    AWS Certified Machine Learning - Specialty

    The AWS Certified Machine Learning - Specialty certification was created by AWS experts and validates in-demand skills required to build and tune data models. Differentiate yourself and your organization in this growing field.

    Exam | 170 minutes

  • Branching content areas

    Communicating with Chat Bots

    Learn how to build smart chat bots with the Communicating with Chat Bots curriculum.

    Digital | 3.5 hours

    Speaking of: Machine Translation and NLP

    These courses explore how machines interact with the human language. Review AWS services that help you with neural networks and natural language processing topics like automatic speech recognition, natural and fluent language translation, and insights and relationships in text.

    Digital | 80 minutes

    Seeing Clearly: Computer Vision Theory

    This curriculum explores how machines achieve understanding of images and videos.

    Digital | 2.5 hours

  • Optional training

    Big Data on AWS

    Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform.

    Classroom | 3 days