Professional Machine Learning EngineerBeta

A Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer is proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation and needs familiarity with application development, infrastructure management, data engineering, and security.

The Professional Machine Learning EngineerBeta exam assesses your ability to:

  • Frame ML problems
  • Architect ML solutions
  • Prepare and process data
  • Develop ML models
  • Automate & orchestrate ML pipelines
  • Monitor, optimize, and maintain ML solutions

    This exam is available in English.

    About this certification beta exam

    Beta certification exams are newly developed assessments. We gather performance statistics on the questions and use these statistics to create the certification standards for the final exams. This exam objectively measures an individual's ability to demonstrate the critical job skills for the role. To earn this certification you must pass the Professional Machine Learning Engineer exam.

    Why beta?

    • Pass this exam to become Google Cloud Certified
    • Save 40% on the cost of certification
    • Prove early adoption by claiming a low certificate number if you pass
    • Get exclusive Google-branded apparel
    • Refer to our FAQs for more details

    Specifics about the beta

    • Length: 4 hours
    • Registration fee: $120 USD (discounted from retail price of $200 USD)
    • Language: English
    • Exam format: Multiple choice and multiple select.
    • Exam Delivery Method:
      1. Take the online-proctored exam from a remote location, review the online testing requirements.
      2. Take the onsite-proctored exam at a testing center, locate a test center near you.
    • Prerequisites: None

    Step 1: Get real world experience

      Before attempting the Machine Learning Engineer beta exam, it's recommended that you have 3+ years hands-on experience with Google Cloud products and solutions. Ready to start building? Explore the Google Cloud Free Tier for free usage (up to monthly limits) of select products.

      See Google Cloud Free Tier  

    Step 2: Understand what's on the exam

      The exam guide contains a complete list of topics that may be included on the exam. Review the exam guide to determine if your skills align with the topics on the exam.

      See exam guide  

    Step 3: Round out your skills with training

    Step 4: Schedule an exam