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.
- 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:
- 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.
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.
Step 3: Round out your skills with training
Explore self-based on demand courses offered via Coursera, Pluralsight, and Qwiklabs. Complete the recommended curriculum:
Broaden your knowledge with additional self-paced labs and quests:
Get extra practice with Google Cloud through self-paced exercises covering a single topic or theme offered via Qwiklabs.
Complete the recommended quests and labs:
Explore Google Cloud documentation for in-depth discussions on the concepts and critical components of Google Cloud.
Learn how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on Google Cloud with hands-on guide for developers entering the data science field: Data Science on Google Cloud Platform
Step 4: Schedule an exam
Register and select the option to take the exam remotely or at a nearby testing center.