Google Certified Professional Machine Learning Engineer

Google Cloud Platform (GCP)
Machine Learning

Master the skills to design, implement, and manage cutting-edge machine learning solutions on Google Cloud. Unlock the power of ML for real-world impact.

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Our in-company training programs are fully customizable to meet your organization’s unique needs. Reach out to discuss how we can help your team grow.

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What will you learn?

This course equips you to become a Professional Machine Learning Engineer, giving you the expertise to design, build, and deploy machine learning solutions on Google Cloud.

You will gain a deep understanding of ML workflows, from data preparation to model deployment and monitoring. Learn how to implement scalable and reliable ML pipelines using Google Cloud’s powerful tools like Vertex AI, TensorFlow, and BigQuery ML.

Through hands-on labs and practical scenarios, you will also explore topics such as feature engineering, model optimization, and AI ethics. This training is tailored to prepare you for the Professional Machine Learning Engineer certification exam and help you excel in real-world ML projects. 

Key takeaways

  1. Design scalable and reliable ML pipelines 
  2. Master tools like Vertex AI and TensorFlow 
  3. Implement feature engineering and model optimization 
  4. Deploy and monitor production ML models 
  5. Explore AI ethics and responsible AI practices 

Program

  • Introduction to Machine Learning Concepts: Understand key ML concepts, workflows, and the role of a Machine Learning Engineer. 
  • Google Cloud ML Tools Overview: Explore Vertex AI, BigQuery ML, TensorFlow, and more to build end-to-end ML solutions. 
  • Data Preparation for Machine Learning: Learn to collect, clean, and preprocess data for ML applications using Google Cloud tools. 

Who is it for?

This training is ideal for machine learning engineers, data scientists, and software engineers looking to advance their skills in ML and AI. Whether you are experienced in ML or transitioning into the field, this course prepares you for real-world challenges and certification success.

Requirements

Strong foundation in machine learning, cloud computing, and Python programming 

Why should I do this training?

Hands-on

 Practice with labs and projects using Google Cloud tools.

Up-to-date

 Learn to implement cutting-edge ML solutions in real-world scenarios.

Certification Ready

 Be fully prepared to pass the Professional Machine Learning Engineer certification exam.

Exam and Certification

If you pass the exam, you will: 

  • Receive the Professional Machine Learning Engineer certificate. 
  • Become a lifelong member of the Google Cloud Certified community. 

What else
should I know?

After registering, you will receive a confirmation email with practical information.

See you soon!

Course information

Available remotely or in-person 

Hands-on labs and real-world exercises included

Certification exam voucher provided

Interactive Q&A sessions with trainers

Incompany Request

Empower your team with our tailored in-company training solutions. Customized to meet your organization’s specific needs, our experts will help your team master the skills they need to excel.

Use this form to request this course, and our sales team will get in touch with you as soon as possible to discuss your needs and customize the training for your organization.


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