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Machine Learning Engineer

Advance your career with our Machine Learning Engineer track, which consists of two courses and is designed to help you pass Google’s Professional Machine Learning Engineer certification exam.

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As a Machine Learning Engineer, you’ll design, build and produce ML models to solve business challenges. You’ll use Google Cloud technologies, plus knowledge of proven ML models and techniques. You’ll become proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation

Discover the key to ML models, advance your career, and prepare for the Professional Machine Learning Engineer certification.

What the certification covers
  • Framing Machine Learning problems
  • Architecting ML solutions
  • Preparing and processing data
  • Developing ML models
  • Automating and orchestrating ML pipelines
  • Monitoring, optimising and maintaining ML solutions
Recommended experience
  • 3+ years’ industry experience
  • 1+ years using Google Cloud
Study for the Machine Learning Engineer Certification
Whether you’re looking to become Google-certified or not, our specialised Machine Learning Engineer learning track will equip you with the skills and ability to advance your career and become a qualified Machine Learning Engineer.

There are 2 courses in our Machine Learning Engineer track.
Choose any individual course, or all 2.

Google Cloud Fundamentals: Big Data & Machine Learning
1 day
Machine Learning on Google Cloud
5 day
£
3,090
ex VAT
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Prepare for Google Cloud Certification with Jellyfish
Jellyfish offer a range of Google Cloud courses, designed to help you or your business get certified. We can help:
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Individuals
Those looking to upgrade their Google Cloud skills in preparation for taking Google exams
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Organisations
Business leaders wanting to upskill their team members in cloud technologies
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Global brands
Companies looking for bespoke learning pathways for multiple teams across several regions
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For further information about the content we cover and how we can help your business with our GMP Digital Learning platform call us to discuss your requirements.
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The Machine Learning Engineer Certification exam

At Jellyfish, we facilitate the delivery of Google Cloud courses which provide the Cloud skills you need to pass Google’s certification exams.

Once you’ve completed the necessary learning, or are happy that you have the required knowledge, skills and experience, you’ll be ready to register for Google's Machine Learning Engineer exam.

Length: 2 hours

Registration fee: $200 (plus tax where applicable)

Languages: English.

Exam format: Multiple choice and multiple select, taken remotely or in-person at a test centre.

Exam Delivery Method:
a. Take the online-proctored exam from a remote location, review the online testing requirements.
b. Take the onsite-proctored exam at a testing centre.

Prerequisites: None

Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP.

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"On top of the achievement of certification, the process of learning for the Professional Cloud Architect exam forces you to evaluate your own knowledge and find solutions to real business scenarios and technical challenges you may not otherwise face.

Studying for Google Cloud certification promotes a ‘continuous learning’ mindset as well as providing evidence of your proficiency in real-world scenarios using Google Cloud infrastructure."

Guillermo Perasso
Google Cloud Authorised Trainer
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