Google - Cloud Professional Machine Learning Engineer



Just 2 Days



Classroom / Online / Hybrid

Next date

Next date:

26/9/2022 (Monday)


On this accelerated Google Cloud Professional Machine Learning Engineer course, you’ll learn how to design, build, and implement the production of ML models to solve your business' challenges using Google Cloud technologies and knowledge of proven ML models and techniques.

In just 2 days, you’ll build knowledge on all aspects of model architecture, data pipeline, interaction, and metric interpretations. You’ll also learn about:

  • Infrastructure management, data engineering and security
  • Determination of when a model is deemed unsuccessful
  • Data leakage and augmentation

At the end of the course, you’ll sit the Google Cloud Professional Machine Learning Engineer exam, and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware and certified instructors, and train in a distraction-free environment.

Four reasons why you should sit your course with Firebrand Training

  1. You'll be trained and certified faster. Learn more on this 2-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 124.229 students saving more than one million hours since 2001


Section 1: ML Problem Framing

  • Module 1: Translate business challenge into ML use case
  • Module 2: Define ML problem
  • Module 3: Define business success criteria
  • Module 4: Identify risks to feasibility and implementation of ML solution

Section 2: ML Solution Architecture

  • Module 1: Design reliable, scalable, highly available ML solutions
  • Module 2: Choose appropriate Google Cloud software components
  • Module 3: Choose appropriate Google Cloud hardware components
  • Module 4: Design architecture that complies with regulatory and security concerns

Section 3: Data Preparation and Processing

  • Module 1: Data ingestion
  • Module 2: Data exploration (EDA)
  • Module 3: Design data pipelines
  • Module 4: Build data pipelines
  • Module 5: Feature engineering

Section 4: ML Model Development

  • Module 1: Build a model
  • Module 2: Train a model
  • Module 3: Test a model
  • Module 4: Scale model training and serving

Section 5: ML Pipeline Automation & Orchestration

  • Module 1: Design pipeline
  • Module 2: Implement training pipeline
  • Module 3: Implement serving pipeline
  • Module 4: Track and audit metadata
  • Module 5: Use CI/CD to test and deploy models

Section 6: ML Solution Monitoring, Optimization, and Maintenance

  • Module 1: Monitor ML solutions
  • Module 2: Troubleshoot ML solutions
  • Module 3: Tune performance of ML solutions for training & serving in production

Exam Track

As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

Google Cloud Professional Machine Learning Engineer exam

  • Duration: 2 hours
  • Languages: English
  • Exam format: Multiple-choice and multiple-select

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free (just pay for accommodation, exams and incidental costs)


There are no formal prerequisites for attending this accelerated course, however Google Cloud recommend you have a minimum of 3 years' experience with Google Cloud products and solutions.

Are you ready to get certified in record time?

We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

If you have any doubts as to whether you meet the pre-requisites please call 09 - 42 419 397 and speak to one of our enrolment consultants, who can help you with a training plan.


We've currently trained 124.229 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
96,62% have said Firebrand exceeded their expectations:

"Knowledgeable instructor with lots of experience, using real world examples to make it relatable and focused."
Caroline Yardley. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun. Highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun, highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"The instructor did a good work in delivering the material. Very helpful and willing to go the extra mile to support the students."
KB. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

"It is was proper challenge, but the instructor provided the content with a flamboyant and upbeat style and despite the sometimes try nature of the material, the instructor was able to keep us all well engaged. Probably the best trainer I have had."
Michael Ross, NHS England. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

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