Google Cloud Professional Machine Learning Engineer Exam

Overview

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.

Sehen Sie sich jetzt die Preise an, um herauszufinden, wie viel Sie sparen können, wenn Sie doppelt so schnell trainieren.

Preise anfordern

Benefits

In einem Firebrand Intensiv-Training profitieren Sie von folgenden Vorteilen:

Zwei Optionen - Präsenz- oder Onlinetraining
Ablenkungsfreie Lernumgebung
Eigene Trainings- und Prüfungszentren (Pearson VUE Select Partner)
Effektives Training mit praktischen Übungseinheiten und intensiver Betreuung durch unsere Trainer
Umfassendes Leistungspaket mit allem, was Sie benötigen, um Ihre Zertifizierung zu erhalten, inklusive unserer Firebrand Leistungsgarantie.

Machen Sie einen kostenlosen Praxistest, um Ihr Wissen einzuschätzen!

Kostenloser Übungstest

Curriculum

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

Prerequisites

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.

Sind Sie sich unsicher, ob Sie die Voraussetzungen erfüllen? Wir besprechen gerne mit Ihnen Ihren technischen Hintergrund, Erfahrung und Qualifikation, um herauszufinden, ob dieser Intensivkurs der richtige für Sie ist.

Erfahrungsberichte

Bereits 134561 Kursteilnehmer haben seit 2001 erfolgreich einen Firebrand-Kurs absolviert. Unsere aktuellen Kundenbefragungen ergeben: Bei 96.41% unserer Teilnehmer wurde die Erwartungshaltung durch Firebrand übertroffen!

"Great teacher, highly recommended GCP instructor. Really enjoyed my week."
Neil Goodridge. (6.6.2023 (Dienstag) bis 9.6.2023 (Freitag))

"The instructor demonstrated a high level of professionalism throughout the training sessions, maintaining interactivity and providing valuable insights essential for exam preparation. Group discussions were effectively facilitated, with the trainer strategically assigning participants to groups, fostering fruitful discussions, and subsequently presenting key points to the entire team. The course, organized by Firebrand, exhibited a well-structured curriculum that logically unfolded over the two-day training period. This thoughtful arrangement contributed to a cohesive learning experience. Furthermore, the trainer cultivated a supportive atmosphere conducive to active participation, encouraging questions and fostering meaningful discussions among participants. This approach significantly enhanced the overall quality of the training sessions."
Ryan Lopes, Volkswagen. (11.1.2024 (Donnerstag) bis 12.1.2024 (Freitag))

"Stark komprimiertes Wissen, exzellent vermittelt mit freundlichem Service."
A. R. , NCR. (18.12.2023 (Montag) bis 21.12.2023 (Donnerstag))

"Dies war mein 4. Mal. Für mich ein optimales Konzept!"
n.n.. (18.12.2023 (Montag) bis 20.12.2023 (Mittwoch))

Kurstermine

Start	Ende	Verfügbarkeit	Standort
19.2.2024 (Montag)	20.2.2024 (Dienstag)	Kurs gelaufen - Hinterlasse Kommentar	-
24.6.2024 (Montag)	25.6.2024 (Dienstag)	Warteliste	Überregional
5.8.2024 (Montag)	6.8.2024 (Dienstag)	Einige Plätze frei	Überregional
16.9.2024 (Montag)	17.9.2024 (Dienstag)	Einige Plätze frei	Überregional
28.10.2024 (Montag)	29.10.2024 (Dienstag)	Einige Plätze frei	Überregional
9.12.2024 (Montag)	10.12.2024 (Dienstag)	Einige Plätze frei	Überregional

Google - Professional Machine Learning Engineer certification