Preparing for Google Cloud Certification: Machine Learning Engineer

Overview

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.

Here's what you have to do:

1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate 2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer exam 3) Review the Professional Machine Learning Engineer exam guide 4) Complete Professional Machine Learning Engineer sample questions 5) Register for the Google Cloud certification exam (remotely or at a test center) Applied Learning Project This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs.

You will gain practical hands-on experience with the concepts explained throughout the modules.

Syllabus

• Introduction to Google Cloud and Certification Overview
Understanding the Google Cloud ecosystem
Overview of the Professional Machine Learning Engineer certification exam
• Essential Cloud Concepts for Machine Learning Engineers
Cloud Computing Basics
Introduction to Google Cloud Platform (GCP)
• Machine Learning on Google Cloud Platform
Overview of GCP Machine Learning Products
Setting up your GCP environment for ML projects
Data preparation and analysis in GCP
• Designing and Developing Machine Learning Models
Exploring TensorFlow and Keras on GCP
Building Machine Learning pipelines with TFX
Model training and tuning on GCP
• Deploying and Managing Machine Learning Models
Model deployment with AI Platform
Monitoring and managing deployed models
Implementing MLOps on Google Cloud
• Advanced Machine Learning Techniques
Introduction to AutoML
Advanced TensorFlow techniques
Understanding model interpretability
• Applied Learning Project
Hands-on labs with Qwiklabs
End-to-end ML project: From data ingress to model deployment
• Exam Preparation Strategies
Reviewing the Professional Machine Learning Engineer exam guide
Completing sample exam questions
Additional recommended resources and study materials
• Certification Exam Process
Registering for the Google Cloud certification exam
Exam-day tips and best practices
• Conclusion and Next Steps
Understanding your certification pathway
Exploring career opportunities with Google Cloud certification

Taught by

Google Cloud Training

Subjects

Programming