Machine Learning Engineer Professional Certificate

Description

Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate is a training course for machine learning and Google cloud platform published by Coursera Academy. This training course is one of the most popular and effective courses published in the field of the Google cloud platform, and more than 87% of the students of this training course have a noticeable improvement in their skills and self-confidence level after completing this course. have experienced in the work environment. This training course is completely project-oriented and practical and will expose the student to a series of exercises and ready-made projects in the Qwiklabs environment.

What you will learn in the course Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate:

Roles and Duties of Machine Learning Engineers
Basic principles of machine learning
Google’s cloud platform and its various applications in the field of machine learning
Design and build machine learning models
Solving various business problems and challenges using machine learning
Feature engineering or feature extraction or feature discovery
TensorFlow machine learning and artificial intelligence library
cloud computing
Bigquery
Data cleanup
Python programming language
And …

Course details

Publisher: Coursera
teacher: Google Cloud Training
English language
Provider institution/university: Google Cloud
Education level: Intermediate
Number of courses: 9
Duration of training: assuming 5 hours of work per week, about 7 months

Courses available in the series Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

Course 1

Google Cloud Big Data and Machine Learning Fundamentals

Course 2

How Google does Machine Learning

Course 3

Launching into Machine Learning

Course 4

TensorFlow on Google Cloud

Course 5

Feature Engineering

Course 6

Machine Learning in the Enterprise

Course 7

Production Machine Learning Systems

Course 8

MLOps (Machine Learning Operations) Fundamentals

Course 9

ML Pipelines on Google Cloud

Course prerequisites

To get the most out of this course, we recommend participants have data engineering or programming experience and are interested in learning how to apply machine learning in practice.