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Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

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Total Duration
8 Months
Bundle Price
₹10,972

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 …

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Courses in this Learning Path
1
Google Cloud Big Data and Machine Learning Fundamentals
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Duration : 12 hours
Level :Intermediate
Learn Type :Certification
Google Cloud Big Data and Machine Learning Fundamentals

Participants will be introduced to Google Cloud's big-data capabilities in this course. Through a combination of demonstrations and hands-on labs, participants will get a broad overview of Google Cloud and a more in-depth look at data processing capabilities and machine intelligence capabilities. This course shows the power, flexibility, and ease that big data solutions can provide on Google …

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2
How Google does Machine Learning
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Duration : 3.37 hours
Price :₹1,499
Level :Beginner
Learn Type :Certification
How Google does Machine Learning

What is machine learning and what problems can it solve? Google views machine learning differently. It is more about logic than data. This framing can be useful in building a machine learning pipeline. Next, we will discuss the five phases involved in converting a candidate use-case to machine learning. We also consider the importance of not skipping any of these phases. The final part of this …

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3
Launching into Machine Learning
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Duration : 3.3 hours
Price :₹1,499
Level :Beginner
Learn Type :Certification
Launching into Machine Learning

We start with a brief history of machine learning and then discuss the reasons neural networks perform well in many different situations. Next, we will discuss how to set-up a supervised learning problem using gradient descent. We discuss how to create datasets that allow generalization.

4
Introduction to TensorFlow
Whizlabs Course via Whizlabs
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Duration : 3 hours
Price :₹699
₹2,200
Level :Beginner
Learn Type :Certification
Introduction to TensorFlow

The "Introduction to TensorFlow course is intended to provide a foundation in TensorFlow. Learn the basics of AI and ML. Perceptron, Neural network implementations in TensorFlow 2.0.

5
Feature Engineering by Coursera
Coursera Course via Coursera
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Duration : 18 hours
Level :Intermediate
Learn Type :Certification
Feature Engineering by Coursera

How can you improve the accuracy of your ML models How can you determine which columns contain the most useful features? We are pleased to welcome you to Feature Engineering. Here we will discuss the good and bad features as well as how to preprocess and transform them so that they can be used in your models.

6
Art and Science of Machine Learning
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Duration : 19 hours
Level :Advanced
Learn Type :Certification
Art and Science of Machine Learning

This course demonstrates a real-world, practical approach to ML workflow. This course includes a case study of an ML team faced with multiple ML business needs. This team will need knowledge about the tools required for data management and governance as well as the best method to preprocess data. BigQuery can be used to preprocess data.

Three options are available to the team for creating …

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7
Production Machine Learning Systems
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Duration : 3.67 hours
Price :₹1,499
Level :Advanced
Learn Type :Certification
Production Machine Learning Systems

This course will cover the components and best practices for a highly-performing ML system in production environments.

8
MLOps (Machine Learning Operations) Fundamentals
Coursera Course via Coursera
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Duration : 16 hours
Level :Intermediate
Learn Type :Certification
MLOps (Machine Learning Operations) Fundamentals

This course introduces participants the MLOps tools, best practices, and MLOps methods for deploying, evaluating and monitoring production ML systems on Google Cloud. MLOps refers to the testing, monitoring and automation of ML systems in manufacturing. Machine Learning Engineering professionals employ tools to continuously improve and evaluate the models they have deployed. They can work with …

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9
ML Pipelines on Google Cloud by Coursera
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Duration : 11 hours
Level :Advanced
Learn Type :Certification
ML Pipelines on Google Cloud by Coursera

This course will teach you from ML Engineers and Trainers, who are involved in the development of ML pipelines at Google Cloud. TensorFlow Extended (or TFX) will be the first module. This is Google's machine learning platform that uses TensorFlow to manage ML pipelines and metadata. Learn about pipeline components and how to orchestrate your pipeline with TFX. Learn how to automate your …

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