<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ml-Ops on Yoke Keong</title><link>https://yokekeong.com/blog/ml-ops/</link><description>Recent content in Ml-Ops on Yoke Keong</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 21 Nov 2020 14:24:12 +0000</lastBuildDate><atom:link href="https://yokekeong.com/blog/ml-ops/index.xml" rel="self" type="application/rss+xml"/><item><title>Resources for the Google Cloud Professional Machine Learning Engineer Certification</title><link>https://yokekeong.com/resources-for-the-google-cloud-professional-machine-learning-engineer-certification/</link><pubDate>Sat, 21 Nov 2020 14:24:12 +0000</pubDate><guid>https://yokekeong.com/resources-for-the-google-cloud-professional-machine-learning-engineer-certification/</guid><description>&lt;p&gt;Recently I passed the &lt;a href="https://www.credential.net/62dd7f0d-d6b3-4e21-b86e-c9fde9e3a91d"&gt;Google Cloud Professional ML Engineer&lt;/a&gt; Certification Exam and received a few queries on how to prepare for the exam. Hence I am writing up a post to share some free/low-cost training offers and resources that have helped me pass the exam.&lt;/p&gt;&#10;&lt;p&gt;One thing to note is that I have previously completed the &lt;a href="https://www.credential.net/785d9923-f2a3-401b-9c17-b7ed4b916143"&gt;Google Cloud Professional Data Engineer&lt;/a&gt; Certification and have some prior experience with using Google Cloud Platform and TensorFlow/Keras before attempting this certification exam. I shall suggest some resources for learning the portions related to Data Engineering and TensorFlow if you are not familiar with them.&lt;/p&gt;</description></item></channel></rss>