Course Overview:
This learning path is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam. Even if you don’t plan to take the exam, these courses will help you gain a solid understanding of how to implement machine learning on Google Cloud Platform. Candidates who pass the exam will earn the Google Professional Machine Learning Engineer certification.The Professional Machine Learning Engineer exam tests your knowledge of six subject areas.
Target Audience:
- Data professionals
- People studying for the Google Professional Machine Learning Engineer exam
Pre-requisites:
- Basic understanding of cloud concepts
- Experience writing Python code
Course Duration:
- 2 Days ( 14 hours )
Course Content:
- Overview of Google Cloud Platform
- Getting Started with Deep Learning: Introduction To Machine Learning
- Introduction to Google AI Platform
- Building Convolutional Neural Networks on Google Cloud
- Getting Started With Deep Learning: Recurrent Neural Networks
- Getting Started With Deep Learning: Improving Performance
- Inspecting and De-Identifying Data With Google Cloud Data Loss Prevention
- Introduction to Google BigQuery
- Structure and Analyze Data with Google BigQuery
- Drawing Insights with BigQuery ML
- Visualizing Trends from Order History with Google Data Studio
- Introduction to Google Cloud Dataflow
- Preview Exam: Google Professional Machine Learning Engineer
- Recommended Reading for Google Professional Machine Learning Engineer Exam
