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Google Cloud Professional Cloud Architect Cert Prep: 4 Analyzing and Optimizing Technical and Business Processes

Google Cloud Professional Cloud Architect Cert Prep: 4 Analyzing and Optimizing Technical and Business Processes

50mAdvanced2023-05-12

Authors

Noah Gift

Noah Gift

MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO

Course details

This course prepares you for the Professional Cloud Architect certification exam. A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. In this fourth course in the series, Noah Gift covers analyzing and optimizing technical and business processes. Noah shows you how to analyze and define technical processes, including continuous delivery, continuous integration, and troubleshooting techniques, and shares his three most important files in a Python project. He then looks at business processes, showing you how to use Trello for effective project management, explore the MLOps maturity model, and build bespoke systems for core business functions. Finally, Noah explains how to develop procedures to ensure the reliability of solutions in production.

Skills covered

Google CloudBusiness AnalysisOperations ManagementBusiness IntelligenceSoftware Development ToolsGoogleProject ManagementCloud PlatformsCert PrepCloud ComputingData ScienceBusiness Analysis and StrategySoftware Development

Concepts

0. Introduction

  • 01 - Overview

1. Analyzing and Defining Technical Processes

  • 02 - Continuous delivery - An introduction
  • 03 - Hands-on with continuous integration in GCP
  • 04 - Troubleshooting techniques - The five whys
  • 05 - Implementing simple GitHub actions for CI CD
  • 06 - The three most important files in a Python project

2. Analyzing and Defining Business Processes

  • 07 - Utilizing Trello for effective project management
  • 08 - Leveraging spreadsheets for project management
  • 09 - Exploring the MLOps maturity model
  • 10 - Building bespoke systems for core business functions
  • 11 - Data science on windows - virtualenv and pip

3. Developing Procedures to Ensure the Reliability of Solutions in Production

  • 12 - Site reliability engineering (SRE) in GCP
  • 13 - Demo - Performing load testing in GCP

Conclusion

  • 14 - Course wrap-up and next steps in GCP mastery

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