Google Cloud Professional Cloud Architect Cert Prep: 2 Managing and Provisioning a Solution Infrastructure

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Noah Gift

1:02:29

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1 Introduction

01 Overview.mp4

03:45

2 Configuring Network Topologies

02 Demo Exploring network topologies in GCP.mp4

03:33

03 Embracing hybrid networking in GCP.mp4

02:38

3 Configuring Individual Storage Systems

04 Overview of GCP storage.mp4

02:05

05 Demo Using the SDK and CLI to manage storage.mp4

09:13

06 Data lifecycle management.mp4

02:02

07 Data security.mp4

03:26

08 Demo Building Rust deduplication finder.mp4

08:57

4 Configuring Compute Systems

09 Compute volatility configuration Preemptible vs. standard.mp4

03:21

10 Demo Build and deploy Rust actix microservice cloud run.mp4

06:57

11 Container orchestration with GKE.mp4

04:32

12 Demo Extending Google Cloud Functions.mp4

10:06

5 Conclusion

13 Summary.mp4

01:54

Description

This course prepares individuals for the Professional Cloud Architect certification exam. A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual designs, develops, and manages robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

In this second course in the certification prep series, Noah Gift covers topics relating to managing and provisioning a solution infrastructure. He covers topics that help you configure network topologies, individual storage systems, and compute systems. Noah provides demos in each chapter as well, taking you through processes like exploring network topologies in GCP, using the SDK and CLI to manage storage, and ways to extend Google Cloud Functions.

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Cloud Computing

Google Cloud

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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