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Machine Minds: AI for Everyone
Paul Kamau
10 episodes
5 days ago
Machine Minds: AI for Everyone is a podcast by Paul Kamau, focused on making AI & Machine learning accessible to everyone with topics on the latest industry ML trends, models and algorithms, tutorials, tech advice, and certifications. I’m a Technical Account Manager at Google with a specialty in AI/ML.  SOCIAL MEDIA Site: https://paulkamau.com Check out all my links (https://bio.link/paulkamau) Disclaimer: All views are my own and do not represent Google or its affiliates.
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All content for Machine Minds: AI for Everyone is the property of Paul Kamau and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Machine Minds: AI for Everyone is a podcast by Paul Kamau, focused on making AI & Machine learning accessible to everyone with topics on the latest industry ML trends, models and algorithms, tutorials, tech advice, and certifications. I’m a Technical Account Manager at Google with a specialty in AI/ML.  SOCIAL MEDIA Site: https://paulkamau.com Check out all my links (https://bio.link/paulkamau) Disclaimer: All views are my own and do not represent Google or its affiliates.
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Technology
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#03 Google Cloud Professional Cloud Architect (PCA) Guide
Machine Minds: AI for Everyone
21 minutes 39 seconds
9 months ago
#03 Google Cloud Professional Cloud Architect (PCA) Guide

Dive into the world of Google Cloud Platform (GCP) with this comprehensive audio overview. We'll explore key networking concepts like VPC, VPN, and Interconnect, detailing how to establish secure and high-throughput connections between your on-premises infrastructure and Google's cloud. Learn about different network topologies such as Meshed, Gated Egress, and Mirrored, and how they can be used to create effective architectures.

We'll also delve into essential GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, and various database solutions like Cloud Datastore, BigQuery, and Cloud SQL. Discover how to use these services for building scalable applications, performing real-time analytics, and managing data. Learn how to leverage Cloud Dataflow and Pub/Sub for streaming analytics, and how to set up a continuous delivery pipeline using Google Container Registry and Kubernetes.

The episode also covers crucial operational topics. Understand the significance of Recovery Time Objective (RTO) and Recovery Point Objective (RPO) and their impact on system reliability. Learn how to use Stackdriver (Cloud Operations Suite) for monitoring, logging, and debugging your applications. We’ll also explain how to set up alerts and dashboards to monitor key performance indicators.

We’ll then cover aspects of data management including the importance of partitioning and clustering data to reduce query costs when using BigQuery, and different storage options including Cloud Storage, Persistent Disk, and Local SSD. Explore how to use Storage Transfer Service to move data between different storage locations and providers. We will also cover the use of Cloud Composer for workflow orchestration.

Finally, we'll discuss security features, such as VPC Service Controls and Cloud Armor, and IAM roles. The podcast also includes useful tips for controlling costs on GCP and managing your projects.

This podcast provides essential knowledge for anyone looking to understand and utilize the power of Google Cloud. Whether you're a cloud architect, developer, or just starting your cloud journey, this overview will provide a solid foundation.

Machine Minds: AI for Everyone
Machine Minds: AI for Everyone is a podcast by Paul Kamau, focused on making AI & Machine learning accessible to everyone with topics on the latest industry ML trends, models and algorithms, tutorials, tech advice, and certifications. I’m a Technical Account Manager at Google with a specialty in AI/ML.  SOCIAL MEDIA Site: https://paulkamau.com Check out all my links (https://bio.link/paulkamau) Disclaimer: All views are my own and do not represent Google or its affiliates.