Google Associate Cloud Engineer: Planning and Configuring a Cloud Solution

Choosing optimal Google Cloud compute, storage, and networking solutions is essential for efficient cloud design. This course will teach you to plan, configure, and optimize cloud infrastructure for performance, reliability, and cost efficiency.

What you'll learn

Organizations adopting Google Cloud often struggle to choose appropriate infrastructure, storage, and network configurations to optimize performance, reliability, and cost. In this course, Google Associate Cloud Engineer: Planning and Configuring a Cloud Solution, you’ll learn to select and configure Google Cloud resources effectively to support diverse workloads and optimize performance, scalability, and cost efficiency.

First, you’ll explore how to choose the right compute options, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and Cloud Functions, tailored to your specific workload requirements. Next, you’ll discover strategies for optimizing compute resources through Spot VM instances and custom machine types to enhance flexibility and cost savings. Then, you’ll investigate data storage options, determining when and how to leverage Cloud SQL, BigQuery, Firestore, Cloud Spanner, and Bigtable, along with selecting appropriate persistent disk and cloud storage tiers. Finally, you’ll learn how to plan and configure network resources effectively, including implementing load balancing, selecting optimal resource locations, and understanding Google Cloud’s Network Service Tiers to optimize performance and availability.

When you're finished with this course, you'll have the skills and knowledge of Google Cloud planning and configuration needed to successfully tackle the Planning and Configuring a Cloud Solution domain on the Google Cloud Associate Cloud Engineer exam.