Course Summary
Credit Type:
Organization's ID:
4 months (77 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Cloud Computing Architecture
Upper-Division Baccalaureate 3 Advanced Cloud Solutions Architecture


The course objective is to master cloud fundamentals; develop practical cloud skills; implement data solutions; automate and scale cloud infrastructure; and containerize and orchestrate applications.

Learning Outcomes:

  • Access Google Cloud and use basic Google Cloud features: Projects, Resources, IAM users, Roles, Permissions and APIs
  • Define Google Core Infrastructure
  • Explain and use Google Cloud Compute Engine
  • Interact with Google Cloud Services
  • Describe the scope of successful cloud operations, including managing compute, storage, and networking resources, as well as monitoring and logging tasks
  • Use core Google Cloud storage products: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore
  • Use Google Cloud methods for development in the cloud, including Cloud Source Repositories, Cloud Functions, and Terraform
  • Use Google Cloud Infrastructure core services to manage Google Cloud solutions
  • Use scaling and automation tools with the elastic Google Cloud infrastructure
  • Use Google Kubernetes Engine and related cloud services
  • Administer Identity and Access Management (IAM) for resources
  • Create and manage Google Kubernetes Engine clusters using the Google Cloud console and gcloud/kubectl commands
  • Connect infrastructure to Google Cloud
  • Create virtual machines using compute engine
  • Create VPC networks and other networking objects

General Topics:

  • Course 1. Preparing for the Associate Cloud Engineer Journey
  • Course 2. Google Cloud Fundamentals: Core Infrastructure
  • Course 3. Essential Google Cloud Infrastructure: Foundation
  • Course 4. Essential Google Cloud Infrastructure: Core Services
  • Course 5. Elastic Google Cloud Infrastructure: Scaling and Automation
  • Course 6. Getting Started with Google Kubernetes Engine
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Computer Based Training
  • Practical Exercises
  • Performance Rubrics (Checklists)

Methods of Assessment:

  • Quizzes

Minimum Passing Score:

Supplemental Materials