Google Cloud Fundamentals: Core Infrastructure
Course 1464
1 DAY COURSE
Course Outline
This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
Google Cloud Fundamentals: Core Infrastructure Benefits
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In this course, you will:
- Identify the purpose and value of Google Cloud products and services.
- Define how infrastructure is organized and controlled in Google Cloud.
- Explain how to create basic infrastructure in Google Cloud.
- Select and use Google Cloud storage options.
- Describe the purpose and value of Google Kubernetes Engine.
- Identify the use cases for serverless Google Cloud services.
- Explore Google Clouds Generative AI tools and best practices
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Prerequisites
Familiarity with application development, systems operations, Linux operating systems, and data analytics or machine learning is helpful in understanding the technologies covered.
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Exam Information
None.
Google Cloud Fundamentals Course Outline
Learning Objectives
Module 1) Introducing Google Cloud
- Identify the benefits of Google Cloud.
- Define the components of the Google network infrastructure, including points of presence, data centers, regions, and zones.
- Identify the difference between infrastructure as a service (IaaS) and platform as a service (PaaS).
Module 2) Resources and Access in the Cloud
- Identify the purpose of projects on Google Cloud
- Define the purpose of and use cases for IAM.
- List interaction methods with Google Cloud.
- Use Cloud Marketplace to interact with Google Cloud.
Module 3) Virtual Machines and Networks in the Cloud
- Explore the basics of networking in Google Cloud.
- Identify the purpose of and use cases for Google Compute Engine.
- Outline how Compute Engine can scale.
- Detail important VPC compatibilities including routing tables, firewalls, and VPC peering.
- Explore how Cloud Load Balancing functions in Google Cloud.
- Deploy a basic infrastructure to Google Cloud
Module 4) Storage in the Cloud
- Identify the purpose of and use cases for Cloud Storage.
- Distinguish between Cloud Storage classes.
- Distinguish between Google Cloud's database storage options.
- Deploy an application that uses Cloud SQL and Cloud Storage
Module 5) Containers in the Cloud
- Define the concept of a container and identify uses for containers.
- Identify the purpose of and use cases for Kubernetes and Google Kubernetes Engine
Module 6) Applications in the Cloud
- Identify the purpose and use cases for Cloud Run
- Describe how Cloud Functions can support application development on Google Cloud.
- Deploy a containerized application on Cloud Run
Module 7) Prompt Engineering
- Define what generative AI is.
- Explain how large language models are trained.
- Detail the elements and types of a prompt.
- Explore recommended practices when constructing prompts.
Private Team Training
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