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This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn about the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.

Who should attend:

- Individuals planning to deploy applications and create application environments on Google Cloud
- Developers, systems operations professionals, and solution architects getting started with Google Cloud
- Executives and business decision makers evaluating the potential of Google Cloud to address their business needs

Certifications:
This course is part of the following Certifications:

- Google Cloud Certified Professional Cloud Architect
- Google Cloud Certified Professional Cloud Network Engineer
- Google Cloud Certified Professional Cloud Developer
- Google Cloud Certified Professional Cloud Security Engineer
- Google Cloud Certified Professional Cloud DevOps Engineer
- Google Cloud Certified Associate Cloud Engineer

Google Cloud Fundamentals: Core Infrastructure (GCF-CI) Objectives

  • 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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Key Point of Training Programs

  • Google Cloud Fundamentals: Core Infrastructure (GCF-CI) Outline

    Module 01: Introducing Google Cloud

    Topics:

    - Cloud computing overview
    - IaaS and PaaS
    - The Google Cloud network
    - Environmental impact
    - Security
    - Open-source ecosystems
    - Pricing and billing

    Objectives:

    - Identify the benefits of Google Cloud.
    - Define the components of 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 02: Resources and Access in the Cloud

    Topics:

    - Google Cloud resource hierarchy
    - IAM
    - IAM roles
    - Service accounts
    - Cloud Identity
    - Interacting with Google Cloud

    Objectives:

    - Identify the purpose of projects on Google Cloud.
    - Define the purpose of and use cases for IAM.
    - List the methods of interaction with Google Cloud.
    - Use Cloud Marketplace to interact with Google Cloud.

    Activities:

    Lab: Getting Started with Cloud Marketplace
    - Quiz: Module quiz

    Module 03: Virtual Machines and Networks in the Cloud

    Topics:

    - Virtual Private Cloud networking
    - Compute Engine
    - Scaling virtual machines
    - Important VPC compatibilities
    - Cloud Load Balancing
    - Cloud DNS and Cloud CDN
    - Connecting networks to Google VPC

    Objectives:

    - Explore the basics of networking in Google Cloud.
    - Identify the purpose of and use cases for Compute Engine.
    - Outline how Google 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.

    Activities:

    Lab: Getting Started with VPC Networking and Google Compute Engine
    - Quiz: Module quiz

    Module 04: Storage in the Cloud

    Topics:

    - Cloud Storage
    - Cloud SQL
    - Cloud Spanner
    - Firestore
    - Cloud Bigtable
    - Comparing storage options

    Objectives

    - 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.

    Activities:

    Lab: Getting Started with Cloud Storage and Cloud SQL
    - Quiz: Module quiz

    Module 05: Containers in the Cloud

    Topics:

    - Introduction to containers
    - Kubernetes
    - Google Kubernetes Engine

    Objectives

    - Define the concept of a container and identify uses for containers.
    - Identify the purpose of and use cases for Kubernetes and Google - Kubernetes Engine.

    Activities:

    Quiz: Module quiz

    Module 06: Applications in the Cloud

    Topics:

    - Cloud Run
    - Cloud Functions

    Objectives

    - 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.

    Activities:

    Lab: Hello Cloud Run
    - Quiz: Module quiz

    Module 07: Prompt Engineering

    Topics:

    - Introduction to generative AI
    - Introduction to large language models
    - Prompt engineering and recommended practices

    Objectives:

    - 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

    Activities:

    - Quiz: Module quiz

    Module 08: Course Summary

    Topics:

    - The course summary recaps the major concepts learners were introduced to during the course.

    Objectives:
    - Summarize the content covered in each section of the course.

  • Google Cloud Fundamentals: Core Infrastructure (GCF-CI) Course Format

    Live Virtual Course

  • Google Cloud Fundamentals: Core Infrastructure (GCF-CI) 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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