Course 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., Big Data and Machine Learning in the Cloud, Introducing Google Cloud, Resources and Access in the Cloud, Virtual Machines and Networks in the Cloud, Storage in the Cloud, Containers in the Cloud, Applications in the Cloud, Prompt Engineering, Developing and Deploying in the Cloud, Logging and Monitoring in the Cloud, Course Review and Summary, Flexible environment, Developing, Deploying, and Monitoring in the Cloud, Introducing Google Cloud Platform, Getting Started with Google Cloud Platform
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