Deployment in GCP from Coursera

Welcome to the Deployment in GCP Course!

This course is designed to provide you with comprehensive knowledge and practical skills for deploying applications and services on Google Cloud Platform (GCP). You will learn about the various deployment models, best practices, and tools available in GCP to effectively manage and scale your cloud-based solutions.

This course requires a basic understanding of cloud computing concepts and experience with GCP. Familiarity with fundamental networking, storage, and computing services in GCP is recommended.

By the end of this course, you will be able to:

- Understand the different deployment options available in GCP.

- Deploy applications using Google Kubernetes Engine (GKE), App Engine, and Compute Engine.

- Utilize Cloud Build for continuous integration and deployment.

- Implement Infrastructure as Code (IaC) using Deployment Manager and Terraform.

- Apply best practices for security, monitoring, and cost management in GCP.

- Troubleshoot common deployment issues and optimize your deployment strategies.

The course includes engaging videos, hands-on demos, and assessment to ensure a thorough understanding of GCP deployment practices.

What's inside

Syllabus

Google Cloud Storage (GCS) and Services

This module covers a comprehensive range of topics related to managing virtual machine instances. By the end, learners will gain practical skills in creating, configuring, and optimizing virtual machine instances and associated resources, enabling them to architect the Google Cloud Platform with a focus on efficiency and reliability.

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Provides thorough knowledge and practical skills for deploying applications and services on Google Cloud Platform (GCP)

Covers various deployment models, best practices, and tools available in GCP for effective management and scaling of cloud-based solutions

Helps learners gain experience in deploying applications using Google Kubernetes Engine (GKE), App Engine, and Compute Engine

Utilizes Cloud Build for continuous integration and deployment, ensuring efficient and automated deployment processes

Emphasizes Infrastructure as Code (IaC) using Deployment Manager and Terraform, enabling learners to define and manage infrastructure in a declarative and repeatable way

Requires a basic understanding of cloud computing concepts and experience with GCP, catering to learners with some prior knowledge in the field

Reviews summary

Foundational gcp deployment for professionals

According to inferred learner expectations, this course appears to offer a strong foundation and practical skills for deploying applications on Google Cloud Platform. Prospective students might value the promised hands-on demos and coverage of key services like Google Kubernetes Engine (GKE), Cloud Build for CI/CD, and Infrastructure as Code (IaC) with Deployment Manager and Terraform. However, some learners may find the prerequisites crucial, and there might be concerns regarding the depth of coverage for certain advanced topics, or potential content inconsistencies in the syllabus.

Covers essential tools for modern cloud deployment.

"I'm keen to learn how to deploy applications using Google Kubernetes Engine and App Engine."

"The inclusion of Cloud Build for CI/CD and Infrastructure as Code using Terraform is highly relevant to my work."

"The course seems to cover a comprehensive range of GCP deployment options, which is a big plus for me."

Aims to equip learners with immediately applicable skills.

"I would expect to gain practical skills for deploying and managing applications on GCP."

"The promise of hands-on demos for services like GKE and Cloud Build suggests a highly practical learning experience."

"I anticipate learning effective strategies for managing and scaling cloud-based solutions in a real-world context."

A module title contradicts its described content.

"I noticed a discrepancy where the 'Google Cloud Storage (GCS) and Services' module description focuses solely on virtual machines, which could be confusing."

"If the course material has this type of mismatch, I might question the overall accuracy and clarity of the content."

"I would expect consistency between module titles and their actual learning content."

Might prioritize breadth over deep dives in complex areas.

"I wonder if complex topics like advanced security or in-depth cost optimization will receive sufficient coverage."

"Given the wide range of tools covered, I might expect some topics to be introductory rather than exhaustive."

"I'm looking for detailed insights, and I hope the course doesn't just skim over important deployment best practices."

Prior GCP knowledge is essential for effective learning.

"I would strongly advise ensuring a basic understanding of cloud computing and GCP before starting this course."

"Without prior experience with GCP's core services, I might find the pace challenging."

"The course prerequisites feel quite important; I wouldn't recommend it to absolute beginners in GCP."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deployment in GCP with these activities:

Read 'Google Cloud: Deploy and Manage Your Applications in the Cloud'

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This activity introduces some foundational concepts of deployment and best practices to keep in mind when building applications in the cloud.

View Docker for Developers: Develop and run your... on Amazon

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Purchase the book.
Read the book.
Take notes while you read.

Review Deployment Manager Docs

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Guided tutorials by subject matter experts can fill in knowledge gaps and help you develop skills

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Locate Deployment Manager docs.
Review the Deployment Manager docs.

Build a Serverless Application with Cloud Functions

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Hands-on experience with projects cements abstract concepts and transforms them into clear, actionable knowledge.

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Define a simple serverless function.
Deploy your function to Cloud Functions
Test your deployed function

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Try out GKE Cloud Build

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Understanding concepts is one thing. Getting comfortable using the tools and implementing the information promotes proficiency

Browse courses on Cloud Build

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Spin up a new Kubernetes cluster
Configure Cloud Build to deploy to your cluster
Deploy a sample application

Create a CI/CD Pipeline

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CI/CD is an essential part of cloud development.

Browse courses on CI/CD Pipeline

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Configure a CI/CD pipeline using a tool like Jenkins or Travis CI.
Integrate your source code repository with the CI/CD pipeline.
Define a series of automated tasks to be performed as part of the pipeline.
Test your pipeline by making changes to your code and observing the results.

Deploy a multi-container app with Cloud Run

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Cloud Run is a managed service that makes it easy to deploy and manage containerized applications.

Browse courses on Cloud Run

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Create a multi-container Docker image
Deploy your image to Cloud Run
Test your deployed application

Build a Cloud Deployment Portfolio

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Building a portfolio of your work not only provides evidence of your skills, it also helps you identify areas where you can improve.

Browse courses on Cloud Deployment

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Gather your best cloud deployment projects.
Write up a brief description of each project.
Create a portfolio website or document.
Share your portfolio with potential employers or clients.

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Learners who complete Deployment in GCP will develop knowledge and skills that may be useful to these careers:

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Deployment in GCP

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What's inside

Syllabus

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Reviews summary

Foundational gcp deployment for professionals

Activities

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