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Cloud computing · Courses

Google Cloud: from discovery to expertise

Google Cloud course: regions, organisation and projects, IAM and service accounts, global VPC, compute (Compute Engine, GKE, Cloud Run), Cloud Storage, databases (Cloud SQL, Spanner, Firestore, BigQuery), observability, security, Terraform and costs, hands-on labs on local emulators and preparation for the Cloud Digital Leader and Associate Cloud Engineer certifications.

10 chapters16 lessonsEN
At your pace, through practice.

By the end of this course you will be able to

  • Understand the Google Cloud hierarchy and billing
  • Manage access with IAM and keyless service accounts
  • Design a secure global VPC network
  • Choose compute, storage and databases
  • Operate: observability, security, infrastructure as code, costs
  • Prepare for the Cloud Digital Leader and Associate Cloud Engineer certifications

🎯 Level : Intermediate👥 Who it is for : Developers, DevOps, cloud and data engineers who want to design and run applications on Google Cloud

LEARNING PATH

Course curriculum

0Course overview1 lesson
  1. Assessment quizQuiz · ⏱ 10 min
1Understanding Google Cloud1 lesson

Regions, projects, tools, billing.

  1. Understanding Google CloudArticle · ⏱ 3 min
2IAM1 lesson

Roles, service accounts, organisation policies.

  1. IAM on Google CloudArticle · ⏱ 3 min
3Networking1 lesson

Global VPC, firewall, load balancing.

  1. Google Cloud networkingArticle · ⏱ 3 min
4Compute1 lesson

Compute Engine, GKE, Cloud Run, functions.

  1. Compute on Google CloudArticle · ⏱ 3 min
5Storage and databases2 lessons

Cloud Storage, Cloud SQL, Spanner, Firestore, BigQuery.

  1. Google Cloud storageArticle · ⏱ 3 min
  2. Google Cloud databasesArticle · ⏱ 3 min
6Operations1 lesson

Observability, security, Terraform, costs.

  1. Operating Google CloudArticle · ⏱ 3 min
8Hands-on labs (local emulators)3 lessons

Pub/Sub, Firestore and Cloud Storage emulated on your machine.

  1. Lab: Messaging with the Pub/Sub emulatorHands-on lab · ⏱ 40 min · Level 2/5
  2. Lab: An API on the Functions Framework with the Firestore emulatorHands-on lab · ⏱ 50 min · Level 3/5
  3. Lab: Cloud Storage locally with fake-gcs-serverHands-on lab · ⏱ 35 min · Level 2/5
9Best practices1 lesson

Organisation, security, reliability, costs.

  1. Google Cloud best practicesArticle · ⏱ 3 min
90Certification preparation4 lessons

Preparation guides and practice exams for Google Cloud certifications.

  1. Preparation guide: Cloud Digital LeaderArticle · ⏱ 3 min
  2. Google Cloud Digital LeaderProject · Level 4/5
  3. Preparation guide: Associate Cloud EngineerArticle · ⏱ 3 min
  4. Google Associate Cloud EngineerProject · Level 4/5

LEARN BY DOING

Use cases & applications

Serverless containerised APIs

Cloud Run, Firestore and Pub/Sub: scale to zero.

Data analytics

BigQuery and Looker to analyse massive volumes in SQL.

Recommended prerequisites

Cloud Computing: From Discovery to Expertise

What next?

Terraform: from discovery to expertiseKubernetes: From Discovery to ExpertiseOpenTelemetry: From Discovery to Expertise

Frequently asked questions

Do I need a Google Cloud project for the labs?

No: the labs use the official Pub/Sub and Firestore emulators (shipped with gcloud) and fake-gcs-server for Cloud Storage. The same code then works on Google Cloud once the emulator variables are removed.

How does it differ from AWS and Azure?

The concepts are similar; Google Cloud stands out with its global VPC, anycast-IP load balancer, BigQuery and a reference Kubernetes (GKE).

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