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Course Highlights

The certificate programme is structured into six courses and a series of lab‑based courses. Key components and statistics include:

  • Total Courses: Six foundational courses plus final lab‑based courses
  • Total Modules: 38 modules
  • Total Videos: 207 videos
  • Total Labs: 23 hands‑on labs
  • Total Documents: 20 documents
  • Total Quizzes: 31 quizzes
  • Skill Badges: Four final skill badge credentials
  • Estimated Completion Time: Approximately 90 hours to complete the entire certificate
  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Badge Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in the Google Cloud Engineering Certificate Course?

Upon completing the programme, learners will acquire skills in a wide range of cloud engineering disciplines, including:

  • Describing the five domains covered in the Associate Cloud Engineer Certification exam
  • Identifying the purpose and value of Google Cloud products and services
  • Defining how infrastructure is organised and controlled in Google Cloud
  • Interacting with the Google Cloud Console and Cloud Shell
  • Implementing VPC networks and firewall rules
  • Creating and customising VM instances using Compute Engine
  • Administering Identity and Access Management (IAM) for resources
  • Implementing data storage services in Google Cloud
  • Configuring load balancers and autoscaling for VM instances
  • Discussing the components and architecture of Kubernetes
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Reasons to enrol

Why should you take the Google Cloud Engineering Certificate Course?

Cloud Engineering is a vital and rapidly evolving field. Enrolling in this programme offers several advantages:

  • Provides a scalable way to design and build a cost-effective digital infrastructure.
  • Positions you at the forefront of technological transformation.
  • Helps drive innovation and create reliable solutions.
  • Provides a path to launch a new career or advance an existing one within an organisation.
  • Allows learners to practise key skills and produce work examples (via hands-on labs) to show potential employers.
  • The curriculum builds working knowledge progressively, culminating in four hands-on skill badge credentials.
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Ideal Participants

Who should take the Google Cloud Engineering Certificate Course?

  • The certificate is for learners looking to build expertise in cloud infrastructure and prepare for careers in a hybrid cloud world. Learners should be students and a minimum of 18 years of age is mandatory.
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Curriculum

Curriculum

  • Preparing for Your Associate Cloud Engineer Journey - approximately eight hours - structuring exam preparation, learning about the five Associate Cloud Engineer exam domains, and creating a study plan.
  • Google Cloud Fundamentals: Core Infrastructure - approximately six hours - introducing core concepts, terminology, computing and storage services, and resource/policy management tools in Google Cloud.
  • Essential Google Cloud Infrastructure: Foundation - approximately nine and a half hours - an accelerated introduction to Google Cloud infrastructure, focusing on Compute Engine, VPC networks, and using the Console/Cloud Shell.
  • Essential Google Cloud Infrastructure: Core Services - approximately nine hours - focusing on Compute Engine, IAM, storage and database services, resource management, and resource monitoring.
  • Essential Google Cloud Infrastructure: Scaling and Automation - approximately ten hours - focusing on securely interconnecting networks, load balancing and autoscaling, infrastructure automation, and managed services.
  • Getting Started with Google Kubernetes Engine - approximately seven hours - covering the basics of Google Kubernetes Engine (GKE), containers, Kubernetes architecture, and operations, including managing GKE clusters.

Skill Badge Tracks (Lab-based Courses)

  • Implement Load Balancing on Compute Engine - approximately three and a half hours - writing gcloud commands, deploying VMs in Compute Engine, and configuring network and HTTP load balancers.
  • Set Up an App Dev Environment on Google Cloud - approximately four hours - building storage‑centric cloud infrastructure using Cloud Storage, IAM, Cloud Functions, and Pub/Sub.
  • Develop Your Google Cloud Network - approximately six hours - exploring IAM roles, creating VPC networks, deploying and monitoring Compute Engine VMs, writing SQL queries, and deploying applications using Kubernetes.
  • Build Infrastructure with Terraform on Google Cloud - approximately five hours - covering Infrastructure as Code (IaC) principles with Terraform, provisioning Google Cloud resources, state management, and modularisation.
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skills and tools

Tools you will learn in the Google Cloud Engineering Certificate Course

The programme focuses on developing proficiency with key Google Cloud tools, services, and associated technologies:

  • Google Cloud Console
  • Cloud Shell
  • Google Cloud Marketplace
  • gcloud Command‑line Tool
  • kubectl Command‑line Tool
  • Compute Engine (VM instances)
  • Virtual Private Cloud (VPC) Networks and Firewall Rules
  • Identity and Access Management (IAM)
  • Storage and Database Services
  • Resource Monitoring (Google Cloud's operations suite)
  • Load Balancing and Autoscaling
  • Google Kubernetes Engine (GKE)
  • Terraform for Infrastructure as Code (IaC)
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