Title of the Course: Google cloud Digital Leader, Google Cloud associate Cloud Engineer, Google Cloud Professional Cloud Architect, Google Cloud Database Engineer

Brief Description: This course provides a comprehensive introduction to Google Cloud Platform (GCP), covering core services such as compute, storage, networking, and security. It is designed to help learners build hands-on skills in deploying, managing, and securing cloud-native applications using GCP tools and best practices.

Skill Level: Novice->Intermediate->Proficient->Advanced->Expert

Duration: 16 Weeks, 30 Hours

FormatSelf-paced / Live Online / In-person / Hybrid

  • Hands-on labs / Projects
  • Certification Preparation
  • Resume/LinkedIn Support
  • Job Assistance
  • Access to LMS / Downloadable Material
  • Lifetime Course Access & Community Member

From Beginner to Expert — including practical skills and certification suggestions

Goal: Understand core GCP services, concepts, and navigation.

Week 1: GCP Fundamentals

  • GCP overview: projects, billing, IAM
  • Navigate Cloud Console & Cloud Shell
  • Services intro: Compute, Storage, Networking
  • Hands-on: Create and manage a GCP project
  • Cert prep: Start Cloud Digital Leader (optional)

Week 2: Compute & Networking Basics

  • Compute Engine: VM creation, firewall rules
  • VPC basics: subnets, routes, IP ranges
  • Load balancers (brief overview)
  • Hands-on: Launch VM, SSH, and create firewall rules

Week 3: Cloud Storage & Databases

  • Cloud Storage (buckets, lifecycle)
  • BigQuery (basics, querying)
  • Cloud SQL (MySQL/PostgreSQL)
  • Hands-on: Upload files to GCS, run BQ query

Week 4: IAM & Billing

  • IAM Roles, Policies, Service Accounts
  • Billing Management & Budgets
  • Project: Secure a sample GCP project with IAM roles
  • Cert: Attempt Google Cloud Digital Leader exam (optional)

Goal: Build foundational cloud infrastructure and services.

Week 5: GCP Networking Deep Dive

  • VPC, VPN, Shared VPC, Private Google Access
  • Load balancing, Cloud DNS
  • Hands-on: Deploy web app with HTTP(S) LB

Week 6: Compute Engine Advanced

  • Instance templates, managed instance groups
  • Autoscaling & load balancing
  • Project: Deploy scalable compute service

Week 7: GKE & Containers Intro

  • GCP Kubernetes Engine (GKE) concepts
  • Docker, container registry, YAML deployments
  • Hands-on: Deploy app on GKE using Cloud Shell

Week 8: Storage Deep Dive

  • Cloud Storage classes, access control
  • Cloud Filestore, Persistent Disks
  • Cert: Prepare for Associate Cloud Engineer certification

Goal: Architect scalable and resilient solutions.

Week 9: Identity & Access at Scale

  • Service accounts, workload identity federation
  • Organization policies, resource hierarchy
  • Hands-on: Org policy and IAM simulation

Week 10: Advanced Networking & Security

  • Hybrid connectivity (Cloud VPN, Interconnect)
  • Cloud Armor, Identity-Aware Proxy
  • Project: Secure multi-tier web app

Week 11: Data & Analytics

  • Dataflow, Pub/Sub, BigQuery advanced
  • Cloud Data Fusion, DataPrep
  • Hands-on: Real-time ingestion pipeline (Pub/Sub → BigQuery)

Week 12: DevOps on GCP

  • • Cloud Build, Source Repositories, Artifact Registry
  • • CI/CD Pipelines, Deployment Manager
  • Cert: Start preparing Professional Cloud Architect or Professional DevOps Engineer

Goal: Specialize and certify.

Week 13–14: Specialization Deep Dives (Choose based on goal)

  • Cloud Architect: System design, HA/DR, hybrid architecture
  • Data Engineer: Data pipelines, ML APIs
  • DevOps: Monitoring (Cloud Monitoring, Error Reporting)

Week 15: Mock Exams & Revision

  • Practice exams
  • Revisit weak areas via Qwiklabs/Skill Boosts

Week 16: Certification

Attempt your chosen Professional Certification

  • Professional Cloud Architect
  • Professional Cloud DevOps Engineer
  • Professional Data Engineer

What will the learner be able to do after this course?

After this course, learners will be able to design and deploy secure, scalable applications on Google Cloud and manage services like Compute Engine, Cloud Storage, and BigQuery. For example, they’ll be able to build a production-ready web app using GCP infrastructure and optimize its database performance using Cloud SQL.

They will be prepared to pass the corresponding AWS certification exams and apply their skills in real-world cloud projects.

  • Name: Sandeep
  • Instructor Bio: The instructor is a certified Google Cloud Professional Cloud Architect and Associate Cloud Engineer with over 10 years of industry experience. They have worked with leading MNCs like TCS and Accenture, as well as fast-paced startups such as CloudNova Tech. With a strong background in cloud infrastructure, DevOps, and data engineering, the instructor combines real-world project expertise with a passion for mentoring aspiring cloud professionals.

  • Certificate of completion
  • Industry-recognized badge (e.g., AWS, Microsoft, Oracle)

  • ₹ 9,999/-
  • EMI or group discounts (if applicable)

Anyone interested in building a career in database administration or management.

Basic networking and computing knowledge recommended.

Classes are conducted live with access to recorded sessions.

Yes, hands-on labs and real-time project scenarios are provided.

Yes, placement guidance and resume support are offered.

Post-course support includes doubt-clearing sessions and job interview preparation.

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