Flagship project
Multi-Tier Cloud Infrastructure
Build a load-balanced, autoscaling infrastructure on Compute Engine with VPC networking.
- Compute
- Networking
- Load Balancing
Cloud ComputingHigh-Growth Skill
GCP Professional Certification Course in Amritsar – Zero to Job Ready with Real Cloud Projects & Placement Support
GCP Professional Certification Course course in AmritsarJob-oriented Google Cloud training built on real cloud engineering scenarios — small batches, daily hands-on labs and 100% placement assistance.
3 / 6 MonthsBeginner to advancedHybrid
3 / 6 Months
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size
Admissions open
GCP Professional Certification Course · 3 / 6 Months
Batch timings
- Morning
- Evening
- Weekend
- Live online
About the programme
Course overview
Course overviewtechcadd's GCP Professional Certification Course in Amritsar is a practical, project-first introduction to cloud engineering for beginners and career switchers.
It opens with cloud fundamentals, Google Cloud core infrastructure, and IAM, then moves into compute services, networking, storage, Kubernetes, CI/CD, monitoring, and cloud-native application deployment on real projects.
You finish with a deployed portfolio of cloud projects, a capstone project, CV preparation and interview coaching.
Every organisation in Amritsar — from IT services firms near Ranjit Avenue to product companies on Airport Road, from cloud-first startups to established enterprises — is confronting the same challenge: cloud infrastructure is no longer a competitive advantage, but a baseline requirement. Google Cloud has become the backbone of modern enterprise architecture, enabling teams to build scalable, secure, and intelligent applications using the same infrastructure Google uses internally. Companies that once relied on on-premise systems now need professionals who can design, deploy, and manage production-grade cloud solutions — efficiently and at scale.
techcadd's GCP Professional Certification Course in Amritsar is built on the tools and domains you actually see in job listings — Compute Engine, Kubernetes Engine, Cloud Run, BigQuery, Cloud Build, IAM, VPC networking, and real-world cloud scenarios — not abstract theory. You build cloud skills and complete hands-on labs from the very first module and finish with a deployed portfolio of cloud projects, not just a certificate. The programme runs in a 3-month foundation track, with an optional 6-month extended track for deeper mastery. Batches are capped at 10–12 students, and every project you build is reviewed weekly by mentors who still work on live cloud engineering projects.
Placement assistanceLive cloud labsInternship certificate
- Duration
- 3 / 6 Months
- Level
- Beginner to advanced
- Mode
- Hybrid
- Batches
- Morning, evening & weekend
Module by module
The curriculum, module by module
Module by module curriculumThe GCP Professional Certification Course is a nested ladder — the longer track includes every module from the shorter track and adds more depth. No module is repeated; you continue building on the skills you have already learned.
- Module 01 of 10
Cloud Fundamentals & Google Cloud Core Infrastructure
The foundational cloud knowledge every GCP engineer assumes you already know — how Google Cloud is organized and how to interact with it.
Topics covered
- Cloud computing concepts
- Google Cloud resource hierarchy
- projects
- billing
- IAM fundamentals
- Cloud Console
- Cloud Shell
- gcloud CLI
Tools in this module
Google Cloud ConsoleCloud Shellgcloud CLIIAMResource ManagerYou finish withA documented cloud fundamentals notebook with IAM and project setup exercises
- Module 02 of 10
Compute Engine & Virtual Networking
Core compute and networking — building and connecting virtual infrastructure on Google Cloud.
Topics covered
- VM instance creation and management
- instance templates
- managed instance groups
- VPC networks
- subnets
- firewall rules
- load balancing
- autoscaling
Tools in this module
Compute EngineVPCCloud Load BalancingManaged Instance GroupsYou finish withA multi-tier cloud infrastructure with load balancing and autoscaling
- Module 03 of 10
Storage, Databases & Identity Management
Data and identity — storing, securing, and managing access to cloud resources.
Topics covered
- Cloud Storage
- Cloud SQL
- Firestore
- Cloud Spanner
- Bigtable
- IAM roles and policies
- service accounts
- security best practices
Tools in this module
Cloud StorageCloud SQLFirestoreCloud SpannerIAMService AccountsYou finish withA cloud application with storage, database, and IAM integration
- Module 04 of 10
Kubernetes Engine & Container Orchestration
Containers and orchestration — running containerized applications on Google Kubernetes Engine.
Topics covered
- Container fundamentals
- Docker
- Kubernetes architecture
- GKE clusters
- pods
- services
- deployments
- ingress
- persistent storage
Tools in this module
DockerGoogle Kubernetes Engine (GKE)kubectlArtifact RegistryYou finish withA deployed application running on GKE with services and ingress
- Module 05 of 10
Cloud-Native Applications & Serverless Computing
Serverless and cloud-native — building and deploying applications without managing servers.
Topics covered
- Cloud Run
- Cloud Functions
- App Engine
- event-driven architecture
- API management
- Cloud Endpoints
- application deployment
Tools in this module
Cloud RunCloud FunctionsApp EngineCloud EndpointsPub/SubYou finish withA fully functional serverless application on Google Cloud
- Module 06 of 10
CI/CD, DevOps & Infrastructure as Code
DevOps automation — building pipelines and managing infrastructure as code.
Topics covered
- CI/CD pipelines
- Cloud Build
- Cloud Deploy
- Terraform
- infrastructure as code
- source repositories
- automated testing
- deployment strategies
Tools in this module
Cloud BuildCloud DeployTerraformCloud Source RepositoriesArtifact RegistryYou finish withAn automated CI/CD pipeline with Terraform-managed infrastructure
- Module 07 of 10
Monitoring, Logging & Site Reliability Engineering
Observability — monitoring, debugging, and ensuring reliability of cloud applications.
Topics covered
- Cloud Monitoring
- Cloud Logging
- Cloud Trace
- Error Reporting
- SLIs
- SLOs
- SLAs
- error budgets
- incident response
- observability
Tools in this module
Cloud MonitoringCloud LoggingCloud TraceError ReportingCloud ProfilerYou finish withA monitored application with dashboards, alerts, and SLO documentation
- Module 08 of 10
Advanced Networking & Hybrid Cloud Architecture
Advanced networking — connecting on-premise and cloud environments securely.
Topics covered
- VPC peering
- Shared VPC
- Cloud VPN
- Cloud Interconnect
- Cloud NAT
- Private Google Access
- hybrid connectivity
- network security
Tools in this module
VPCCloud VPNCloud InterconnectCloud NATCloud ArmorPrivate Service ConnectYou finish withA hybrid cloud architecture with secure connectivity and network policies
- Module 09 of 10
Data Engineering & Analytics on Google Cloud
Data engineering — building data pipelines and analytics solutions on Google Cloud.
Topics covered
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Composer
- data pipelines
- ETL processes
- analytics workloads
Tools in this module
BigQueryDataflowDataprocPub/SubCloud ComposerDataplexYou finish withA data pipeline with BigQuery analytics and documented ETL workflows
- Module 10 of 10
Capstone Project, Career & Interview Readiness
A capstone project combining compute, networking, Kubernetes, CI/CD, monitoring, and data services, plus career readiness for cloud engineering roles.
Topics covered
- Full cloud project lifecycle
- solution architecture
- portfolio development
- resume
- LinkedIn profile
- interview readiness
- GCP certification exam preparation
Tools in this module
GitHubPortfolioResumeLinkedInGCP certification practice examsYou finish withA complete capstone cloud project with documentation, and an interview-ready GCP portfolio and resume
What you build
Projects that answer the interview question for you
Portfolio projectsEach project is reviewed individually, and the review notes go into your portfolio documentation.
Kubernetes-Deployed Application
Deploy a containerized application on GKE with services, ingress, and persistent storage.
- Kubernetes
- Docker
- GKE
Serverless Cloud Application
Build a serverless application with Cloud Run or Cloud Functions, Pub/Sub, and Firestore.
- Serverless
- Cloud Run
- Firestore
Expert Capstone Project
Complete an end-to-end production-grade cloud project with CI/CD, monitoring, and security best practices.
- Multi-Domain
- Portfolio
- Deployment
The working loop
Learn it. Build it. Make it yours.
Learn it. Build it. Make it yours.Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.
- 01
Industry-focused curriculum
You learn it the way professional cloud engineering teams use it, with the workflow and standards a GCP engineer expects.
Multi-Tier Cloud Infrastructure
- 02
Live cloud labs
Every module runs on real cloud scenarios with real infrastructure and real results, not a slide or a screenshot.
Kubernetes-Deployed Application
- 03
Mentor-reviewed deliverables
Each module ends with a working cloud deployment reviewed weekly by a mentor who still works on live cloud projects.
Serverless Cloud Application
- 04
Real projects and scenarios from the start
Every project is built on real-world cloud requirements and measured through working infrastructure, the way cloud teams work.
Expert Capstone Project
The honest pitch
Your months should build more than a certificate.
Your months should build more than a certificate.A course is worth the time you give it only if you finish with cloud projects you can show and skills you can defend.
Project review week at the Amritsar campus
Mentors mark up work line by line
Hiring drive & mock interview day
Practitioners run the panel, not HR
Why choose GCP Professional Certification Course
Why students choose techcadd
Why students choose techcaddWhat makes this course at techcadd different from a typical alternative is that every module is built on a real cloud engineering scenario and documented to professional standards, so you finish with an end-to-end GCP portfolio rather than disconnected certificates.
- 01
Mentors who still work on live cloud projects
Not full-time lecturers — trainers who are still doing the job they teach.
- 02
One cloud project, extended through every module
You start the project in Module 01, extend it through every module, and complete the capstone by Module 10.
- 03
Small batch sizes
10–12 students per batch ensures every student gets personalised feedback on every deliverable.
- 04
Nested, no-repeat curriculum
Longer programs include everything from shorter tracks and add more depth — you never repeat a module.
- 05
Documented internship experience
Every student receives a documented internship certificate alongside their course certificate.
- 06
Placement support
Resume and LinkedIn preparation, interview coaching, and active placement assistance for graduates.
Eligibility
Who can join the GCP Professional Certification Course course
Who can join the GCP Professional Certification Course courseThis course works for a specific starting point — here's who gets the most out of it.
- Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
- Prior experienceNone required. The programme opens at beginner level and builds from there across 3 / 6 months.
- AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
- EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
- Time commitmentAble to attend regularly across 3 / 6 months, in a morning, evening or weekend batch.
Where it leads
The roles this portfolio opens
Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.
Tools you will actually use
The working stack for GCP Professional Certification Course
Tools and technologies coveredEvery tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.
20tools covered
Virtual machines
- Compute Engine
Container orchestration
- Google Kubernetes Engine
Serverless containers
- Cloud Run
Serverless functions
- Cloud Functions
Serverless platform
- App Engine
Virtual networking
- VPC
Load balancing
- Cloud Load Balancing
Object storage
- Cloud Storage
Managed SQL database
- Cloud SQL
NoSQL database
- Firestore
Global database
- Cloud Spanner
NoSQL big data
- Bigtable
Data warehouse
- BigQuery
Data processing
- Dataflow
Messaging
- Pub/Sub
CI/CD
- Cloud Build
Continuous delivery
- Cloud Deploy
Infrastructure as code
- Terraform
Monitoring
- Cloud Monitoring
Log management
- Cloud Logging
Tracing
- Cloud Trace
Identity management
- IAM
Browser terminal
- Cloud Shell
Command-line interface
- gcloud CLI
Containers
- Docker
Kubernetes CLI
- kubectl
Container registry
- Artifact Registry
Git repositories
- Cloud Source Repositories
Security
- Cloud Armor
VPN connectivity
- Cloud VPN
Certification
Get certified in GCP Professional Certification Course
Get certified in GCP Professional Certification CourseIssued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.
- Module-wise assessment, not attendance-based
- Project submissions logged against your certificate
- Internship letter on the industrial training track
- Verifiable directly with the campus office
Future scope
Where this takes you over the next five years
Where this takes you over the next five yearsThe skill does not stand still, and neither does what it is worth.
- Cloud is the new baselineEmployers increasingly assume development knowledge will extend to cloud platforms like Google Cloud.
- DevOps and IaC are the new layersTeams expect cloud engineers to integrate automation, testing, and scalable architecture, not just deploy VMs.
The objective is practical knowledge rather than memorised concepts.
Due diligence
How techcadd compares
How techcadd comparesWhat actually differs between this course at techcadd and a typical alternative.
| What you should ask | techcadd Amritsar | Other institutes |
|---|---|---|
| Live cloud work | Every module, from week one | Varies, often only at the end |
| Learning format | One cloud project extended through every module | Topics demonstrated separately, rarely combined |
| Tools used | GCP, Kubernetes, Terraform, CI/CD | Usually limited to basic cloud services |
| Batch size | 10–12 students per batch | Often 25–40 students per batch |
| Kubernetes & containers | Live integration, GKE deployment | Rarely covered |
| Advanced topics | Cloud-native architecture, SRE, CI/CD | Often only theory |
| Automation & IaC | Terraform, Cloud Build, Cloud Deploy | Rarely covered |
| Portfolio | 10 documented cloud deliverables | Often just assignments, not portfolio-ready work |
| Certificate | Completion certificate + documented internship | Only a completion certificate |
| Placement support | Resume, LinkedIn, interview coaching, active placement | Often only a completion certificate |
Every comparison here is about substance, not marketing language.
Before you enrol
Questions we get asked at the admissions desk
Frequently asked questionsIf something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at beginner level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.
