Do I need prior experience to join the GCP Professional Certification Course course?

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.

How long is the course and how are batches scheduled?

It runs across flexible batches, with morning, evening and weekend batches. Working professionals usually take the weekend track; full-time students generally take the weekday morning batch.

Is this classroom training or online?

Both. The Amritsar campus runs classroom batches with lab access, and the same syllabus is delivered live online for students outside the city. Recordings are available either way for revision.

What kind of projects will I build?

13 portfolio projects, starting with linux & bash automation lab and building to a capstone. They are reviewed individually, and the review notes go into your portfolio documentation.

Is placement support included?

Yes. Every enrolled student gets resume and portfolio review, mock interviews with practitioners, and access to the hiring drives we run through the year. Support continues after the course ends.

Can I pay the fee in instalments?

Yes — instalment plans are available and are agreed at the counselling stage. Speak to the Amritsar admissions desk for the current structure for this programme.

Google Cloud

GCP Professional Certification Course in Amritsar with Live Labs & Placement Support

Job-oriented professional training built on live labs — small batches, daily hands-on practice and 100% placement assistance.

Flexible batchesBeginner to advancedHybrid

Book a free demo class Talk to a counsellor

3 / 6 / 9 Months
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size

Admissions open

GCP Professional Certification Course · Flexible batches

Batch timings

Morning
Evening
Weekend
Live online

Book a free demo Talk to a counsellor

About the programme

Course overview

techcadd's GCP Professional Certification Course in Amritsar is a lab-based, professional-level programme for learners who want to work as cloud engineers, DevOps engineers, or cloud architects on Google Cloud.

It opens with cloud computing fundamentals, Linux, networking, and GCP core services, then moves into compute, storage, databases, serverless, security, Infrastructure as Code, CI/CD, containers, Kubernetes, monitoring, and AI-powered cloud solutions.

You finish with a professional portfolio of deployed GCP architectures, a capstone project, CV preparation and interview coaching.

Cloud computing is the practice of delivering computing resources — servers, storage, databases, networking, security, and software — over the internet. At the professional level, the job changes from clicking buttons in a console to owning cloud environments — architecting them, automating them, securing them, optimizing costs, and defending them to a business. That is the layer this programme trains you for. Startups, IT firms, banks, and healthcare providers across Punjab are all migrating to the cloud, and each of them needs engineers who can design, deploy, secure and explain a Google Cloud environment before it becomes a costly mistake.

Techcadd's GCP Professional Certification Course is built around the tools that appear in actual job descriptions — Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, BigQuery, GKE, and Terraform — not academic substitutes. You work in a hands-on cloud lab from the first week and finish with a professional portfolio of deployed architectures, a capstone project, and interview-ready documentation. The programme is available in 3, 6, and 9-month tracks, and each longer track includes everything from the shorter one without repeating a module. Batch sizes are capped at 10–12 students, and every deliverable is reviewed weekly by mentors who still work on live cloud engagements.

Linux & Cloud FundamentalsGCP Core ServicesNetworking & SecurityServerless & Advanced GCPContainers & KubernetesInfrastructure as CodeCI/CD & AutomationMonitoring, MLOps & AICloud Architecture & ResilienceCapstone, Certification & Placement

Inside the Amritsar lab — a walkthrough of the gcp professional certification course track.

Duration: Flexible batches
Level: Beginner to advanced
Mode: Hybrid
Batches: Morning, evening & weekend

Module by module

The curriculum, module by module

The GCP Professional Certification program is a nested ladder — each longer track includes every module from the shorter tracks and adds more depth. No module is repeated; you continue building on the skills you have already learned.

Module 01 of 27
Linux Administration & Bash Automation
Linux fundamentals — file systems, users and permissions, shell scripting, process management, package management, and system monitoring.
Topics covered
Linux fundamentals
file systems
users & permissions
shell scripting
process management
package management
system monitoring
Tools in this module
LinuxBash
You finish with
A configured Linux environment with documented permissions and automation scripts
Module 02 of 27
GCP Fundamentals, IAM & VPC
GCP fundamentals — global infrastructure, regions and zones, IAM users, roles, policies, VPC, subnets, routes, and firewall rules.
Topics covered
GCP Global Infrastructure
Regions & Zones
IAM Users
Roles
Policies
VPC
Subnets
Routes
Firewall Rules
Tools in this module
GCP ConsoleCloud IAMVPC
You finish with
A configured GCP project with IAM users, roles, and a VPC architecture
Module 03 of 27
Compute, Storage, Databases & Scaling
GCP compute, storage, and databases — Compute Engine, instance groups, load balancing, Cloud Storage, persistent disk, Cloud SQL, Firestore, and Memorystore.
Topics covered
Compute Engine
Instance Groups
Load Balancing
Cloud Storage
Persistent Disk
Cloud SQL
Firestore
Memorystore
Tools in this module
Compute EngineCloud StorageCloud SQLFirestoreMemorystore
You finish with
A deployed Compute Engine instance with autoscaling, Cloud Storage, and Cloud SQL
Module 04 of 27
GCP Networking, Security & Architecture
GCP networking, security, and architecture — VPC peering, Cloud NAT, Cloud Load Balancing, Cloud DNS, Cloud CDN, security best practices, Cloud Armor, and the Google Cloud Architecture Framework.
Topics covered
VPC Peering
Cloud NAT
Cloud Load Balancing
Cloud DNS
Cloud CDN
Security Best Practices
Cloud Armor
Well-Architected Framework
Tools in this module
VPCCloud NATCloud DNSCloud CDNCloud Armor
You finish with
A documented network architecture with security best practices
Module 05 of 27
Git & GitHub
Git branching and GitHub workflows so scripts, templates and documentation are version-controlled like a professional project.
Topics covered
Version control
repo hygiene
professional workflow
Tools in this module
GitGitHub
You finish with
A GitHub portfolio repository with your GCP scripts and templates
Module 06 of 27
AI for Cloud Engineering
Using AI assistants and prompt engineering to speed up scripting, debugging and cloud research — a practical tool skill, not a theory module.
Topics covered
Using AI to assist scripting
debugging and research
Tools in this module
ChatGPTGeminiCopilotprompt engineering
You finish with
A documented workflow for using AI tools in cloud engineering
Module 07 of 27
Advanced GCP & Cloud Operations
Advanced GCP services — Infrastructure as Code with Cloud Deployment Manager, serverless with Cloud Functions, DNS with Cloud DNS, logging with Cloud Logging, event-driven architecture with Eventarc, messaging with Pub/Sub, and monitoring.
Topics covered
Cloud Deployment Manager
Cloud Functions
Cloud DNS
Cloud Logging
Eventarc
Pub/Sub
Monitoring
Infrastructure as Code
Tools in this module
Cloud Deployment ManagerCloud FunctionsCloud DNSCloud LoggingEventarcPub/Sub
You finish with
A deployed serverless application with Cloud Deployment Manager and monitoring
Module 08 of 27
AI Foundations & Generative AI on GCP
AI and Generative AI on GCP — AI fundamentals, machine learning, LLMs, prompt engineering, and building AI applications with Vertex AI, Gemini, Vision AI and Document AI.
Topics covered
AI Fundamentals
Machine Learning
LLMs
Prompt Engineering
Vertex AI
Gemini
Vision AI
Document AI
AI Application Development
Tools in this module
Vertex AIGeminiVision AIDocument AI
You finish with
A deployed AI-powered application using Vertex AI or Gemini
Module 09 of 27
Docker & Containerization
Containerization with Docker — containers, images, Dockerfile, Docker Compose, networks, volumes, registries, and multi-stage builds.
Topics covered
Containers
Images
Dockerfile
Docker Compose
Networks
Volumes
Registries
Multi-stage Builds
Tools in this module
DockerDocker ComposeArtifact Registry
You finish with
A containerized application with Docker Compose published to Artifact Registry
Module 10 of 27
Jenkins CI/CD & Secure Delivery
CI/CD with Jenkins — pipelines, Git integration, build, test, artifact management, SonarQube, Trivy, and Blue/Green & Canary deployments.
Topics covered
Jenkins Pipelines
Git Integration
Build
Test
Artifact Management
SonarQube
Trivy
Blue/Green & Canary Deployments
Tools in this module
JenkinsSonarQubeTrivyGit
You finish with
A Jenkins CI/CD pipeline with security scanning and deployment strategies
Module 11 of 27
Terraform & Infrastructure as Code
Infrastructure as Code with Terraform — providers, modules, state management, workspaces, GCP resources, and infrastructure automation.
Topics covered
Terraform Providers
Modules
State Management
Workspaces
GCP Resources
Infrastructure Automation
Tools in this module
TerraformGCPGitHub
You finish with
A Terraform template published to GitHub that deploys GCP infrastructure
Module 12 of 27
Monitoring, MLOps & AI Deployment
Monitoring and MLOps — Prometheus, Grafana, ELK Stack, MLflow, model deployment, CI/CD for ML, and AI model serving.
Topics covered
Prometheus
Grafana
ELK Stack
MLflow
Model Deployment
CI/CD for ML
AI Model Serving
Tools in this module
PrometheusGrafanaELK StackMLflow
You finish with
A monitoring dashboard and deployed ML model with CI/CD
Module 13 of 27
Cloud Architecture & Resilience Mastery
Cloud architecture and resilience — Google Cloud Architecture Framework, multi-project strategy, high availability, disaster recovery, and cost optimization.
Topics covered
Google Cloud Architecture Framework
Multi-Project Strategy
High Availability
Disaster Recovery
Cost Optimization
Tools in this module
Google Cloud Architecture FrameworkResource ManagerCloud Backup
You finish with
An Architecture Framework review and disaster recovery plan
Module 14 of 27
GCP Security Engineering & Recovery
GCP security engineering — IAM best practices, Security Command Center, Cloud Armor, Cloud KMS, Secret Manager, backup, recovery, and incident response.
Topics covered
IAM Best Practices
Security Command Center
Cloud Armor
Cloud KMS
Secret Manager
Backup
Recovery
Incident Response
Tools in this module
Cloud IAMSecurity Command CenterCloud ArmorCloud KMSSecret ManagerCloud Backup
You finish with
A security assessment report with encryption, Security Command Center and incident response plan
Module 15 of 27
Cloud AI Services Engineering
Cloud AI services engineering — Vertex AI, Gemini Advanced, Natural Language AI, Forecast, Document AI, Recommendations AI, and custom AI solutions.
Topics covered
Vertex AI
Gemini Advanced
Natural Language AI
Forecast
Document AI
Recommendations AI
Custom AI Solutions
Tools in this module
Vertex AIGeminiNatural Language AIForecastDocument AIRecommendations AI
You finish with
Cloud AI services engineering — Vertex AI, Gemini Advanced, Natural Language AI, Forecast, Document AI, Recommendations AI, and custom AI solutions.
Module 16 of 27
Production Containers & Kubernetes Operations
Production Kubernetes on GCP — GKE, Helm, Kubernetes Operators, autoscaling, service mesh, GitOps, and cluster hardening.
Topics covered
GKE
Helm
Kubernetes Operators
Autoscaling
Service Mesh
GitOps
Cluster Hardening
Tools in this module
GKEHelmKubernetesGitOpsService Mesh
You finish with
A production-grade GKE cluster with Helm and GitOps
Module 17 of 27
Infrastructure Automation & Delivery Engineering
Infrastructure automation and delivery engineering — GitOps, ArgoCD, Terraform Enterprise, Policy as Code, automated deployments, and release engineering.
Topics covered
GitOps
ArgoCD
Terraform Enterprise
Policy as Code
Automated Deployments
Release Engineering
Tools in this module
ArgoCDTerraform EnterpriseGitOpsPolicy as Code
You finish with
A GitOps-driven deployment pipeline with ArgoCD and Policy as Code
Module 18 of 27
Observability, MLOps & Expert Capstone
Observability, MLOps and the expert capstone — observability stack, AIOps, model monitoring, experiment tracking, and an end-to-end capstone project.
Topics covered
Observability Stack
AIOps
Model Monitoring
Experiment Tracking
End-to-End Capstone Project
Tools in this module
Cloud MonitoringCloud LoggingVertex AIMLflowAIOps
You finish with
A complete end-to-end capstone project with observability and MLOps
Module 19 of 27
GCP Capstone, Operations & Career Readiness
GCP capstone and career readiness — real-world cloud project, monitoring with Cloud Monitoring, CI/CD, Infrastructure as Code with Terraform, backup and disaster recovery, and resume and interview preparation.
Topics covered
Real-world Cloud Project
Monitoring with Cloud Monitoring
CI/CD
Infrastructure as Code (Terraform)
Backup & Disaster Recovery
Resume & Interview Prep
Tools in this module
Cloud MonitoringTerraformGitHub
You finish with
A complete end-to-end capstone project and career readiness portfolio
Module 20 of 27
Career Readiness
Career readiness — portfolio review, resume refinement and interview preparation for cloud roles.
Topics covered
Interview readiness
portfolio
career planning
Tools in this module
PortfolioresumeLinkedIn
You finish with
An interview-ready cloud portfolio and resume
Module 21 of 27
GCP Careers & Specializations
GCP career paths — roles, specializations, and the tooling employers expect you to know.
Topics covered
Career paths
specializations
industry trends
Tools in this module
Career mappingindustry research
You finish with
A GCP career map with portfolio alignment
Module 22 of 27
Resume & LinkedIn Portfolio
Building a resume, LinkedIn profile and GitHub portfolio that reflects your lab work and capstone project.
Topics covered
Personal brand
portfolio
outreach
Tools in this module
ResumeLinkedInGitHub portfolio
You finish with
A published resume, LinkedIn profile and GitHub portfolio
Module 23 of 27
Aptitude & HR Preparation
Aptitude and HR interview preparation for cloud hiring processes.
Topics covered
Aptitude
communication
HR interview readiness
Tools in this module
Aptitude banksmock HR interviews
You finish with
Aptitude and HR interview readiness
Module 24 of 27
Technical Mock Interviews
Technical mock interviews covering labs, tools, architecture and defensive reasoning.
Topics covered
Technical interview defence
Tools in this module
Mock technical interviews
You finish with
Technical interview readiness with documented feedback
Module 25 of 27
Practical Assessment & Certification
A hands-on practical assessment and certification covering the full programme.
Topics covered
Hands-on assessment under exam conditions
Tools in this module
Practical assessment lab
You finish with
A practical assessment result and certification
Module 26 of 27
Freelancing & Career Launch
Freelancing and career launch — finding clients, pricing and delivering cloud work.
Topics covered
Freelance readiness
client work
cold outreach
Tools in this module
Freelance platformsoutreach templates
You finish with
A freelance-ready service page and outreach plan
Module 27 of 27
Final Industry Readiness & Certification
Final industry readiness review and certification ahead of placement.
Topics covered
Final readiness review and certification
Tools in this module
Industry readiness checklist
You finish with
Industry-ready certification and placement dossier

What you build

Projects that answer the interview question for you

Each project is reviewed individually, and the review notes go into your portfolio documentation.

Flagship project

Linux & Bash Automation Lab

Configure a Linux environment with users, permissions, and Bash automation scripts.

Linux
Bash

GCP Project & IAM Setup

Configure a GCP project with IAM users, groups, roles, policies and MFA.

Cloud IAM
GCP Console

VPC Architecture Build

Build a VPC with public and private subnets, routes, Cloud NAT, firewall rules and Cloud Armor.

VPC
Cloud NAT
Cloud Armor

Compute Engine Auto Scaling & Load Balancing

Deploy a Compute Engine instance with autoscaling and load balancing.

Compute Engine
Load Balancing
Autoscaling

Cloud Storage with Lifecycle Policies

Configure a Cloud Storage bucket with lifecycle policies and versioning.

Cloud Storage
Cloud CDN

Cloud SQL Database with Backups

Deploy a Cloud SQL database with automated backups and recovery.

Cloud SQL
Cloud Backup

Cloud Monitoring Dashboard & Alarms

Build a Cloud Monitoring dashboard with alarms and log analysis.

Cloud Monitoring
Cloud Logging
Pub/Sub

Serverless Application

Deploy a serverless application with Cloud Functions, Pub/Sub and Firestore.

Cloud Functions
Pub/Sub
Firestore

Infrastructure as Code Template

Write and publish a Cloud Deployment Manager or Terraform template to GitHub.

Cloud Deployment Manager
Terraform
GitHub

CI/CD Pipeline

Build a CI/CD pipeline with Jenkins, Cloud Build and Cloud Deploy.

Jenkins
Cloud Build
Cloud Deploy

Containerized Application

Deploy a containerized application on GKE with Helm.

GKE
Helm
Docker
Artifact Registry

Cost Optimization Report

Analyze GCP costs with Cloud Billing and produce an optimization report.

Cloud Billing
Cost Optimization

Industry Capstone Project

Complete an end-to-end capstone combining architecture, deployment, security and monitoring.

Full GCP Stack
GitHub

The working loop

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 it is used on real cloud engagements, with the workflow and standards a cloud team expects.
Linux & Bash Automation Lab
02
Live labs, not slides
Every module runs in a hands-on cloud lab against real GCP projects — not screenshots.
GCP Project & IAM Setup
03
Mentor-reviewed deliverables
Each module ends with a documented architecture, reviewed weekly by a mentor who still works on live cloud engagements.
VPC Architecture Build
04
Reporting and certification
Every exercise ends with a written report, and the programme closes with a practical assessment and certification.
Compute Engine Auto Scaling & Load Balancing

The honest pitch

Your months should build more than a certificate.

A course is worth the time you give it only if you finish with work 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

What makes this course at techcadd different from a typical alternative.

01
Mentors who still ship client work
Not full-time lecturers — trainers who are still doing the job they teach.
02
Live labs, not slides
Every module runs in a hands-on cloud lab against real GCP projects — not screenshots.
03
Tools used in job descriptions
Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, Terraform, GKE — not outdated or academic substitutes.
04
Nested ladder structure
Each longer track includes every module from the shorter one without repeating a module.
05
AI-assisted learning
You learn to use AI assistants and prompt engineering as practical tools in cloud engineering.

Eligibility

Who can join the GCP Professional Certification Course course

This 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 flexible batches.
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 flexible batches, 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

Every 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

Operating system

Linux

Scripting shell

Bash

Cloud platform

GCP Console

Identity & access

Cloud IAM

Networking

VPC
Cloud NAT

Compute

Compute Engine

Storage

Cloud Storage
Persistent Disk

Database

Cloud SQL
Firestore

Caching

Memorystore

DNS

Cloud DNS

CDN

Cloud CDN

Security

Cloud Armor

IaC

Cloud Deployment Manager
Terraform

Serverless

Cloud Functions

Logging

Cloud Logging
ELK Stack

Event bus

Eventarc

Messaging

Pub/Sub

AI/ML

Vertex AI
Gemini
Vision AI
Document AI
Natural Language AI
Forecast
Recommendations AI

Containers

Docker
Docker Compose
GKE

Container registry

Artifact Registry

CI/CD

Jenkins

Code quality

SonarQube

Security scanner

Trivy

Monitoring

Prometheus
Grafana
Cloud Monitoring

MLOps

MLflow

Kubernetes package manager

Helm

Orchestration

Kubernetes

GitOps

ArgoCD

Methodology

GitOps

Governance

Policy as Code

Code hosting

GitHub

Programming language

Python

AI assistant

ChatGPT
Gemini
Copilot

AI API

OpenAI API
Gemini API

Linux

Bash

GCP Console

Cloud IAM

VPC

Compute Engine

Cloud Storage

Persistent Disk

Cloud SQL

Firestore

Memorystore

Cloud NAT

Cloud DNS

Cloud CDN

Cloud Armor

Cloud Deployment Manager

Cloud Functions

Cloud Logging

Eventarc

Pub/Sub

Certification

Get certified in GCP Professional Certification Course

Issued 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

Enrol for the next batch Download brochure

Future scope

Where this takes you over the next five years

The skill does not stand still, and neither does what it is worth.

Multi-cloud and hybrid cloudBusinesses are adopting multi-cloud strategies, making cross-platform skills increasingly valuable.
Serverless-first architectureCloud Functions, Pub/Sub and Firestore are becoming the default for new applications.
AI/ML on GCPVertex AI, Gemini and AI services are moving from niche to standard expectations.
FinOps and cost optimizationCloud cost management is now a dedicated role, not an afterthought.
Infrastructure as CodeTerraform and Cloud Deployment Manager are now standard requirements in cloud job descriptions.

What you walk away with

The objective is practical knowledge rather than memorised concepts.

Due diligence

How techcadd compares

What actually differs between this course at techcadd and a typical alternative.

techcadd Amritsar compared with a typical training institute in the region
What you should ask	techcadd Amritsar	Other institutes
Live cloud project work	Every course, from week one	Varies, often only at the end
Small batches (10–12)	Capped for mentor attention	Often 30+ students per batch
Tools used in job descriptions	Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, Terraform, GKE	Outdated or academic substitutes
Mentor-reviewed deliverables	Weekly review by working professionals	Often no review or feedback
AI-assisted learning	Built into the curriculum	Rarely included

Every comparison here is about substance, not marketing language.

Before you enrol

Questions we get asked at the admissions desk

If something here is not covered, the Amritsar desk will answer it directly — no call-back queue.

Call +91 99152 22509 Send an enquiry

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.

GCP Professional Certification Course in Amritsar with Live Labs & Placement Support

Course overview

The curriculum, module by module

Linux Administration & Bash Automation

Topics covered

Tools in this module

GCP Fundamentals, IAM & VPC

Topics covered

Tools in this module

Compute, Storage, Databases & Scaling

Topics covered

Tools in this module

GCP Networking, Security & Architecture

Topics covered

Tools in this module

Git & GitHub

Topics covered

Tools in this module

AI for Cloud Engineering

Topics covered

Tools in this module

Advanced GCP & Cloud Operations

Topics covered

Tools in this module

AI Foundations & Generative AI on GCP

Topics covered

Tools in this module

Docker & Containerization

Topics covered

Tools in this module

Jenkins CI/CD & Secure Delivery

Topics covered

Tools in this module

Terraform & Infrastructure as Code

Topics covered

Tools in this module

Monitoring, MLOps & AI Deployment

Topics covered

Tools in this module

Cloud Architecture & Resilience Mastery

Topics covered

Tools in this module

GCP Security Engineering & Recovery

Topics covered

Tools in this module

Cloud AI Services Engineering

Topics covered

Tools in this module

Production Containers & Kubernetes Operations

Topics covered

Tools in this module

Infrastructure Automation & Delivery Engineering

Topics covered

Tools in this module

Observability, MLOps & Expert Capstone

Topics covered

Tools in this module

GCP Capstone, Operations & Career Readiness

Topics covered

Tools in this module

Career Readiness

Topics covered

Tools in this module

GCP Careers & Specializations

Topics covered

Tools in this module

Resume & LinkedIn Portfolio

Topics covered

Tools in this module

Aptitude & HR Preparation

Topics covered

Tools in this module

Technical Mock Interviews

Topics covered

Tools in this module

Practical Assessment & Certification

Topics covered

Tools in this module

Freelancing & Career Launch

Topics covered