Google Cloud (GCP) Associate Cloud Engineer Course in Hyderabad
Deploy, secure and operate applications on Google Cloud
The Google Cloud Associate Cloud Engineer course teaches you to set up a Google Cloud environment, deploy applications and keep them running. It follows the sections of the Google Cloud Associate Cloud Engineer exam guide: setting up a cloud solution environment, planning and configuring a cloud solution, deploying and implementing it, ensuring successful operation, and configuring access and security. You work with the resource hierarchy, IAM, billing and quotas, Compute Engine, Google Kubernetes Engine, Cloud Run and Cloud Run functions, Cloud Storage, Cloud SQL, Firestore, Bigtable, Spanner and BigQuery at an introductory level, VPC networking, load balancing, Cloud Monitoring and Cloud Logging, and infrastructure as code with Terraform and the gcloud CLI. Every module has a lab on a real Google Cloud project with budgets and clean-up guidance. The course suits graduates, system administrators and IT professionals with basic networking and Linux knowledge who want a cloud engineer role. Classes run in classroom batches at the GloryTecks centre in Ameerpet, Hyderabad, and in live online batches, with practice tests at the end.
Syllabus
Google Cloud Fundamentals
- •Cloud models, Google Cloud regions and zones
- •Organisation, folders and projects; the resource hierarchy
- •Cloud Console, Cloud Shell and the gcloud CLI
- •Lab: Create a project, link billing and set a budget alert
- •Outcome: Set up a cost-aware Google Cloud environment
Identity & Access Management
- •Principals, roles, permissions and IAM policies
- •Basic, predefined and custom roles; policy inheritance
- •Service accounts, workload identity and key hygiene
- •Lab: Grant least-privilege access and use a service account
- •Outcome: Control who can do what in a project
Compute Engine
- •Machine families, custom machine types and Spot VMs
- •Images, persistent disks, snapshots and startup scripts
- •Managed instance groups, autoscaling and health checks
- •Lab: Deploy a web server with an autoscaled instance group
- •Outcome: Run and scale virtual machine workloads
Google Kubernetes Engine & Containers
- •Containers, Docker images and Artifact Registry
- •GKE Autopilot versus Standard clusters
- •Kubernetes objects: pods, deployments, services and ingress
- •Lab: Containerise an app and deploy it to GKE
- •Outcome: Deploy containerised applications on Google Cloud
Serverless: Cloud Run, Functions & App Engine
- •Cloud Run services and jobs; revisions and traffic splitting
- •Cloud Run functions and event triggers
- •App Engine standard overview; Pub/Sub for messaging
- •Lab: Deploy a service to Cloud Run with traffic splitting
- •Outcome: Pick and deploy serverless options
Cloud Storage & Data Transfer
- •Cloud Storage buckets, locations and storage classes
- •Object versioning, lifecycle rules, retention and signed URLs
- •Storage Transfer Service and gsutil or gcloud storage commands
- •Lab: Host a static site and apply a lifecycle policy
- •Outcome: Store and move data cost-effectively
Databases & Analytics Overview
- •Choosing between Cloud SQL, AlloyDB, Spanner, Firestore and Bigtable
- •Cloud SQL high availability, backups and read replicas
- •BigQuery datasets, tables and basic queries
- •Lab: Create a Cloud SQL instance and query a public BigQuery dataset
- •Outcome: Match a data service to a requirement
VPC Networking
- •Custom and auto-mode VPC networks, subnets and IP addressing
- •Firewall rules, routes, Cloud NAT and Private Google Access
- •VPC peering, Shared VPC and Cloud VPN overview
- •Lab: Build a custom VPC with firewall rules
- •Outcome: Design and secure basic Google Cloud networks
Load Balancing & DNS
- •Choosing a load balancer type
- •Global external HTTP(S) load balancing with backend services and health checks
- •Cloud DNS and Cloud CDN
- •Lab: Put a managed instance group behind a global load balancer
- •Outcome: Distribute traffic across regions and instances
Operations: Monitoring, Logging & Alerting
- •Metrics, dashboards and uptime checks in Cloud Monitoring
- •Log Explorer, log sinks and log-based metrics
- •Alerting policies and notification channels; Error Reporting and Cloud Trace overview
- •Lab: Build a dashboard and an alert for a web service
- •Outcome: Observe and troubleshoot running services
Infrastructure as Code & Automation
- •Terraform on Google Cloud: providers, state and modules
- •gcloud scripting and Cloud Scheduler
- •Cloud Build triggers and deployment automation
- •Lab: Provision a VPC and VM with Terraform
- •Outcome: Make environments repeatable
Security, Cost & Exam Readiness
- •Cloud KMS, Secret Manager and Security Command Center overview
- •Billing reports, budgets, committed use discounts and cost exports
- •Review of the five exam-guide sections with scenario questions
- •Timed practice tests and a capstone review
- •Outcome: A tested environment and a revision plan for the vendor exam
Tools Covered
Projects Included
- Autoscaled Web Application: Deploy a web server on a managed instance group behind a global load balancer; deliverable is a working endpoint and architecture diagram.
- Containerised Service on Cloud Run: Build an image, store it in Artifact Registry and deploy it with traffic splitting; deliverable is a running service and rollback notes.
- Secure Project Baseline: Apply IAM roles, a custom VPC, firewall rules, budgets and alerts; deliverable is a hardening checklist.
- Observability Pack: Create dashboards, log-based metrics and alerts for a service; deliverable is a runbook with test alerts.
- Infrastructure as Code Project: Provision the environment with Terraform for two stages; deliverable is a Git repository with variable files.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Google Cloud (GCP) Associate Cloud Engineer course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Google Cloud (GCP) Associate Cloud Engineer.
Certificate of Completion
Google Cloud (GCP) Associate Cloud Engineer
This certifies that
[Your Name]
has successfully completed the
Google Cloud (GCP) Associate Cloud Engineer
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Google Cloud (GCP) Associate Cloud Engineer course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Does the course cover the Associate Cloud Engineer exam?
Is programming required?
Will I need a Google Cloud account and billing?
How is this different from GCP Data Engineering?
Which AWS or Azure course is equivalent?
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Best Google Cloud (GCP) Associate Cloud Engineer Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Cloud Engineer (GCP), Cloud Support Engineer, Cloud Operations Engineer, Junior DevOps Engineer; support is guidance with the job search, not a guarantee of a job.