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Google Cloud services including compute, storage, networking, IAM, databases, and application deployment.
Learner rating
4.7/5
Course duration
2 Months
Learning modules
13 modules
Learning mode
Online/ Offline
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Google Cloud Platform (GCP) is a 2 Months DevOps / Cloud Computing program built around hands-on practice, guided assignments, interview preparation, and placement support. Start with Compute Engine, practise with Google Cloud Console, Compute Engine, Cloud Storage, and connect your learning through applied business scenarios. Build a portfolio that explains your approach and prepare for roles such as GCP Cloud Associate and Cloud Support Engineer.
2 Months structured training program
Hands-on practice with Google Cloud Console, Compute Engine, Cloud Storage
Live projects and portfolio-ready assignments
Certification guidance and placement assistance
A structured learning journey
Explore the curriculum, build your understanding one module at a time, and put each new skill into practice.
Find out how this curriculum fits your career goals.
Tools & technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Build practical skills with industry-relevant learning, expert guidance, and hands-on projects designed for modern teams.
Get the complete curriculum, tools, projects, and career support details in one brochure.
Build something that matters
Every student completes 6 real-world projects — one per month — building a professional portfolio demonstrated during placement interviews.
Create and configure virtual machines on Google Cloud. Set up Linux-based cloud servers. Configure firewall rules and network access. Deploy and test a web application on the virtual machine.
Create and configure a Cloud Storage bucket. Upload HTML, CSS and JavaScript website files. Configure website access and permissions. Host and test a static website on Google Cloud.
Create and configure a Cloud SQL database. Connect the database with a sample application. Perform database operations using SQL queries. Configure database security, backup and recovery.
Build a sample application using Docker. Create and configure a Kubernetes cluster. Deploy containerized applications using GKE. Configure services, scaling and application monitoring.
Portfolio tip: document the problem, your approach, and the result so you can walk an interviewer through your decisions.
Learn more about how we have been impacting thousands of careers.
Recognition that travels with you
Certification pathway
Build a credible portfolio of skills with structured preparation, practical projects, and certification guidance from experienced mentors.
Beyond the classroom
Soft skill session
Resume building
Aptitude training
LinkedIn profile building
Mock interview
Job assistance
Dedicated placement support with industry connections and recruiter interactions.
Your next opportunity starts here
Industry-ready courseFilling fast
CAREER OUTCOME
Offer letter preview
Congratulations!
Your practical skills, projects, and career preparation can help you approach interviews with clarity and confidence.
Role-ready preparation
Portfolio, interview practice, and mentor feedback.
Career counsellor
A little more clarity
Answers to common questions about learning, projects, and getting started.
Google Cloud Platform is a cloud computing service offered by Google that provides infrastructure, storage, databases, networking, analytics, and application development services.
You will learn cloud computing fundamentals, Compute Engine, Cloud Storage, VPC Networking, IAM, Cloud SQL, Kubernetes, serverless computing, monitoring, and DevOps services.
Students, freshers, IT professionals, software developers, system administrators, and working professionals interested in cloud computing can join this course.
No, advanced programming knowledge is not mandatory. Basic computer knowledge and an understanding of operating systems and networking are helpful.
Basic computer skills and familiarity with networking or Linux concepts are beneficial. Beginners can also start with cloud computing fundamentals.
Yes, GCP offers beginner-friendly learning paths. Students can start with cloud fundamentals and gradually learn advanced cloud services through practical training.
The course covers Google Cloud Console, Compute Engine, Cloud Storage, VPC Network, Cloud IAM, Cloud SQL, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Cloud Build, and Cloud Monitoring.
Yes, students gain hands-on experience through practical lab sessions, cloud configurations, assignments, and real-world projects.
Students can work on projects such as Cloud Virtual Machine Deployment, Static Website Hosting, Cloud Database Management, and Containerized Application Deployment using GKE.
Both are leading cloud computing platforms. GCP offers services such as Compute Engine, Cloud Storage, BigQuery, and GKE, while AWS provides services such as EC2, S3, Redshift, and EKS.
Depending on your experience and career goals, you can explore certifications such as Cloud Digital Leader, Associate Cloud Engineer, Professional Cloud Architect, and Professional Cloud DevOps Engineer
You can explore career opportunities such as Cloud Engineer, Google Cloud Administrator, Cloud Support Associate, DevOps Engineer, and Cloud Infrastructure Engineer, depending on your skills and experience.
Yes, GCP skills are used across industries for cloud infrastructure, application deployment, data analytics, machine learning, and DevOps.
The learning duration depends on the course structure, prior knowledge, and practical experience. A structured training program with regular practice can help students build a strong foundation.
Raystech Academy provides career guidance, resume-building support, interview preparation, and placement assistance to help students prepare for relevant job opportunities.
Discuss your background, explore the course, and get help choosing a learning plan that fits your goals.
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