Google Cloud Training Program in Vadodara

Google Cloud Training : Step By Step For Beginners to Advanced

Google Cloud Training Overview

Our Google Cloud Training provides hands-on experience in using Google Cloud Platform (GCP) services for computing, storage, networking, and machine learning. This course helps students, IT professionals, and developers gain practical skills in deploying, managing, and scaling applications on the cloud, preparing them for certification and industry projects.

Prerequisites

Google Account
Basic Knowledge of Cloud Computing
Understanding of IT Infrastructure
GCP Console Navigation
IAM Configuration
Programming Skills
Billing Setup

Google Cloud Training Includes

Compute Services
Storage and Databases
Networking
Big Data and Machine Learning
Developer Tools
Management Tools
Security

Key Highlights

Scalability
Global Infrastructure
Enterprise-Grade Security
Big Data and AI/ML Capabilities
Open Source Friendly
Developer-Friendly Tools
Robust Cloud Ecosystem

Course Content

Learning Resources

Google Cloud Training Platform(Google Cloud Skills Boost, Coursera)
Official Documentation and Tutorials
Practice and Hands-On Labs

Key Course Content of Google Cloud:

Google Cloud Fundamentals:

Introduction to Google Cloud
Core GCP Services
Networking and Security
Data and Analytics

Architecting with Google Cloud Platform:

Design and Implement GCP Infrastructure
Compute Services
Storage and Databases
Networking
Security and Compliance
Monitoring and Logging

Data Engineering

Data Engineering on Google Cloud
Data Storage Solutions
Machine Learning and AI

Machine Learning with TensorFlow on Google Cloud

Introduction to TensorFlow
Google Cloud AI Services
Advanced Machine Learning Techniques

Database Services:

Cloud SQL
Cloud Spanner
BigQuery
Firestore
Cloud Bigtable
Cloud Datastore
Cloud Memorystore
Cloud SQL for MySQL, PostgreSQL, and SQL Server

Road Map

1. Introduction to Cloud & GCP fundamentals
2. GCP Console walkthrough & billing setup
3. Identity & Access Management (IAM) basics
4. Compute: Compute Engine (VMs) — launch & manage
5. Compute: App Engine & Cloud Run (serverless)
6. Storage options: Cloud Storage, buckets & lifecycle
7. Databases: Cloud SQL (MySQL/Postgres) hands-on
8. Databases: Firestore & Cloud Bigtable overview
9. Networking: VPC, subnets, routes, and firewalls
10. Load Balancing, Cloud CDN and DNS
11. Monitoring & logging with Cloud Monitoring & Logging
12. IAM advanced: service accounts, roles & best practices
13. Security: Cloud Armor, KMS & data encryption
14. Compute autoscaling and instance groups
15. Containers: Docker basics & GKE introduction
16. Kubernetes on GCP: Deployments, Services & Scaling
17. CI/CD: Cloud Build, Cloud Source Repos & pipelines
18. Infrastructure as Code: Terraform on GCP
19. Serverless functions: Cloud Functions & event-driven apps
20. Messaging & streaming: Pub/Sub & Dataflow basics
21. BigQuery: data warehousing, SQL & performance best practices
22. Data ingestion & ETL: Dataflow & Cloud Storage pipelines
23. ML on GCP: AutoML & Vertex AI overview
24. Hands-on lab: Build & deploy a sample web app on GCP
25. Cost optimisation & resource tagging

26. Backup, snapshots & disaster recovery strategies
27. API management & Cloud Endpoints
28. Logging analytics & alerting playbooks
29. Real-world project #1: Scalable web application
30. Real-world project #2: Data pipeline & BigQuery analytics
31. Performance tuning & QPS testing
32. Identity federation & SSO integration
33. Compliance & governance on GCP
34. Advanced networking: VPC peering & Interconnect
35. Observability: tracing with Cloud Trace & Profiler
36. Migration strategies: lift-and-shift & refactor
37. Hybrid & multi-cloud patterns on GCP
38. Troubleshooting workshops & debug sessions
39. Preparation: sample exam questions & mock tests
40. Resume & interview coaching for cloud roles
41. CloudOps: automation with scripts and SDKs
42. GitHub/Gitlab workflows integrated with GCP
43. Logging & security audits (best practices)
44. Final capstone: design + deploy a production-ready solution
45. Project presentation & code review
46. Post-course support: doubt clearing sessions
47. Certification exam booking guidance
48. Placement assistance & employer introductions
49. Continuous learning resources & curated reading
50. Alumni community & project showcase
51. Optional advanced modules (AI/ML, DataOps)
52. Course wrap-up, certificate issuance & next steps

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Your Instructor

Learn from an industry expert with proven excellence in training, consulting, and mentoring.

Mr. Adarsh Patel

Corporate Trainer & Business Consultant 15+ Years Experience

Education: MCA (2009), B.Com (Computer) (2006)

Experience: Over 15 years delivering corporate training, consulting, and mentoring across IT and digital transformation domains.

Recognized for designing practical, project-based learning experiences and helping 2000+ students & professionals build strong careers in technology.

Programming: PHP, Python, Java, C/C++, Dart, Android Development
Frameworks: Laravel, ReactJS, Flutter, ASP.NET
Databases: MySQL, MongoDB, SQL Server, Oracle
Digital Tools: SEO, CRM, ERP, WordPress, AI Tools (ChatGPT, Gemini)
Special Skills: Software Consulting, Digital Marketing, Project Management

Delivered 200+ Expert Lectures and 80+ Workshops across universities, training institutes, and corporate organizations. Medium of Communication will be in English, Hindi or Gujarati.

Hands-on coding bootcamps for web and app development
Industry seminars on ERP, CRM, and Digital Transformation
Special workshops for entrepreneurs on business automation

Advised startups and enterprises on technology adoption, ERP/CRM solutions, and workflow automation.

150+ consulting assignments with SMEs and corporates
Expert in business process mapping and software deployment
Guided companies on digital marketing and automation strategy

Recognized with multiple Appreciation Certificates from universities and corporates
Collaborated with 50+ organizations for training & development
Trained 2000+ students and professionals successfully
Invited as keynote speaker at IT summits and business forums

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Frequently Asked Questions — Google Cloud Training

Who should join this Google Cloud training?

This course is designed for IT students, developers, system administrators, DevOps engineers, data engineers and anyone wanting a practical path to Google Cloud Platform (GCP) skills and certifications.

What are the prerequisites?

Basic understanding of networking and OS concepts, familiarity with the command line, and a Google account. Programming knowledge (Python or similar) is recommended for data and ML modules.

Which certification paths does the course prepare me for?

The course covers material useful for Professional Cloud Architect, Cloud Engineer, Data Engineer and Associate Cloud Engineer certifications — with targeted modules and practice labs.

What is the course duration and modes available?

Duration varies by program: typical classroom or live-online batches run 8–12 weeks (part-time) or 4–6 weeks (fast-track). Modes: Live Online, Classroom Training and Recorded Video Lectures.

Are there hands-on labs and projects?

Yes — the training includes hands-on labs on GCP console, Compute Engine, Cloud Storage, BigQuery, Cloud Functions, IAM, networking, and at least two real-world projects.

Do you provide placement or interview support?

Arth Training Institute provides resume guidance, mock interviews and placement support for eligible students. Contact us for current placement assistance details.

How much are the fees and are discounts available?

Fees depend on batch type (regular, weekend, fast-track) and group discounts. Please use the "Request for Free Demo Lecture" form or call +91 9374969705 for exact pricing and offers.

Will I get a certificate after completing the course?

Yes — students receive a course completion certificate from Arth Training Institute. We also guide students for official Google Cloud certification exams (Google charges the certification exam fee separately).

How can I book a free demo or contact you?

Use the demo request form on this page or call/WhatsApp +91 9374969705 and email contact@arthtraininginstitute.com.

You are eligible for the following post after Training

Google Cloud Engineer
Google Cloud Architect
Google Cloud Developer
Google Cloud Data Engineer
Google Cloud Security Engineer
Google Cloud DevOps Engineer
Google Cloud AI Engineer
Google Cloud Solutions Specialist
Google Cloud Certified Professional
Google Cloud Platform Consultant

Request for Free Demo Lecture

Fees Structure

Fees Structure will be depends on the what type of course you are joining, for example if you are joining for regular batch for 3 month course then fees will be 15000/- if you are joining in group then fees discount will be applicable, for weekend batch fees will be different, For Faculty Development Program and Industrial Training Fees will be different.