Name: Google Cloud Platform (GCP) Course in Faridabad
Availability: InStock
Rating: 4.8 (4850 reviews)

Google Cloud Platform Course in Faridabad - ITraining Institute

Certified Trainers Live Online & Classroom 100% Placement Support PAN India Access 4,850+ Students Trained

4,850+

Students Trained

32+

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4.8★

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1,200+

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📞 Limited seats for the current batch. Call +91-9821641408 or request a callback to confirm availability.

☁️ Google Cloud Platform (GCP) Course in Faridabad – Vertex AI + BigQuery Mastery, GKE and Gemini Integration, Professional Cloud Architect Certification Prep, and AI-Native Deployed Labs

✦ Google Cloud Platform is not “the third cloud” in India—it is the platform that owns the AI and data layer. While AWS and Azure lead raw job volume, GCP is the dominant platform for AI/ML workloads and data analytics, with ~14–18% market share in India and the strongest tooling in the category . The hiring data tells a nuanced story: GCP job openings are fewer in absolute terms (roughly half of AWS), but GCP roles are growing at 32% year-on-year—faster than AWS’s 17%—and GCP commands a +20–30% salary premium for AI/ML-heavy roles . LinkedIn data consistently shows AWS leading raw job count, Azure close behind, and GCP a clear third—but GCP’s smaller talent pool and AI/ML specialisation create the steepest premium per skill .

✦ The salary ladder is steep and AI-weighted. GCP cloud engineers earn a median of ₹17.5 LPA, with entry-level roles starting at ₹9.2 LPA and rising 450% to ₹50.6 LPA at lead/principal level . Freshers with GCP skills earn ₹5–9 LPA, mid-level (3–6 years) ₹14–26 LPA, and senior ₹30–55 LPA . GCP ML engineers earn ₹6–11 LPA as freshers and ₹15–30 LPA at mid-level—a direct premium for AI/ML specialisation . The Professional Cloud Architect (PCA) certification adds 12–18% once you have 2+ years of GCP design work, with multi-account landing zones adding 15–25% and security/governance depth adding 15–20% . Faridabad’s local market is active: 2,062+ GCP data engineer vacancies on Jooble , Tekskills hiring GCP DevOps Engineers for CI/CD, GKE, and Terraform , and BNP Paribas and Tata Motors offering Google Cloud internships at ₹19K–₹21K/month . At iTraining Institute, our Google Cloud Platform Course in Faridabad is built for freshers, career switchers, data analysts and engineers upgrading to GCP, and working professionals adding Vertex AI, BigQuery, and PCA certification skills—not casual learners. We teach Vertex AI, BigQuery, GKE, Gemini, IAM, VPC, Terraform, and ACE/PCA exam domains with hands-on AI-native labs, and every learner completes a deployed GCP capstone project—not a console-clicking exercise. Our curriculum is structured across seven career-focused modules.

📞 Call to Confirm Batch Seat: +91-9821641408 📝 Apply Now – Next Batch Starting

✅ Vertex AI + BigQuery + Gemini Mastery
✅ GKE & Cloud Run Container Orchestration
✅ ACE & PCA Certification Preparation
✅ Fresher Roles ₹5–9 LPA
✅ Online, Classroom & Hybrid Modes

⏳ Current batch seats are filling. To confirm availability and the next start date, call +91-9821641408 or request a callback.

🌟 Why GCP in Faridabad – 32% Job Growth, AI/ML Dominance, and the +20–30% Premium

➤ Most training institutes market GCP as “AWS-lite” or a generic cloud course. That framing does not reflect the three concrete career realities that define the 2026 market—and it does not help serious professionals decide whether to invest their time.

➤ 1. GCP owns the AI/ML and data layer: GCP is dominant in AI/ML workloads and data analytics, and it is the preferred platform for BigQuery (data warehousing), Vertex AI (ML), and GKE (Google created Kubernetes) . Gemini for Google Cloud is now the default AI layer for enterprise deals, and Google is tying cloud contracts directly to its in-house AI models . The new “Hello World” in 2026 is Generative AI Fundamentals and Gemini for Cloud Professionals—if you cannot deploy LLMs using Vertex AI, you are building legacy systems . 2. The talent gap is narrower, so the premium is steeper: GCP has fewer practitioners than AWS or Azure, and GCP roles grew 32% YoY—faster than AWS’s 17% . GCP commands a +20–30% salary premium for AI/ML-heavy roles, and GCP ML engineers earn ₹15–30 LPA at mid-level—higher than generalist cloud roles . “If you want to be paid a premium, go deep on GCP. Vertex AI, BigQuery, Gemini. Fewer people have these skills. Demand is exploding. That gap = your salary” . 3. Faridabad and the NCR are hiring for GCP data and DevOps roles: Faridabad has 2,062+ GCP data engineer vacancies on Jooble , Tekskills is hiring GCP DevOps Engineers for GKE, Terraform, and CI/CD , and BNP Paribas and Tata Motors are offering Google Cloud internships at ₹19K–₹21K/month . GCP Data Engineer roles in Faridabad pay ₹7–11 LPA for mid-level experience .

🤖

AI/ML Dominance

Vertex AI, BigQuery, and Gemini make GCP the default platform for AI-native workloads.

📈

32% Job Growth

GCP roles grew 32% YoY—faster than AWS's 17%—even as raw job volume remains smaller.

💰

+20–30% AI/ML Premium

GCP commands the steepest premium for AI/ML skills—Vertex AI and Gemini fluency is the pay lever.

📍

Faridabad Local Hiring

2,062+ GCP data engineer vacancies; Tekskills GCP DevOps roles; BNP Paribas ₹19K/month internships.

⚡ The AI-Native Advantage – Why GCP Skills Command the Steepest Premium

✦ The single most important mental model in GCP hiring is this: GCP is not a “cloud” course—it is an AI infrastructure course. GenAI cloud services grew 140–180% in a single year, and every cloud role now requires AI fluency . GCP is the platform where that fluency is deepest: Vertex AI for model training and deployment, BigQuery for data warehousing, Dataflow for pipelines, and Gemini for generative AI . The engineers who thrive are those who can connect data to models to deployment—not just provision VMs .

✦ Our course is structured around that AI-native philosophy. You do not stop at a generic cloud lab. Every learner completes a deployed GCP capstone project—with Vertex AI model deployment, BigQuery data pipelines, GKE orchestration, security review, cost report, and GitHub repository—plus documentation that explains what you built, why you built it that way, and how it performs. We prepare you for the two certifications that actually move pay: Associate Cloud Engineer (ACE) for foundational credibility (exam fee ~$125 / ₹11,950) , and Professional Cloud Architect (PCA) for the 12–18% premium once you have real design experience (exam fee ~$200 / ₹16,700) . And because AI/ML + cloud is the steepest premium, we integrate Gemini and generative AI workflows into every module, so you graduate with the skill stack that commands the +20–30% AI/ML premium .

⚖️ GCP vs AWS vs Azure – Which Cloud Platform Fits Your Goals?

➤ If you are comparing cloud platforms, the decision comes down to market demand, specialisation premium, and ecosystem fit. AWS leads raw job volume with ~52% of India’s cloud workloads and 3× more job openings than GCP, but it has a lower premium for generalist skills . Azure holds ~25% market share and is the leader in IT services, BFSI, and government, with 68% YoY growth in job openings . GCP holds ~14–18% market share and is the leader in AI/ML and data analytics, with 32% YoY job growth and a +20–30% premium for AI/ML-heavy roles . For maximum salary premium per skill, GCP is the highest-leverage choice—especially if you are targeting data engineering, ML platform, or AI infrastructure roles .

➤ Choose GCP if: You want the steepest salary premium for AI/ML and data skills; you are targeting data engineering, ML engineering, or AI infrastructure roles; you want to work with Vertex AI, BigQuery, and Gemini; or you want a skill set that fewer people have and more companies are bidding for . Choose AWS if: You want the maximum job volume and the broadest optionality (our AWS course covers this). Choose Azure if: You are targeting IT services, BFSI, or enterprise cloud roles (our Azure course covers this). Learn GCP as your second cloud if: You already have AWS or Azure and want to add the AI/ML premium—many senior engineers maintain AWS as primary + GCP for data/ML projects . At iTraining Institute, we offer GCP, AWS, and Azure tracks—and we will give you a structured assessment of which fits your goals during your first session.

📚 Google Cloud Platform Course Structure – Module-by-Module Roadmap

📘 Our Google Cloud Platform Course in Faridabad is structured as a seven-module AI-native roadmap, from GCP foundations to a deployed Vertex AI and BigQuery capstone with ACE and PCA exam preparation. Each module builds on the previous one, and every module includes hands-on lab exercises, data and AI pipeline tasks, and certification-aligned practice. The table below outlines each module and its outcomes.

Module	What You Will Build	Key Skills Covered	Duration
Module 1 – GCP Foundations	Deployed Compute Engine and Cloud Storage environment	Cloud models, GCP infrastructure, projects and folders, Compute Engine, Cloud Storage, VPC, IAM, gcloud CLI	4 weeks
Module 2 – BigQuery & Data Engineering	BigQuery data warehouse with Dataflow pipeline	BigQuery architecture, SQL analytics, partitioning, Dataflow, Dataproc, data warehousing	5 weeks
Module 3 – Vertex AI & Generative AI	Deployed Vertex AI model with Gemini integration	Vertex AI platform, model training and deployment, Gemini, prompt design, RAG on GCP, AI-native patterns	5 weeks
Module 4 – GKE & Cloud Run	GKE cluster with Cloud Run microservice	Google Kubernetes Engine, Cloud Run, Artifact Registry, container networking, production deployment	4 weeks
Module 5 – Networking, Security & IaC	Shared VPC with Terraform and VPC-SC	Shared VPC, VPC Service Controls, Cloud Armor, Cloud KMS, Terraform, organisation policies	4 weeks
Module 6 – ACE & PCA Certification Prep	Practice exam suite with architecture design drills	ACE and PCA exam domains, architecture patterns, cost optimisation, practice exams	5 weeks
Module 7 – AI-Native Capstone & Portfolio	Deployed GCP capstone with Vertex AI and BigQuery	Vertex AI + BigQuery integration, security review, cost report, GitHub portfolio, interview preparation	5 weeks

📖 Course Materials: In-house module workbooks, GCP lab guides, BigQuery SQL banks, Vertex AI project templates, GKE manifests, Terraform (google provider) configurations, ACE and PCA practice exams, cost optimisation frameworks, portfolio review rubrics, and interview preparation question banks. All materials accessible digitally.

📜 Industry Preparation – What Employers Actually Check

✦ GCP hiring is driven by demonstrated capability: a deployed AI-native capstone, ACE or PCA certification, fluency in Vertex AI, BigQuery, GKE, and Terraform, and the ability to explain data pipelines, model deployment, and cost decisions. Employers are not looking for “exam-passers” in isolation—they are looking for engineers who can connect data to models to production on GCP . The most common screening failure is a candidate with certifications but no deployed project, no AI/ML proof, and no cost narrative .

✦ At iTraining Institute, our preparation is lab-first and certification-aligned. Every learner completes a deployed GCP capstone project—with Vertex AI model deployment, BigQuery pipelines, GKE orchestration, security review, and a cost report—plus portfolio-ready documentation. We provide ACE and PCA exam preparation with practice exams, architecture design drills, and cost optimisation scenarios—the certifications that deliver the 12–18% PCA premium and the ACE entry credential . We also run mock GCP engineering interviews and resume optimisation targeted at GCP cloud engineer, data engineer, and ML engineer roles. For freshers, we focus on the ₹5–9 LPA role profile: GCP core services, BigQuery SQL, one Vertex AI project, ACE preparation, and the ability to explain what you built and why . For career switchers and experienced professionals, we focus on Vertex AI, GKE, Terraform, PCA, and AI-native architecture—the skills that command the ₹14–26 LPA mid-level bands and the +20–30% AI/ML premium .

✅ Deployed AI-Native Capstone: Vertex AI + BigQuery + GKE deployment with security review and cost report
✅ ACE & PCA Certification Prep: Practice exams, architecture design drills, and cost optimisation scenarios
✅ Mock GCP Interviews: Architecture walkthroughs, data pipeline design, ML deployment, and cost analysis
✅ Vertex AI & Gemini: Model training, deployment, prompt design, RAG on GCP, and AI-native patterns
✅ BigQuery & Data Engineering: SQL analytics, Dataflow pipelines, Dataproc, and data warehousing best practices
✅ GKE & IaC: Google Kubernetes Engine, Cloud Run, Terraform (google provider), and organisation policies
✅ Resume Optimisation: GCP role framing, AI/ML project highlights, and ATS-friendly formatting
✅ Salary-Band Preparation: Fresher (₹5–9 LPA) through mid-level (₹14–26 LPA) and senior (₹30–55 LPA) profiles
✅ Preparation Format: Live labs, architecture walkthroughs, mock interviews, and portfolio feedback with trainer guidance

💼 What GCP Opens Up – Cloud Engineer Roles, Data Engineering Paths, and AI-Native Careers

✦ Google Cloud Platform leads to three specific career paths, all tied to India’s data and AI infrastructure landscape. GCP cloud engineer roles: The median GCP cloud engineer salary is ₹17.5 LPA, with entry-level at ₹9.2 LPA, mid-level at ₹17.5 LPA, senior at ₹30.4 LPA, and principal at ₹50.6 LPA . Freshers with GCP skills earn ₹5–9 LPA, and GCP specialists command ₹28–48 LPA at senior levels . GCP data engineering and ML roles: GCP ML engineers earn ₹6–11 LPA as freshers and ₹15–30 LPA at mid-level . BigQuery and Dataflow skills are the prerequisite for any AI implementation, and data engineering is the fastest route into GCP’s premium band . AI-native architect and specialised roles: Professional Cloud Architect certification adds 12–18%, and multi-account landing zones add 15–25% . Principal/enterprise architects reach ₹55–95 LPA, with security and governance depth adding another 15–20% for regulated employers .

✦ Beyond these, GCP is valuable as a credential that compounds. Unlike tool-specific skills that date quickly, data architecture judgment, ML deployment discipline, and AI-native design thinking appreciate over time. Because Faridabad and the NCR produce thousands of IT graduates, a deployed GCP capstone with Vertex AI and BigQuery integration plus ACE/PCA certification sets you apart in interviews and applications. The competition for GCP roles is real—but the competition for engineers who can connect data to models to production on GCP is far less crowded—the 32% YoY job growth and +20–30% AI/ML premium prove it .

☁️

GCP Cloud Engineer Roles

Median ₹17.5 LPA; entry ₹9.2 LPA; senior ₹30.4 LPA; principal ₹50.6 LPA; freshers ₹5–9 LPA.

📊

Data Engineering & ML Paths

GCP ML engineers ₹6–11 LPA fresher, ₹15–30 LPA mid-level; BigQuery is the prerequisite for AI work.

🏗️

Architect Path

PCA adds 12–18%; landing zones add 15–25%; principal architects reach ₹55–95 LPA.

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Faridabad Local Market

2,062+ GCP data engineer vacancies; Tekskills GCP DevOps roles; BNP Paribas and Tata Motors internships.

👥 Who Should Enroll in the Google Cloud Platform Course in Faridabad?

➤ This course is designed for freshers, career switchers, data analysts and engineers upgrading to GCP, and working professionals adding Vertex AI, BigQuery, and Professional Cloud Architect certification skills—not casual learners. The most common profiles are fresh graduates targeting their first GCP cloud engineer or data engineer role (₹5–9 LPA), career switchers from data analytics or development backgrounds who need an AI-native GCP path, data analysts and engineers who want to add BigQuery and Vertex AI to their toolkit, and working professionals who need to add PCA certification, GKE, and Terraform to their credentials. We also work with AWS or Azure-certified engineers who want to add the GCP AI/ML premium.

➤ If you are a complete beginner, you start at Module 1 (GCP Foundations) and progress module by module. If you have some IT or data experience—or if you know SQL, Python, or another cloud—we offer a placement assessment to determine your entry point. If you know SQL or data analytics, you may move faster through Module 2 (BigQuery) and focus on Vertex AI, GKE, and certification. If you know another cloud platform, you may enter at Module 3 (Vertex AI) and build the AI-native and capstone layers. You do not need a computer science degree, but you do need regular lab practice, project completion, and willingness to work with data and models. The course is genuinely learnable, and the core skill set—GCP core + BigQuery + Vertex AI + ACE preparation—is bounded and achievable in 3–5 months for the certification delta, and 6–9 months for full production readiness. You can read more about our teaching approach on the about iTraining Institute page.

🏆 Why Choose iTraining Institute for GCP in Faridabad?

✦ At iTraining Institute, we do not teach GCP as a console-clicking tutorial or an exam-cram session. We teach it as an AI-native, data-first, certification-aligned engineering skill. Small batch sizes ensure you get architecture review and data pipeline feedback time in every session, and trainers provide production-level feedback—correcting BigQuery SQL, Vertex AI model configuration, GKE manifests, Terraform templates, and cost decisions when they slip, rather than letting weak deployments become habits. You do not just complete exercises; you deploy a real AI-native GCP capstone.

✦ Our curriculum is built around the seven-module AI-native roadmap, with dedicated focus on GCP core services, BigQuery and data engineering, Vertex AI and Gemini, GKE and Cloud Run, networking and IaC, ACE and PCA exam domains, and capstone portfolio development. We offer online, classroom, and hybrid modes, with weekday, weekend, and evening batches to fit working professionals’ schedules. Placement support includes resume optimisation, architecture walkthrough coaching, mock GCP engineering interviews, and access to our hiring partner networks in the NCR and IT services ecosystem.

✅ Vertex AI + BigQuery + Gemini Mastery: The exact stack that commands the +20–30% AI/ML premium—taught side by side .
✅ ACE & PCA Certification Prep: The entry credential plus the 12–18% architect premium .
✅ AI-Native Deployed Labs: Real GCP environments with Vertex AI deployment, BigQuery pipelines, and cost reporting.
✅ GKE & Terraform Focus: Google Kubernetes Engine and IaC—the skills every GCP DevOps role screens for .
✅ Data Engineering Depth: BigQuery, Dataflow, and Dataproc—the prerequisite for AI implementation on GCP .
✅ Mock GCP Interviews: Architecture walkthroughs, data pipeline design, ML deployment, and cost analysis.
✅ Salary-Band Preparation: Fresher ₹5–9 LPA through mid-level ₹14–26 LPA and senior ₹30–55 LPA profiles .
✅ Small Batch Sizes: Maximum lab review and data pipeline feedback time, personalised correction.

👨‍🏫 Meet Our GCP Trainers

✦ Learning GCP from a trainer who has deployed production AI and data systems on Google Cloud and understands the hiring bar at product companies, AI-first startups, and GCCs makes all the difference. Our GCP faculty combine hands-on engineering experience with years of teaching. A trainer stays with your cohort through the capstone, so feedback is consistent and cumulative.

👨‍🏫

Mr. Arvind Rao

Lead GCP Architecture Trainer

15+ years of experience architecting and operating production GCP environments. Former principal cloud architect at an IT services major. Specialises in PCA preparation, landing zones, and multi-region design.

👩‍🏫

Ms. Sneha Kulkarni

Senior Vertex AI & BigQuery Trainer

10+ years of experience in Vertex AI, BigQuery, and data engineering on GCP. Specialises in model deployment, RAG on GCP, data pipelines, and AI-native architecture.

👨‍🏫

Mr. Vikram Singh

GKE & IaC Trainer

10+ years of experience in GKE, Cloud Run, Terraform, and GCP DevOps. Specialises in Kubernetes operations, IaC automation, and CI/CD pipelines on Google Cloud.

⭐ What Our GCP Students Say

✦ We are rated 4.8 out of 5 based on 1,240+ Google reviews. Here is what some of our recent GCP learners have said.

★★★★★

“I was a data analyst with SQL knowledge and no cloud experience. The capstone changed everything—I built a BigQuery data warehouse, deployed a Vertex AI model with Gemini, orchestrated it on GKE, and documented the cost model. I landed a GCP data engineer role at an NCR analytics firm at ₹11 LPA. The ACE preparation was the differentiator.”

— Suresh M., GCP Data Engineer

★★★★★

“I was an AWS-certified engineer stuck at ₹9 LPA. The Vertex AI and BigQuery modules gave me the AI-native story I needed. The mock interviews and architecture walkthroughs were brutally honest—and exactly what I needed. I moved to ₹18 LPA within five months of finishing and passing PCA.”

— Neha R., GCP Cloud Engineer

★★★★☆

“I am a career switcher from a non-cloud background. The seven-module structure made the path clear, and the lab reviews caught my bad BigQuery habits early. The Gemini module was the edge—I could talk about RAG on GCP and AI-native deployment in interviews, and that stood out.”

— Arjun S., Career Switcher

🗓️ Upcoming GCP Batch Schedule – Faridabad & Online

🕒 We offer weekday, weekend, and evening batches in online and classroom modes. Seats are limited per batch. To confirm availability and the next start date, please call +91-9821641408 or request a callback.

Batch Type	Level	Timing	Mode
Weekday Regular	Beginner – Module 1	7:00 AM – 9:00 AM	Offline (Faridabad)
Weekend Fast-Track	Intermediate – Module 3	10:00 AM – 1:00 PM	Online Live
Evening Intensive	Advanced – Module 5	6:00 PM – 8:30 PM	Hybrid

❓ Frequently Asked Questions – Google Cloud Platform Course in Faridabad

Why study Google Cloud Platform in Faridabad?

GCP is the dominant platform for AI/ML workloads and data analytics in India, with ~14–18% market share and the strongest tooling in Vertex AI, BigQuery, and GKE . GCP roles grew 32% YoY—faster than AWS’s 17%—and GCP commands a +20–30% salary premium for AI/ML-heavy roles . Faridabad has 2,062+ GCP data engineer vacancies, with Tekskills hiring GCP DevOps Engineers and BNP Paribas and Tata Motors offering Google Cloud internships at ₹19K–₹21K/month . Fresher GCP roles range from ₹5–9 LPA, with mid-level at ₹14–26 LPA and senior at ₹30–55 LPA .

Is GCP hard to learn for beginners?

GCP is learnable by anyone willing to practice in labs consistently. The initial learning curve—core services, IAM, and BigQuery SQL—is manageable with structured instruction. The harder part is AI-native production readiness: Vertex AI, GKE, Terraform, security, and cost optimisation. Our course is structured in seven progressive modules, with a capstone that forces you to deploy a real Vertex AI and BigQuery environment. The core skill set—GCP core + BigQuery + one Vertex AI project + ACE preparation—is bounded and achievable in 3–5 months for the certification delta, and 6–9 months for full production readiness.

Should I get ACE or PCA certification?

Both, in that order, if you are starting fresh. Associate Cloud Engineer (ACE) is the foundational credential—exam fee ~$125 (₹11,950)—and validates deployment and operations skills . Professional Cloud Architect (PCA) is the highest-ROI credential—exam fee ~$200 (₹16,700)—and adds 12–18% to salary once you have 2+ years of GCP design work . Our course prepares you for both, so you graduate with the entry credential and the architect premium.

What jobs can I get after this course?

Graduates target GCP Cloud Engineer, GCP Data Engineer, GCP DevOps Engineer, ML Engineer (Vertex AI), and Cloud Architect (Junior) roles. Fresher roles range from ₹5–9 LPA, mid-level (3–6 years) ₹14–26 LPA, and senior ₹30–55 LPA . The most common first roles are GCP cloud engineer at an IT services firm, data engineer at an analytics company, or DevOps associate at a GCC. Top companies hiring GCP-certified professionals include Google India, Accenture, TCS, Infosys, Wipro, and AI-first startups .

Is the course available online for students outside Faridabad?

Yes. We offer live interactive online batches with recordings available for revision. Students across India and international time zones can join. You can switch between online and classroom modes with prior notice.

How can I enroll?

You can call +91-9821641408, email info@itraininginstitute.com, or fill out the application form. Our admissions team will confirm batch availability and the next start date.

🌐 Explore More Courses at iTraining Institute

🌏 Besides Google Cloud Platform, iTraining Institute offers a wide range of professional programs. You can explore our technology and language courses, including AWS cloud computing, Microsoft Azure cloud, multi-cloud, DevOps engineering, cybersecurity, blockchain development, game development, database management, artificial intelligence, machine learning, data science, data analytics, web development, app development, UI/UX design, digital marketing, and Indian and foreign language courses. To learn more about our institute, visit the iTraining Institute homepage.

☁️ Ready to Access GCP Cloud Engineer Roles, AI/ML Premium Salaries, and AI-Native Cloud Careers? Start Today.

✦ Join Faridabad’s most focused Google Cloud Platform Course. Vertex AI + BigQuery + Gemini mastery, GKE and Terraform deep dive, ACE and PCA certification preparation, hands-on AI-native deployed labs, mock GCP interviews, and salary-band preparation—designed for freshers, career switchers, data professionals, and working professionals who want a specific, achievable path to GCP cloud and data roles. Limited seats per batch—call +91-9821641408 or request a callback today.

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Upcoming Batch Schedule

Google Cloud Platform Course in Faridabad Live instructor-led classes — online from anywhere in India, or on-campus at our Noida centre. Batch sizes stay small so every student gets personal attention, and seats move fast.

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