Cloud ComputingIntermediate

Google Cloud Platform (GCP) Training for Corporate Teams

BigQuery ยท Kubernetes Engine ยท Compute Engine ยท Cloud IAM โ€” the data-first cloud, mastered in 2 days

India's most hands-on GCP training programme. 60%+ lab time on real Google Cloud accounts, aligned to the Associate Cloud Engineer certification. Delivered at your office or online, anywhere in India.

2 Days ยท 16 hours
10โ€“25 participants
On-site / Online
Custom Pricingper cohort
๐Ÿ“Š
BigQuery First
Industry-leading analytics at petabyte scale
๐Ÿณ
Kubernetes Native
GKE โ€” the gold standard for container orchestration
๐Ÿค–
AI/ML Ready
Vertex AI and BigQuery ML built into curriculum
๐Ÿ†
ACE Aligned
80%+ first-attempt certification pass rate

Why Your Team Should Learn Google Cloud

GCP is the fastest-growing cloud platform among Indian data and engineering teams โ€” and for good reason. BigQuery, Vertex AI, and GKE are the industry benchmarks for analytics, machine learning, and containerised applications.

While AWS has the broadest market share and Azure dominates Microsoft shops, GCP wins decisively for data-heavy workloads. If your team works on analytics pipelines, real-time data processing, or ML model deployment, GCP is the right investment.

Google's Kubernetes Engine (GKE) is also the reference implementation of Kubernetes โ€” skills learned on GKE transfer directly to AWS EKS and Azure AKS, making it the most versatile container platform to learn first.

#1

Cloud for data analytics

60%+

Hands-on lab time

80%+

ACE pass rate

2 Days

Full certification prep

2-Day Workshop Schedule

4 sessions ยท 16 hours ยท Real GCP accounts ยท ACE exam prep included

1
Session 19:00 AM โ€“ 12:30 PM

GCP Foundations & Core Services

  • โ–ถGCP console, projects, billing, and resource hierarchy
  • โ–ถCompute Engine: VMs, instance templates, managed instance groups
  • โ–ถCloud Storage: buckets, object lifecycle, access controls
  • โ–ถCloud IAM: roles, service accounts, permissions, best practices
  • โ–ถLab: Deploy a scalable web app on Compute Engine with load balancer
2
Session 21:30 PM โ€“ 5:00 PM

Containers & Kubernetes Engine

  • โ–ถContainers and Docker fundamentals
  • โ–ถGoogle Kubernetes Engine (GKE): clusters, nodes, pods, services
  • โ–ถCloud Run: serverless container deployments
  • โ–ถArtifact Registry and CI/CD pipeline basics
  • โ–ถLab: Deploy a containerised microservice on GKE with auto-scaling
3
Session 39:00 AM โ€“ 12:30 PM

BigQuery & Data Services

  • โ–ถBigQuery architecture: datasets, tables, partitioning, clustering
  • โ–ถWriting and optimising SQL queries in BigQuery
  • โ–ถBigQuery ML: training models without leaving SQL
  • โ–ถPub/Sub for event-driven architectures
  • โ–ถLab: Analyse a 10M-row dataset in BigQuery; build a simple ML model
4
Session 41:30 PM โ€“ 5:00 PM

Networking, Monitoring & Certification Prep

  • โ–ถVPC networks, subnets, firewall rules, Cloud NAT
  • โ–ถCloud Operations Suite: Logging, Monitoring, Alerting
  • โ–ถCloud Deployment Manager / Terraform basics on GCP
  • โ–ถACE exam strategy, practice questions, study plan
  • โ–ถLab: Set up VPC peering, configure alerts, and review ACE mock exam

What Your Team Will Be Able to Do After

โ˜๏ธ

Deploy GCP Infrastructure

Provision and manage Compute Engine VMs, Cloud Storage, and networking resources with confidence

๐Ÿณ

Run Containers on GKE

Deploy, scale, and manage containerised applications on Google Kubernetes Engine in production

๐Ÿ“Š

Analyse Data with BigQuery

Write optimised SQL queries on billion-row datasets and build basic ML models without code

๐Ÿ”

Secure with Cloud IAM

Implement least-privilege IAM policies, service accounts, and audit logging for enterprise security

๐Ÿ“ก

Monitor & Observe

Set up dashboards, alerts, and logging pipelines with Cloud Operations Suite

๐Ÿ†

Pass the ACE Exam

Complete exam-aligned curriculum with mock tests โ€” 80%+ first-attempt pass rate for our participants

Who Is This For?

  • Data engineers building pipelines on BigQuery or Dataflow
  • Backend / DevOps engineers deploying containerised apps on GKE
  • ML engineers using Vertex AI and wanting to manage GCP infrastructure
  • IT architects planning a GCP migration or multi-cloud strategy
  • Software developers wanting Google Cloud certification for career growth
  • Analytics teams moving from on-premise databases to BigQuery

What's Included

  • Real GCP sandbox accounts for all participants
  • 16 hours instructor-led training (2 full days)
  • 60%+ hands-on lab time on live GCP infrastructure
  • ACE exam-aligned curriculum with mock test
  • Course materials, lab guide, and cheat sheets
  • 30-day post-training Q&A via WhatsApp group
  • Technovids certificate of completion
  • Pre-training skills assessment + post-training report

What Past Participants Say

โ˜…โ˜…โ˜…โ˜…โ˜…
โ€œOur team had been struggling with BigQuery optimisation for months. Two days with Technovids and we cut our query costs by 60%. The BigQuery ML session alone was worth the entire investment.โ€
RD
Rohan Desai
Data Engineering Lead, AnalyticsFirst, Pune
โ˜…โ˜…โ˜…โ˜…โ˜…
โ€œThe GKE lab was the best part โ€” we deployed a real microservice architecture and broke it intentionally to understand failure modes. No other training does that. 4 of our 12 engineers passed ACE within 45 days.โ€
KS
Kavitha Subramanian
DevOps Manager, CloudNative Systems, Hyderabad
โ˜…โ˜…โ˜…โ˜…โ˜…
โ€œWe chose GCP for Vertex AI and needed our engineers to know the platform deeply. Technovids customised the programme to include our specific architecture patterns. Excellent.โ€
SN
Siddharth Nair
Head of Engineering, DataOps Pvt. Ltd., Bangalore

Frequently Asked Questions

What is covered in the GCP training programme?+

The programme covers GCP core services including Compute Engine (VMs), Cloud Storage, BigQuery (data analytics), Kubernetes Engine (GKE), Cloud IAM, Pub/Sub, and Cloud Run. We also cover GCP project organisation, billing, monitoring with Cloud Operations, and exam prep for the Associate Cloud Engineer certification.

Do participants need prior cloud experience?+

Basic IT literacy is sufficient for our Foundations track. The Associate Cloud Engineer track requires familiarity with Linux commands and basic networking concepts. We assess your team before the programme and adjust the content level accordingly.

Is this programme aligned to Google certification exams?+

Yes. The programme is aligned to the Google Associate Cloud Engineer (ACE) exam objectives. The final session includes a mock exam, exam strategy tips, and a personalised study plan for each participant pursuing certification.

Why choose GCP over AWS or Azure?+

GCP is the leading platform for data-intensive workloads โ€” BigQuery, Dataflow, and Vertex AI are industry benchmarks. For teams working on analytics, ML pipelines, or containerised applications on Kubernetes, GCP is the strongest platform. Many data engineering and ML teams in India prefer GCP for its superior data tools.

How many participants per batch?+

We work best with groups of 10โ€“25 participants for focused, hands-on learning. For larger teams (25+), we run parallel batches or phased cohorts. Smaller groups (under 10) can join our scheduled open batches.

Can the programme be delivered at our office?+

Yes. We deliver on-site across Bangalore, Mumbai, Hyderabad, Chennai, Pune, and Delhi NCR. We provide all lab environments โ€” participants need only a laptop with a browser. Online delivery via Zoom or Teams is also available.

What cloud accounts are used during the training?+

We provide GCP sandbox accounts for all participants during the training. These accounts have appropriate service quotas for the lab exercises. No personal credit cards or existing GCP accounts are needed.

What is the pricing for GCP corporate training?+

Pricing is per cohort (not per seat), making it cost-effective for teams of 10+. A 2-day GCP programme for a team of 15 is typically priced between โ‚น1.2Lโ€“โ‚น1.6L depending on customisation. Contact us for a tailored quote.

Bring GCP Training to Your Team

We run this programme for corporate batches across India โ€” on-site at your office or online. Tell us about your team and we will send a custom quote within 24 hours.

โœ“ Custom batch pricingโœ“ On-site or online deliveryโœ“ GCP sandbox accounts included๐Ÿ’ฌ WhatsApp Us