Google Cloud Fundamentals
Core Google Cloud services for compute, storage, networking, IAM and data.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 09 Jan 2027 · 16 hours · 2 days
Google Cloud Fundamentals
Duration: 16 hours · 2 days
Next batch: Sat, 09 Jan 2027
Format: Online live · Bengaluru classroom
Modules: 7 · Topics: 34
Level: Beginner
Fee: ₹7,499
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Google Cloud Fundamentals | Sat, 09 Jan 2027 | Online live | Weekend (Sat) | 3 Saturdays | Enquire |
| Google Cloud Fundamentals | Wed, 10 Mar 2027 | Online live | Weekday | 2 days | Enquire |
Soaring demand, and where it takes you
Google Cloud adoption continues to grow, especially for data and AI workloads, increasing demand for foundational skills.
Become an expert
Roles this programme prepares you for:
Become a Cloud Engineer
Provisions and runs workloads on Google Cloud.
- Navigate projects, folders and IAM
- Run VMs on Compute Engine
- Deploy containers on Cloud Run
About the course
Core Google Cloud for teams getting started: resource hierarchy and IAM, Compute Engine, containers and Cloud Run, Cloud Storage, networking basics, BigQuery and monitoring.
Core Google Cloud services for compute, storage, networking, IAM and data.
Why should I attend?
Engineers new to Google Cloud
Developers
IT administrators
Data professionals starting on GCP
Prerequisites
General IT awareness; no prior Google Cloud experience
Level
Beginner
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 16 hours · 2 days
Course fee (open batch): ₹7,499
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Navigate projects, folders and IAM
- Run VMs on Compute Engine
- Deploy containers on Cloud Run
- Store data in Cloud Storage
- Configure basic VPC networking
- Query data in BigQuery and monitor resources
Skills you will gain
Foundations
Compute
Data and ops
Tools and platforms covered
Google CloudCompute EngineCloud Run
Google Cloud Storage
Google BigQueryGoogle Kubernetes EngineCourse curriculum
M01 Google Cloud overview
- Regions and zones
- Resource hierarchy
- Billing
- Free tier and credits
- Cloud Shell
🧪 Hands-on: Create and organise a project
M02 Identity and access
- IAM roles
- Service accounts
- Best practices
- Custom roles
- Organisation policies
🧪 Hands-on: Configure least-privilege access
M03 Compute
- Compute Engine
- Cloud Run
- GKE overview
- Instance types
- Serverless choices
🧪 Hands-on: Deploy a VM and a container
M04 Storage and networking
- Cloud Storage classes
- VPC basics
- Firewall rules
- Load balancing overview
- Cloud SQL overview
🧪 Hands-on: Build a simple network
M05 Data
- BigQuery basics
- Loading data
- Querying
- Public datasets
- Cost of queries
🧪 Hands-on: Analyse a public dataset
M06 Operations
- Cloud Monitoring and Logging
- Budgets
- Alerts
- Error reporting
- Cost alerts
🧪 Hands-on: Set up monitoring and budgets
M07 Capstone: deploy a simple app
- Containerise
- Deploy to Cloud Run
- Connect storage
- Monitor
🧪 Hands-on: Deploy and monitor a small web app on Google Cloud
Hands-on projects
Hosted application
A containerised app on Cloud Run with storage, monitoring and budget alerts.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Google Cloud Fundamentals. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Is this suitable for beginners?
Yes; basic IT knowledge is enough.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹7,499 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
16 hours · 2 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Core Google Cloud for teams getting started: resource hierarchy and IAM, Compute Engine, containers and Cloud Run, Cloud Storage, networking basics, BigQuery and monitoring.
What is Google Cloud Fundamentals?
Core Google Cloud services for compute, storage, networking, IAM and data.
Who this course is for
Engineers new to Google Cloud, Developers, IT administrators, Data professionals starting on GCP.
What you will be able to do
Navigate projects, folders and IAM. Run VMs on Compute Engine. Deploy containers on Cloud Run. Store data in Cloud Storage. Configure basic VPC networking. Query data in BigQuery and monitor resources.
Career paths
Roles this course supports include Cloud Engineer, Cloud Support Engineer, Developer on GCP. Google Cloud adoption continues to grow, especially for data and AI workloads, increasing demand for foundational skills.
Cloud guides
AWS vs Azure vs Google Cloud: Which Should Your Team Learn?
The three largest public clouds share core concepts but differ in strengths and ecosystem.
Serverless vs Containers
Two popular ways to run applications in the cloud, with different trade-offs.
AWS Certifications Explained
An overview of AWS certification levels and how to choose.
What Is AWS IAM?
AWS Identity and Access Management controls who can do what in an AWS account.