Cloud Computing Course

Cloud Computing CourseClassroom batchPlacement SupportInternship Support

Cloud Computing Course

Name: Skillonit
Address: 3rd Floor, Shrishantul Tower, Chikhali Rd, Buldana, Maharashtra, 443002, IN
Telephone: +91 7083384100

Build practical cloud infrastructure and operations skills with Skillonit's Cloud Computing Course in India. The program is designed for beginners, students, graduates, software developers, system administrators, network professionals, support engineers, working professionals, freelancers and entrepreneurs who want a structured path into modern cloud technology. The learning journey begins with cloud concepts, Linux, networking, virtualization, identity, compute, storage and databases. It then moves into AWS, Microsoft Azure and Google Cloud service families, followed by architecture, security, containers, Kubernetes, serverless computing, Infrastructure as Code, CI/CD, observability, reliability, cost management and migration. Guided labs and projects help learners connect individual services into complete, documented solutions. This is a practical Cloud Engineer Course, not a promise that memorising service names or receiving a course certificate automatically creates a job. Learners are expected to practise, troubleshoot, document decisions, control costs, secure resources and explain why an architecture is suitable for a particular workload. Skillonit may provide trainer guidance and career-assistance services according to the active batch policy, while employment outcomes depend on the learner's complete profile and market conditions. Learn cloud fundamentals, service models, deployment models and the shared-responsibility principle.

Explain cloud characteristics, service models, deployment models and shared responsibility. Design basic virtual networks with address planning, subnets, routing, internet access and controlled private connectivity. Deploy and manage compute, object storage, block storage, managed databases and application services. Apply least privilege through users, groups, roles, service identities and policy evaluation. Select between virtual machines, containers, managed platforms and serverless services for a stated workload.

Duration24 weeks

LanguagesHindi | English | Marathi

Rating4.7/5

Learners1,260

In-campus classroom training

Learners who want face-to-face teaching, fixed batches, and local classroom guidance.

Included in this mode

Instructor-led classroom sessionsIn-person doubt solvingComputer lab practiceBatch-wise assignments and tests

Learning flow

1Classroom orientation

2Guided practical sessions

3Weekly mentor review

4Project and certificate assessment

Course Overview

Understand cloud platformsDeploy applicationsPractice cloud projectsPrepare for cloud careers

Course Overview

Explain cloud characteristics, service models, deployment models and shared responsibility.

Design basic virtual networks with address planning, subnets, routing, internet access and controlled private connectivity.

Deploy and manage compute, object storage, block storage, managed databases and application services.

Apply least privilege through users, groups, roles, service identities and policy evaluation.

Complete Cloud Computing Course Syllabus

Active module

Foundation

5 lessons

1Establish Linux, networking, security and command-line foundations.

2Learn cloud characteristics, service models, regions, availability zones and responsibility boundaries.

3Provision identity, virtual networks, compute, storage and database resources in controlled labs.

4Compare AWS, Azure and Google Cloud services through equivalent architecture tasks.

5Automate environments with Git and Infrastructure as Code.

Upcoming Batch Schedule

Selected batch

Classroom Batch

Start DateUpcoming

TimingsRegular live sessions

Duration18 weeks

ModeClassroom

Trainer Profile - Cloud Computing Course

Guides learners through cybersecurity fundamentals, practical security awareness, and responsible digital practices.

Atul Tripathi focuses on practical Cloud Computing training with a learner-first approach. Sessions combine clear concept explanation, demonstrations, lab-based practice, and interview-oriented guidance so students understand how the skill is applied in real work.

Concept clarityProject practicePortfolio mentoring

Verified experience with cloud architecture, operations, security or DevOps.

Current practical knowledge of the services included in the active syllabus.

Ability to explain networking, identity, cost and reliability rather than only console steps.

Guidance for architecture diagrams, lab troubleshooting, project documentation and interviews.

Clear mentoring boundaries, doubt-resolution channels and response expectations.

Visible credentials or profile links only with consent and verification.

A certificate proves production competence

A certificate can document course completion. Practical competence requires projects, troubleshooting, documentation, security and operational reasoning.

Course-completion certificate

Assignment and project-based validation

Useful for resume and portfolio building

Certificate details subject to current course policy

Certificate ID

SKL-CLO-2026

Certificate of Completion

Cloud Computing Specialist

This certifies that the student has completed Skillonit’s Cloud Computing training with practical tasks, quizzes, and project assessment.

Presented to

Student Name

For successful completion of Cloud Computing Course

Completion Date

18 Jun 2026

★

Authorized Signature

Verification-ready certificate preview for LMS completion.

Program at a Glance

Explain cloud characteristics, service models, deployment models and shared responsibility.

Design basic virtual networks with address planning, subnets, routing, internet access and controlled private connectivity.

Deploy and manage compute, object storage, block storage, managed databases and application services.

Apply least privilege through users, groups, roles, service identities and policy evaluation.

Select between virtual machines, containers, managed platforms and serverless services for a stated workload.

Use Terraform and version control to create repeatable infrastructure configurations.

Build simple CI/CD workflows that validate and deploy application or infrastructure changes.

Configure logs, metrics, dashboards, alerts and operational runbooks for a cloud workload.

Plan backup, recovery, scaling and high-availability options according to stated objectives.

Estimate and monitor costs, apply tags or labels, remove unused resources and explain major cost drivers.

Document an architecture using diagrams, assumptions, risks, decisions and evidence from testing.

Compare AWS, Azure and Google Cloud service families without assuming exact one-to-one equivalence.

Tools students practice

Cloud ComputingCloudCloud foundationsAWS and Azure basicsContainers and deploymentCloud capstone project

Start Building Practical Cloud Computing Skills

This course blends clear concepts, practical training, guided projects, quizzes, and career-focused assessment to help learners build confidence and move toward real opportunities.

Learn core foundations

Practice with guided tasks

Complete project assessment

Prepare for career roles

Module 24: Capstone Architecture, Portfolio and Presentation

The final capstone combines identity, networking, compute or managed platforms, storage or databases, security, automation, observability, cost control and recovery. Learners submit source configuration, an architecture diagram, README, assumptions, risk notes, testing evidence, cleanup evidence and a short presentation. The project should be realistic enough to demonstrate reasoning but small enough to operate safely within the approved lab policy. Deliver a documented end-to-end cloud solution. Explain architecture trade-offs and provider choices. Present evidence of security, reliability, cost and operational readiness.

Role-focused learning

Live project practice

Portfolio-ready skills

Cloud Career Roadmap for Beginners

Build Linux, networking, security and scripting foundations. Learn one provider deeply enough to deploy and troubleshoot a complete small workload. Use a second and third provider to understand service families and terminology, not just console navigation. Practise Infrastructure as Code, version control, monitoring, budgets and documentation.

Placement Support Includes

Build Linux, networking, security and scripting foundations.

Learn one provider deeply enough to deploy and troubleshoot a complete small workload.

Use a second and third provider to understand service families and terminology, not just console navigation.

Practise Infrastructure as Code, version control, monitoring, budgets and documentation.

Complete projects that show architecture reasoning, not only screenshots.

Prepare role-specific interview explanations and troubleshooting scenarios.

Apply for entry-level support, operations, cloud, DevOps or platform roles that match the full profile.

Continue building experience toward security, SRE, architecture, data or FinOps specialisations.

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