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    Cloud Computing Training Course in Dehradun

    • by Edward Norton
    • English
    • (720 Rating)

    Course Description

    In today’s fast-changing digital world, cloud computing is one of the most important skills for IT professionals. Companies across the world rely on cloud technology to store data, run applications, and manage networks. If you want to start a career in IT or boost your skills, a Cloud Computing Training Course in Dehradun can be the perfect choice.
    At Grandeur Net Academy, we offer expert training programs in cloud computing designed for beginners as well as professionals. Our courses are simple to understand, practical, and focused on real-world skills.

    Course Features
    • Job Assistance: 100%
    • Total Modules: 12+
    • Tools Covered: 12+
    Additional Benefits
    • PDP Sessions: 15+
    • Projects: 5+
    • LMS Access: 1yr

    Course Curriculum

    Comprehensive curriculum designed to make you industry ready with hands-on projects and real-world scenarios.

    11

    Modules

    12+

    Lessons

    5+

    Projects

    6 Months

    Duration

    1. Understand what DevOps is and how it differs from traditional IT and Agile.
    10 min
    2. Learn the phases of the Software Development Life Cycle (SDLC).
    10 min
    3. Explore how DevOps integrates into each SDLC phase to improve delivery.
    10 min
    4. Discover DevOps roles, culture, and collaboration between teams.
    10 min
    1. Basics of Networking: LAN, WAN, Internet, Intranet
    10 min
    2. OSI and TCP/IP models (focus on layers: Transport, Network, Application)
    10 min
    3. IP Addressing (IPv4, IPv6)
    10 min
    4. Subnetting basics
    10 min
    5. DNS and DHCP
    10 min
    6. NAT (Network Address Translation) and Port Forwarding
    10 min
    7. TCP vs UDP
    10 min
    8. HTTP/HTTPS, FTP, SSH, Telnet
    10 min
    9. Firewalls and Security Groups
    10 min
    10. Routing Basics
    10 min
    11. VPNs and Tunneling
    10 min
    12. Load Balancers (L4 vs L7)
    10 min
    13. Proxy vs Reverse Proxy
    10 min
    14. TLS/SSL, Certificates
    10 min
    15. Network Troubleshooting (ping, traceroute, netstat, nslookup telnet)
    10 min
    1. What is an Operating System?
    10 min
    2. Kernel, Shell, Process, Threads
    10 min
    3. Basic Linux Boot Process
    10 min
    4. Linux Filesystem Hierarchy (/bin, /etc, /var, /home, /tmp, etc.)
    10 min
    5. File and Directory Management (ls, cd, cp, mv, rm, find, etc.)
    10 min
    6. File Permissions and Ownership (chmod, chown, umask)
    10 min
    7. Text Processing (cat, less, grep, awk, sed, cut, sort, uniq)
    10 min
    8. Package Managers
    10 min
    9. Process Management (ps, top, htop, kill, nice, jobs, bg, fg)
    10 min
    10. Networking Commands (ifconfig,ip,ping,netstat,ss,curl,wget)
    10 min
    11. Disk and Filesystem Management (df,du,mount,umount, fdisk,lsblk)
    10 min
    12. Archive and Compression Tools (tar, gzip, gunzip, zip, unzip)
    10 min
    13. System Logs (journalctl, /var/log/)
    10 min
    14. System Services and systemctl
    10 min
    15. SSH and Remote Access
    10 min
    16. File Transfers (scp,rsync)
    10 min
    17. Permissions & Security (sudo,visudo,SELinux/AppArmor)
    10 min
    18. Shell Scripting Basics (Bash)
    10 min
    19. Variables, conditionals, loops, functions
    10 min
    20. Environment Variables and .bashrc, .profile, .env
    10 min
    21. Crontab and Scheduling Jobs
    10 min
    1. What is Version Control?
    10 min
    2. Initialize and manage repositories using git init, clone, add, commit, status, log
    10 min
    3. Use .gitignore to exclude files from tracking
    10 min
    4. Work with branches using git branch, checkout, merge, rebase
    10 min
    5. Resolve merge conflicts during team collaboration
    10 min
    6. Connect to remote repositories using git remote, push, pull, fetch
    10 min
    7. View commit history and file changes using git log, blame, reflog
    10 min
    8. Undo changes using git reset, revert, stash, cherry-pick
    10 min
    9. Integrate Git with CI/CD tools (Jenkins, GitHub Actions, etc.)
    10 min
    10. Perform code reviews and pull requests on GitHub/GitLab
    10 min
    11. Configure SSH keys for secure Git operations
    10 min
    1. Understand Python syntax, indentation, variables, and data types
    10 min
    2. Use control structures: if, else, for, while, break, continue
    10 min
    3. Work with functions, arguments, return values, and *args / **kwargs
    10 min
    4. Use lists, dictionaries, tuples, sets, and basic operations
    10 min
    5. Work with files in Python using open(), read(), write(), and with statements for efficient file handling.
    10 min
    6. Perform error handling using try, except, finally
    10 min
    7. Create and use virtual environments (venv)
    10 min
    8. Install and manage packages with pip and requirements.txt
    10 min
    9. Execute shell/system commands using os, subprocess modules
    10 min
    10. Work with environment variables using os.environ
    10 min
    11. Parse JSON and CSV files
    10 min
    12. Automate repetitive tasks like backups, file renaming, and log rotation
    10 min
    13. Use Python for API calls with requests module (GET, POST, etc.)
    10 min
    14. Schedule scripts with cron jobs
    10 min
    15. Write simple Python scripts to manage AWS, Docker, and Linux systems (via CLI or SDK)
    10 min
    16. Using Boto3 library for AWS
    10 min
    1. Understand the key CI/CD concepts: Continuous Integration, Continuous Delivery, and Continuous Deployment.
    10 min
    2. Learn pipeline structure: stages, jobs, steps, triggers
    10 min
    3. Set up and configure Jenkins pipelines using Jenkinsfile
    10 min
    4. Use Jenkins plugins for Git, Docker, testing, and artifact handling
    10 min
    5. Integrate SonarQube for code quality analysis and quality gates
    10 min
    6. Use GitHub Actions to automate testing, builds, and deployments
    10 min
    7. Deploy applications using GitHub Actions with SSH to remote servers
    10 min
    8. Configure SSH keys and secure access for remote deployments
    10 min
    9. Understand GitOps and ArgoCD for declarative, Git-based deployment
    10 min
    10. Deploy applications and manage Kubernetes workloads using ArgoCD
    10 min
    11. Automate environment promotion: Dev → QA → Staging → Prod
    10 min
    12. Manage build artifacts with GitHub Releases, Nexus, or JFrog Artifactory
    10 min
    13. Secure pipeline secrets using GitHub Secrets, Jenkins Credentials, or ArgoCD Vault integration
    10 min
    14. Set up pipeline status notifications (Slack, Email, etc.)
    10 min
    1. Understand configuration management and why Ansible is agentless
    10 min
    2. Install Ansible and set up inventory files (/etc/ansible/hosts or dynamic inventory)
    10 min
    3. Write basic playbooks using YAML syntax
    10 min
    4. Understand tasks, modules, handlers, and variables
    10 min
    5. Use common Ansible modules: apt, yum, copy, template, file, service, command, shell, git
    10 min
    6. Create and use roles for reusable playbooks (ansible-galaxy init)
    10 min
    7. Manage secrets using Ansible Vault
    10 min
    8. Use ansible.cfg for custom configuration
    10 min
    9. Run ad-hoc commands for quick tasks (ansible all -m ping)
    10 min
    10. Looping, conditionals, and when clauses in playbooks
    10 min
    11. Use templates with Jinja2 for dynamic file generation
    10 min
    12. Tag tasks and control execution flow
    10 min
    13. Integrate Ansible into CI/CD pipelines such as Jenkins or GitHub Actions for automated configuration and deployment.
    10 min
    14. Use Ansible to provision and configure cloud infrastructure (e.g., EC2, security groups)
    10 min
    15. Troubleshoot with verbose output (-v, -vvv) and logs
    10 min
    1. Understand Docker images and containers
    10 min
    2. Create Docker images using Dockerfile
    10 min
    3. Use Docker CLI commands: run, build, exec, logs, ps, stop, rm
    10 min
    4. Manage container data using Volumes (-v, named, bind mounts)
    10 min
    5. Connect containers using Docker Networks (bridge, host)
    10 min
    6. Implement Multi-stage builds to reduce image size
    10 min
    7. Use .dockerignore to optimize builds
    10 min
    8. Use Docker Compose to define and run applications with multiple containers.
    10 min
    9. Define services, volumes, networks in docker-compose.yml
    10 min
    10. Scale services using docker-compose up --scale
    10 min
    11. Understand Docker Swarm basics for container orchestration
    10 min
    12. Push/pull images from Docker Hub or private registry
    10 min
    13. Use Docker in CI/CD pipelines for build, test, and deploy
    10 min
    14. Troubleshoot containers using logs, exec, inspect
    10 min
    1. Understand Kubernetes architecture: Master, Worker nodes, Control Plane, etcd
    10 min
    2. Learn the core components of Kubernetes: API Server, Scheduler, Controller Manager, Kubelet, and Kube Proxy.
    10 min
    3. Run local clusters using Minikube or Kind for testing
    10 min
    4. Use kubectl to interact with the cluster (apply, get, logs, exec, etc.)
    10 min
    5. Work with Pods, ReplicaSets, Deployments, and Services
    10 min
    6. Write and deploy resources using YAML manifests
    10 min
    7. Use Namespaces to isolate environments or teams
    10 min
    8. Apply Network Policies to secure inter-pod communication
    10 min
    9. Set up and configure Ingress Controllers for routing traffic (e.g., NGINX Ingress)
    10 min
    10. Manage user access with RBAC (Role-Based Access Control)
    10 min
    11. Create and manage ConfigMaps and Secrets for external configuration
    10 min
    12. Understand and apply Helm Charts for packaging Kubernetes apps
    10 min
    13. Compare StatefulSets and Deployments for managing stateful and stateless applications, respectively.
    10 min
    14. Utilize Volumes, Persistent Volumes (PVs), and Persistent Volume Claims (PVCs) to manage persistent data storage.
    10 min
    15. Implement Horizontal Pod Autoscaling (HPA) for dynamic scaling
    10 min
    16. Monitor and troubleshoot pods, deployments, and cluster state
    10 min
    1. Understand the concept of Infrastructure as Code (IaC) and how Terraform is used in DevOps for provisioning and managing infrastructure.
    10 min
    2. Install and configure Terraform CLI
    10 min
    3. Define resources using HCL (HashiCorp Configuration Language)
    10 min
    4. Use providers like AWS, Azure, GCP
    10 min
    5. Learn Terraform file structure: main.tf, variables.tf, outputs.tf, terraform.tfvars
    10 min
    6. Use terraform init, plan, apply, destroy for lifecycle management
    10 min
    7. Configure input variables and output values
    10 min
    8. Use conditionals, loops (for_each, count), and built-in functions
    10 min
    9. Manage state with local and remote backends (e.g., S3 + DynamoDB for state locking)
    10 min
    10. Use Terraform modules to organize reusable code
    10 min
    11. Implement workspaces for multi-environment setups (dev/staging/prod)
    10 min
    12. Automate provisioning using local-exec and remote-exec provisioners
    10 min
    13. Integrate Terraform with HashiCorp Vault for secure secrets management
    10 min
    14. Integrate Terraform with CI/CD pipelines (Jenkins, GitHub Actions, etc.)
    10 min
    1. What is cloud computing?
    10 min
    2. Cloud deployment models: Public, Private, Hybrid
    10 min
    3. Cloud service models: IaaS, PaaS, SaaS
    10 min
    4. Benefits of cloud: scalability, elasticity, pay-as-you-go, high availability
    10 min
    5. EC2: Launch, connect, manage instances
    10 min
    6. AMI creation and custom images
    10 min
    7. EBS: Volumes, snapshots, and lifecycle management
    10 min
    8. S3: Buckets, object storage, versioning, lifecycle rules
    10 min
    9. Cloudfront: CDN to cache and deliver content globally
    10 min
    10. IAM: Users, roles, groups, policies, MFA
    10 min
    11. VPC: Subnets, route tables, internet gateways, NAT, peering
    10 min
    12. The ELB manages traffic distribution, while the ASG automatically adjusts the number of instances based on demand.
    10 min
    13. RDS and Aurora for managed relational databases
    10 min
    14. Route 53 for DNS and domain management
    10 min
    15. ACM for Certificate Management
    10 min
    16. CloudWatch for monitoring logs and metrics
    10 min
    17. CloudTrail for auditing API calls
    10 min
    18. ECS and EKS for container orchestration
    10 min
    19. Lambda for serverless functions
    10 min
    20. API Gateway for managing REST APIs
    10 min
    21. Use Secrets Manager and SSM Parameter Store to securely store and manage sensitive information.
    10 min
    22. Elastic Beanstalk for Deploy and manage web apps
    10 min
    23. AWS Amplify : Host and deploy fullstack or frontend web apps
    10 min
    24. Building CI/CD pipelines using CodePipeline, CodeBuild, CodeDeploy
    10 min
    25. Storing artifacts in S3, ECR (Elastic Container Registry)
    10 min
    26. Triggering deployments using GitHub Actions, Jenkins, or GitLab CI
    10 min
    27. Billing and Cost Optimization
    10 min
    28. Using AWS with Terraform and Ansible
    10 min

    Student Reviews

    What our students say about this course.

    Cloud Computing Training Course in Dehradun

    Course Includes:

    • Duration: 6 Months
    • book icon Modules: 12+
    • Tools Covered: 12+
    • Projects: 5+
    Start Now

    Why Choose Cloud Computing Training?

    Cloud computing allows businesses to use software and hardware over the internet instead of local systems. This technology is widely used in industries like IT, banking, healthcare, and e-commerce. Learning cloud computing can help you:

    Build a strong career in IT

    Work with top companies

    Learn to manage cloud platforms like AWS, Microsoft Azure, and Google Cloud

    Gain skills in cloud security, storage, and computing

    By enrolling in a Professional Program in Cloud Computing in Dehradun, you will learn everything from basics to advanced cloud concepts.

    What We Offer at Grandeur Net Academy

    At Grandeur Net Academy, our goal is to make cloud computing easy and practical. Our courses are designed to help students gain both knowledge and hands-on experience.

    1. Cloud Computing Training Course in Dehradun

    Our main course focuses on teaching cloud concepts, deployment models, and services. You will learn:

    Basics of cloud computing

    Types of cloud: Public, Private, and Hybrid

    Cloud service models: IaaS, PaaS, SaaS

    Cloud security and compliance

    Cloud deployment techniques

    This course is ideal for beginners who want a strong foundation in cloud computing.

    2. Cloud Computing Testing Training in Dehradun

    Testing is an essential part of any cloud project. Our cloud computing testing training helps students learn:

    How to test cloud applications

    Performance and security testing in the cloud

    Monitoring cloud infrastructure

    Using automation tools for cloud testing

    This course prepares you to become a cloud testing expert and handle real-time projects confidently.

    3. Professional Program in Cloud Computing in Dehradun

    This program is for students and professionals who want to master cloud computing. It includes:

    Advanced cloud architecture

    Multi-cloud and hybrid cloud management

    Cloud migration techniques

    DevOps integration with cloud

    Real-time projects and case studies

    By the end of this professional program, you will have the skills to work as a cloud engineer or cloud administrator in top IT companies.

    Why Choose Grandeur Net Academy for Cloud Computing Courses?

    There are many training centers, but Grandeur Net Academy is different. Here’s why we are considered the best Cloud Computing Course in Dehradun:

    Experienced Trainers – Our trainers are IT experts with years of industry experience. They explain concepts in simple English and provide real-life examples.

    Hands-on Projects – We believe in learning by doing. Students get to work on real cloud projects to gain practical experience.

    Updated Curriculum – Cloud technology changes quickly. We keep our course content up-to-date with the latest industry trends.

    Placement Support – After completing our Cloud Computing Course in Dehradun, students get placement guidance and job support in IT companies.

    Flexible Learning – We offer online and offline classes, so you can learn at your own pace.

    Who Can Join Our Cloud Computing Courses?

    Our courses are designed for:

    IT students looking to learn cloud computing

    Professionals seeking career growth in IT

    Software developers wanting to learn cloud testing

    Anyone interested in understanding cloud technologies

    No matter your background, our trainers will make learning easy and practical.

    Benefits of Learning Cloud Computing at Grandeur Net Academy

    .

    Boost Your Career – Cloud computing skills are highly demanded in IT jobs.

    Work with Top Companies – Many companies use cloud platforms, and certified professionals are preferred.

    Learn Latest Tools – Gain expertise in AWS, Azure, Google Cloud, and cloud management tools.

    Hands-on Experience – Work on real projects that enhance your skills.

    Affordable Courses – Get top-quality training without spending too much.

    By completing the best Cloud Computing Course in Dehradun, you can confidently start your career or upgrade your IT skills.

    Our Teaching Methodology

    At Grandeur Net Academy, we follow a practical learning approach:

    Interactive Sessions: Students can ask questions and clarify doubts in real-time.

    Practical Labs: Work on cloud platforms to understand real-world applications.

    Project-Based Learning: Complete projects to showcase your skills to employers

    Regular Assessments: Track your progress and improve continuously.

    We focus on making cloud computing easy to understand and fully applicable in the IT industry.

    Course Modules Overview

    Our Cloud Computing Training Course in Dehradun includes:

    Introduction to Cloud Computing

    Cloud Deployment Models and Service Models

    Virtualization Techniques

    AWS Cloud Basics and Hands-On