DevOps Course
Attain Dexterity in DevOps Tools to implement them in the real world.
- Master AWS in DevOps with comprehensive and proficient training.
- Participatory workshop for online and offline training.
- Develop innovation with experimental learning via hands-on capstone projects.
- Training under real-time industry experts.
World-Class Instructors
1:1 with Industry Mentors
55% Avg. Salary Hike
Interview Preparation
DevOps Course
Enhance your career in automation with a DevOps course with its vital tools. Techpragna empowers passionate career aspirants and working professionals with evergreen tools such as Docker, Jenkins, Kubernetes, Terraform, Ansible, AWS, and more, followed by unlimited career and placement support.
Key Characteristic Features
- Practical Skills without lab sessions
- Adherence to best DevOps practices for automation with security, continuity in integration and deployment, etc.
- Gain hands-on experience with real-world deployment scenarios and infrastructure automation projects.
- Participatory sessions in the classroom and online training in DevOps bootcamps.
- Work on practical projects dealing with CI/CD pipelines, Dockerized applications, Kubernetes deployments, and so on.
- Dexterity in industry-leading DevOps tools.
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Program Curriculum – Google Cloud (16 Modules)
Module 1: Introduction to DevOps and Linux Fundamentals
- What is DevOps? Principles, culture, and lifecycle
- DevOps vs Traditional Software Development
- Linux installation and environment setup
- Linux file system and basic commands
- Users, groups, permissions, and package management
- Mini Task: Configure a Linux environment and perform basic administration tasks
Module 2: Linux Administration and Shell Scripting
- File and directory management
- Process and service management
- Networking commands
- Bash shell scripting fundamentals
- Variables, loops, conditions, and functions
- Mini Task: Build a Linux automation script
Module 3: Git and GitHub
- Version control concepts
- Installing and configuring Git
- Repository creation and management
- Branching, merging, and conflict resolution
- Working with GitHub repositories
- Mini Task: Manage a collaborative GitHub project
Module 4: Identity & Access Management (IAM)Module 4: Build Automation with Maven
- Introduction to Build Tools
- Maven installation and configuration
- Project structure and POM.xml
- Dependency management
- Build lifecycle and plugins
- Mini Task: Build and package a Java application using Maven
Module 5: Continuous Integration with Jenkins
- Introduction to CI/CD
- Installing and configuring Jenkins
- Creating Freestyle and Pipeline jobs
- Jenkins Pipeline (Declarative & Scripted)
- Integrating Jenkins with GitHub
- Mini Task: Build an automated CI pipeline
Module 6: Docker Fundamentals
- Introduction to Containers
- Installing Docker
- Docker Images and Containers
- Dockerfile creation
- Docker Volumes and Networks
- Docker Compose basics
- Mini Task: Containerize a web application
Module 7: Kubernetes Essentials
- Introduction to Kubernetes Architecture
- Pods, ReplicaSets, Deployments
- Services and Ingress
- ConfigMaps and Secrets
- Scaling and rolling updates
- Mini Task: Deploy an application on Kubernetes
Module 8: Infrastructure as Code with Terraform
- Infrastructure as Code (IaC) concepts
- Terraform installation and configuration
- Providers and Resources
- Variables and Outputs
- State Management
- Provisioning AWS resources
- Mini Task: Automate cloud infrastructure provisioning
Module 9: Configuration Management with Ansible
- Introduction to Configuration Management
- Installing Ansible
- Inventory files
- Playbooks and Roles
- Variables and Templates
- Automating server configuration
- Mini Task: Configure multiple servers using Ansible
Module 10: AWS Cloud for DevOps
- Introduction to AWS
- EC2, VPC, IAM
- S3 and EBS
- Load Balancer and Auto Scaling
- Security Groups
- Cloud deployment strategies
- Mini Task: Deploy an application on AWS
Module 11: CI/CD Pipeline Implementation
- End-to-end CI/CD pipeline
- Git → Jenkins → Docker → Kubernetes workflow
- Automated build, test, and deployment
- Rollback strategies
- Deployment best practices
- Mini Task: Implement a complete CI/CD pipeline
Module 12: Monitoring and Logging
- Introduction to Monitoring
- Prometheus setup and configuration
- Grafana dashboards
- Logging fundamentals
- ELK Stack overview
- Alerting and performance monitoring
- Mini Task: Create monitoring dashboards
Module 13: DevOps Security (DevSecOps)
- DevSecOps fundamentals
- Security in CI/CD pipelines
- Secrets management
- Vulnerability scanning
- Docker and Kubernetes security
- Security best practices
- Mini Task: Secure a deployment pipeline
Module 14: Advanced Kubernetes and Cloud Deployment
- Helm Charts
- Kubernetes namespaces
- StatefulSets and DaemonSets
- Horizontal Pod Autoscaling
- Persistent Volumes
- Production deployment strategies
- Mini Task: Deploy a production-ready Kubernetes application
Module 15: Automation and Real-Time DevOps Project
- End-to-end infrastructure automation
- Multi-stage CI/CD implementation
- Cloud resource automation
- Production deployment workflow
- Troubleshooting real-world DevOps scenarios
- Mini Task: Enterprise DevOps automation project
Module 16: Capstone Project, GitHub Portfolio & Interview Preparation
- Enterprise DevOps Capstone Project
- GitHub portfolio creation
- Resume building for DevOps roles
- Mock technical interviews
- DevOps interview questions and scenarios
- Industry best practices and career guidance
- Final Project: Design, automate, deploy, monitor, and manage a complete cloud-native application using modern DevOps tools.
Master In-Demand Skills with Practical, Industry-Based Learning
What Role Does a DevOps Professional Play?
Azure DevOps offers some of the common career opportunities in the job market.
DevOps Engineer
DevOps Engineer designs an application including automation and manages integration and deployment continuously.
A Cloud Engineer
develops an application that features scalability, security, and platform independence.
A Site Reliability Engineer
uses every possible method to improve the system’s consistency, performance, and availability through automation and continuous monitoring, and takes proactive steps to improve the system further.
Platform Engineer
Creates and maintains internal platforms for developers, improving the deployment environment and enabling developers to deliver applications efficiently.
Infrastructure Automation Engineer
Uses infrastructure as code, required for automated infrastructure provisioning and configuration.
CI/CD Engineer
Checks the application’s functionality after development and testing before launch.
A Containerization & Kubernetes Engineer
manages containerized applications at scale, ensuring Software and IT Operations work collaboratively.
Cloud Operations Engineer
Writes automation scripts, monitors cloud environments, and manages deployments on AWS, Azure, or GCP to collaborate with software and system engineering.
Skills covered: AWS in DevOps
Linux Administration and Command Line
Shell Scripting (Bash)
Git and GitHub Version Control
Continuous Integration and Continuous Deployment (CI/CD)
Jenkins Pipeline Creation and Automation
Docker Containerization
Kubernetes Orchestration and Cluster Management
Infrastructure as Code (IaC) with Terraform
Configuration Management with Ansible
Cloud Infrastructure Management (AWS)
Tools You will Learn in DevOps
Accelerating Career Services for DevOps Course
100% Career Guidance right – interactive training to live project assistance.
Hands-on experience in industry-based projects
Resume building using trending keywords.
Personalized mentorship
Job-oriented training
Personalized mock interviews
How our program works
Enhance Your DevOps Skills to Transform Your Career Path
- Learn DevOps from industry experts and gain practical skills with real-world use cases.
- Hands-on training with the latest DevOps tools, technologies, and automation practices.
- Work on real-time projects and build a strong portfolio to showcase your expertise.
- Earn industry-recognized certification to validate your skills and boost your career opportunities.
- Get placement assistance, resume guidance, and interview preparation to land your dream DevOps job.
DevOps Course  Projects Covered
Cloud Computing Projects Covered
Land Your Dream Job Our Alumni
What You’ll Learn Learn
Accelerate your career in cloud computing with our Cloud Computing Training at Tech Pragna in Bangalore. This comprehensive course equips you with the skills and techniques to design, deploy, and manage cloud infrastructure—perfect for both beginners and working professionals
Cloud Computing Training – Key Features
- AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, and Terraform
- Cloud deployment, configuration, security, virtualization, and performance optimization
- Hands-On Projects: Work on real-world cloud scenarios and practical implementations
- Understand cloud services like EC2, S3, RDS, Lambda, Load Balancers, and VPCs
- Live online and offline interactive sessions from top industry professionals
- Guaranteed placement support through our career advancement services

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Cloud Computing Course Curriculum
Module 1: Introduction to Cloud Computing
What is Cloud Computing? Evolution and Benefits
Cloud Service Models (IaaS, PaaS, SaaS, FaaS)
Deployment Models (Public, Private, Hybrid, Multi-Cloud)
Key Cloud Providers (AWS, Azure, GCP) and Their Market Share
Cloud Computing Use Cases Across Industries
Cloud Economics (CAPEX vs. OPEX, TCO)
Career Paths (Cloud Architect, DevOps Engineer, Solutions Architect)
Hands-on: Creating a Free Tier Account on AWS/Azure/GCP
Module 2: Cloud Infrastructure & Virtualization
Virtualization Basics (Hypervisors: Type 1 vs. Type 2)
Compute Resources (VMs, Containers, Serverless)
Storage Options (Block, Object, File Storage)
Networking in Cloud (VPC, Subnets, Load Balancers)
Cloud Security Fundamentals (Shared Responsibility Model)
Hands-on: Launching a VM on AWS EC2 / Azure VM
Lab: Configuring Network Security Groups (NSGs)
Case Study: Netflix’s Cloud Migration
Module 3: Cloud Storage & Databases
Cloud Storage Services (AWS S3, Azure Blob, GCP Cloud Storage)
Database Types (RDBMS vs. NoSQL vs. NewSQL)
Managed DB Services (AWS RDS, Azure SQL, GCP Cloud SQL)
Big Data Solutions (AWS Redshift, Azure Synapse, GCP BigQuery)
Data Migration Strategies (AWS DMS, Azure Data Factory)
Hands-on: Uploading Data to S3 and Setting Up an RDS Instance
Lab: Implementing a Serverless Database (AWS DynamoDB)
Disaster Recovery and Backup Solutions
Module 4: Identity & Access Management (IAM)
IAM Fundamentals (Users, Groups, Roles, Policies)
Multi-Factor Authentication (MFA)
Federated Identity (SAML, OAuth, OpenID Connect)
Privileged Access Management (PAM)
Hands-on: Configuring IAM Policies on AWS/Azure
Lab: Setting Up SSO with Azure AD / AWS SSO
Audit and Compliance (AWS CloudTrail, Azure Monitor)
Case Study: Capital One Data Breach Lessons
Module 5: Cloud Networking & Content Delivery
Virtual Private Cloud (VPC) Architecture
Cloud DNS and Load Balancing (ALB, NLB, CDN)
Hybrid Cloud Connectivity (VPN, Direct Connect, ExpressRoute)
Network Security (NACLs, Firewalls, WAF)
Hands-on: Building a Multi-Tier Architecture in AWS/Azure
Lab: Configuring a CDN (AWS CloudFront / Azure CDN)
Monitoring Network Performance (CloudWatch, Azure Network Watcher)
Case Study: How Spotify Uses Cloud Networking
Module 6: Cloud Security & Compliance
Shared Responsibility Model Deep Dive
Data Encryption (At Rest, In Transit, In Use)
Security Tools (AWS GuardDuty, Azure Security Center)
Compliance Standards (GDPR, HIPAA, SOC 2)
Hands-on: Encrypting S3 Buckets and EBS Volumes
Lab: Implementing a Cloud HSM (AWS KMS / Azure Key Vault)
Penetration Testing in Cloud (AWS Inspector, Azure Pentest)
Case Study: SolarWinds Attack and Cloud Implications
Module 7: DevOps & Cloud Automation
Infrastructure as Code (IaC) with Terraform/AWS CDK
CI/CD Pipelines (AWS CodePipeline, Azure DevOps)
Configuration Management (Ansible, Chef, Puppet)
Container Orchestration (Kubernetes vs. ECS vs. AKS)
Hands-on: Deploying Apps with Terraform
Lab: Building a CI/CD Pipeline for a Web App
Monitoring and Logging (CloudWatch, Azure Log Analytics)
Case Study: How Airbnb Uses Cloud Automation
Module 8: Serverless Computing
Serverless Architecture (AWS Lambda, Azure Functions)
Event-Driven Patterns (SQS, SNS, EventBridge)
Microservices vs. Monoliths in Cloud
Hands-on: Creating a Serverless API (API Gateway + Lambda)
Lab: Building a Chatbot with Serverless (AWS Lex)
Cost Optimization in Serverless
Debugging and Monitoring Serverless Apps
Case Study: How Coca-Cola Uses Serverless
Module 9: Cloud Migration & Hybrid Cloud
- Migration Strategies (Rehost, Refactor, Rearchitect)
- Tools (AWS Migration Hub, Azure Migrate)
- Legacy System Modernization
- Hands-on: Migrating an On-Prem VM to Cloud
- Lab: Setting Up a Hybrid Connection (AWS Outposts / Azure Stack)
- Cost Analysis and Optimization (AWS Cost Explorer, Azure Cost Mgmt)
- Case Study: Dropbox’s Cloud Exit (Lessons Learned)
- Future Trends (Edge Computing, Quantum Cloud)
Module 10: Big Data & AI in Cloud
Big Data Services (AWS EMR, Azure HDInsight)
Machine Learning in Cloud (AWS SageMaker, Azure ML)
AI Services (Rekognition, Cognitive Services)
Hands-on: Training an ML Model on Cloud
Lab: Building a Data Pipeline (AWS Glue / Azure Data Factory)
IoT and Cloud Integration (AWS IoT Core, Azure IoT Hub)
Case Study: How Tesla Uses Cloud AI
Ethics in Cloud AI
Module 11: Advanced Cloud Architectures
Multi-Cloud Strategies (Anthos, AWS Outposts)
High Availability (HA) and Fault Tolerance
Disaster Recovery (Pilot Light, Warm Standby)
Hands-on: Designing a Multi-Region Architecture
Lab: Auto-Scaling and Load Testing
Cloud-Native Design Patterns
Case Study: Netflix’s Chaos Engineering
Preparing for Cloud Certifications (AWS/Azure/GCP)
Module 12: Capstone Project & Career Prep
Real-World Cloud Project (Migration, SaaS App Deployment)
Building a Cloud Portfolio (GitHub, Blog)
Resume Tips for Cloud Roles
Mock Interviews (Scenario-Based Questions)
Certifications Roadmap (AWS/Azure/GCP)
Freelancing vs. Corporate Cloud Careers
Cloud Communities and Open Source Contributions
Final Presentation: Architecting a Cloud Solution
Career Services
Placement Assistance
Personalized Guidance
Mock Interview Preparation
One-on-One Mentoring session
Career Oriented Seesions
Resume & LinkedIn Profile Building
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FAQs Regarding DevOps Course
What skills and tools will we learn in DevOps?
 Our DevOps course covers every skill and tool according to industry requirements. Log on to https://techpragna.in/devops/
How do AWS DevOps differ from Azure DevOps?
AWS DevOps automates application development and deployment and manages infrastructure. Azure DevOps streamlines all the processes.
Does your DevOps cover programming and scripting languages?
Yes, our DevOps Course equips you with programming and scripting languages required for performing successful automation.
What are the recommended programming languages for DevOps
The recommended programming languages for DevOps are Python and Java.
What are the skillsets expected from a DevOps professional?
The skillsets expected from a DevOps professional are
- Â Â Â Linux
- Â Â Â Cloud Computing
- Â Â Â CI/CD
- Â Â Â IAC
- Â Â Â Security and monitoring
What salary do DevOps professionals draw?
The annual salary drawn by DevOps professionals varies from Rs. 9 to 12 LPA.Â
Cloud Computing Training FAQs
What tools will I use in cloud computing?
Answer:
Infrastructure as Code (IaC):Â Terraform, AWS CloudFormation.
Containers:Â Docker, Kubernetes.
CI/CD:Â Jenkins, GitHub Actions.
Monitoring: AWS CloudWatch, Azure Monitor
How do I practice cloud skills?
Answer:
Free tiers:Â AWS Free Tier, Azure $200 credit.
Labs:Â Qwiklabs, Cloud Academy.
Projects:Â Deploy a website, build a serverless app.
What’s the difference between DevOps and cloud computing?
Answer:
Cloud Computing:Â Focuses on delivering services (storage, VMs, databases).
DevOps: Uses cloud tools to automate software delivery (CI/CD, IaC)
What programming languages are useful for cloud?
Automation:Â Python, Bash.
Infrastructure:Â Terraform (HCL), YAML/JSON.
DevOps:Â Go, Ruby (for scripting).
Do you provide placement assistance?
Yes, many programs offer placement support, interview preparation, and resume building services
Is this course available online or offline?
Tech Pragna are offered in both online and offline
What’s the hardest part of learning cloud computing?
Complexity:Â Managing multi-cloud environments.
Security:Â Understanding shared responsibility models.
Cost control:Â Avoiding unexpected cloud bills.
What Our Learners Have To Say
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