DevOps with Multi Cloud Training
Learn to automate software delivery, manage cloud infrastructure and understand modern CI/CD workflows across AWS, Microsoft Azure and Google Cloud Platform.
Learn to Build and Manage Modern Cloud Delivery Workflows
DevOps brings software development and IT operations together through collaboration, automation and continuous improvement. Multi-cloud computing extends these practices across different cloud service providers.
The DevOps with Multi Cloud course at Naresh i Technologies, JNTU, Hyderabad, introduces learners to cloud services on AWS, Azure and Google Cloud alongside modern software delivery practices.
Explore Linux, Git, shell scripting, Jenkins, Docker, Kubernetes, Ansible and Terraform. Learn how CI/CD pipelines, Infrastructure as Code and application monitoring fit together in modern environments.
This learning path is relevant to IT professionals, graduates, developers and cloud enthusiasts interested in DevOps and cloud engineering skills.
From Source Code to Multi-Cloud Infrastructure
Modern applications depend on dependable infrastructure, continuous integration, repeatable deployments and effective monitoring. DevOps practices connect these activities into a coordinated software delivery process.
The curriculum begins with cloud fundamentals and Linux, before introducing cloud compute, networking, storage, access management and security services.
It then progresses into version control, build automation, Jenkins pipelines, containerization, Kubernetes orchestration, Infrastructure as Code, configuration management and monitoring.
Multi-cloud concepts introduce infrastructure differences across AWS, Azure and GCP, helping learners understand where tools and practices are similar or different.
From Code to Cloud — See How DevOps Works
Explore the six stages of a modern DevOps workflow. Watch the visual demonstration move from planning through development, testing, deployment and monitoring.
Discover how Git, Maven, Jenkins, Docker, Kubernetes, Terraform and monitoring tools contribute to software delivery automation.
Skills You Will Develop
AWS, Azure & GCP
Understand cloud infrastructure, networking, storage and compute.
Linux & Scripting
Explore Linux administration and shell automation.
Git & Jenkins
Understand source control, builds and delivery pipelines.
Docker & Kubernetes
Explore container images, orchestration and deployments.
Terraform & Ansible
Learn Infrastructure as Code and configuration management.
Monitoring & GitOps
Explore Grafana, Prometheus, Helm and Argo CD.
Prerequisites for DevOps with Multi Cloud Training
Basic understanding of computer systems and networking is helpful. Familiarity with Linux, cloud platforms or a scripting language can make advanced modules easier to follow.
- Basic computer and operating system knowledge.
- Interest in cloud infrastructure and automation.
- Some familiarity with Linux commands is useful.
- Introductory networking concepts are helpful.
- Basic Python or shell scripting knowledge is beneficial.
- Willingness to practice commands and configurations.
DevOps with Multi Cloud Course Syllabus
Explore all 20 modules from the supplied course curriculum. Click any module to view its complete topic list.
01 / Cloud Computing Fundamentals
Cloud Introduction
- Cloud Computing and Its Evolution
- AWS, Azure and Google Cloud Overview
- Traditional vs Cloud Infrastructure
- Cost Efficiency, Scalability and Availability
- Public, Private, Hybrid and Community Clouds
- IaaS, PaaS and SaaS Service Models
Cloud Architecture
- Horizontal and Vertical Scaling
- Vendor Lock-In and Downtime
- Privacy, Compliance and Latency
- Shared Responsibility Model
- IAM, Encryption and Cloud Security
- Cloud Pricing and Cost Optimization
02 / Linux and Virtualization
Virtualization
- Virtualization Fundamentals
- Virtualization Types
- Hypervisor Concepts
- Benefits and Vendors
Linux Administration
- Linux Commands
- Linux Filesystem
- File Permissions
- Process Management
- User Account Management
- Software Management
- Linux Networking
03 / AWS, Azure and GCP Compute
Virtual Machines
- AWS EC2, Azure VMs and GCP Compute Engine
- Linux and Windows Instance Launch
- Instance Types and Workload Selection
- SSH Keys and RDP Access
- Security Groups and Firewall Rules
- Cloud Disks and Persistent Storage
- Snapshots and Backup
- User Data and Metadata
Availability and Scaling
- Cloud Load Balancing
- Monitoring and Billing Alarms
- Auto Scaling Groups
- Azure VM Scale Sets
- GCP Managed Instance Groups
- Scaling Policies
04 / Multi-Cloud Networking
Networking Concepts
- AWS VPC, Azure VNet and GCP VPC
- Public and Private IP Addresses
- CIDR and Subnet Calculations
- Custom Networks and Subnets
- Network ACLs
- Route Tables
- Internet Gateways
- Cloud Network Security
05 / Cloud Storage Services
Storage Platforms
- Amazon S3
- Azure Blob Storage
- Google Cloud Storage
- Storage Classes
- Object Versioning
- ACLs and Bucket Permissions
- Data Migration
- Cross-Region Replication
Storage Operations
- Lifecycle Policies
- Encryption and KMS
- Static Website Hosting
- Storage Events
- Cross-Account Access
- Backup and Storage Gateways
- Pre-Signed URLs
06 / Identity and Access Management
Access and Security
- Root Accounts vs IAM Users
- Multi-Factor Authentication
- Password Policies
- Access Keys
- Users, Groups and Roles
- Customer Managed Policies
- User Activity Auditing
07 / Databases and Cloud Security
Cloud Database Services
- Amazon RDS
- MySQL, MSSQL and Aurora
- Multi-AZ and Read Replicas
- High Availability
- RDS Proxy
- ElastiCache Overview
- Database Connectivity
- DynamoDB Overview
- Database Migration Service
Security Services
- AWS Secrets Manager
- Key Management Service
- Certificate Manager
- AWS Inspector and Trusted Advisor
- CloudFront and CDN
- AWS Shield and WAF
- AWS Config
08 / Serverless and DNS Services
Serverless Automation
- AWS Lambda Fundamentals
- Lambda Configuration
- AWS Service Integration
- Python Boto3 Automation
- Environment Configuration
- Lambda Layers
Amazon Route 53
- DNS Records
- Routing Policies
- Simple, Weighted and Failover Routing
- Geolocation and Latency Routing
- Cross-Region High Availability
- DNS Alias Records
09 / DevOps and Shell Scripting
DevOps Fundamentals
- Introduction to DevOps
- DevOps Engineer Skills
- DevOps Delivery Pipeline
- DevOps Ecosystem
Shell Scripting
- Shell Types and Variables
- Operators and Arguments
- String and Arithmetic Comparisons
- File Conditions
- If Statements, Loops and Case
- Functions and Script Examples
10 / Web and Application Servers
Server Configuration
- Apache Web Server Installation
- Apache Configuration
- Apache Tomcat Installation
- Tomcat Configuration
- Tomcat Manager
- Application Management
11 / Git Version Control
Git Fundamentals
- Introduction to Git
- Working Directory and Staging
- Local and Remote Repositories
- Git Installation and Setup
- Git Commands
Repository Management
- Adding and Committing Files
- Git Status and Logs
- Ignoring and Removing Files
- Undoing Changes
- Repository Forking
- Fetch, Pull and Push
- Branching and Merging
- Remote Branches and Rebasing
12 / Maven and SonarQube
Apache Maven
- Maven Installation
- POM XML
- Maven Build Lifecycle
- Local and Remote Repositories
- Group ID and Artifact ID
- Dependencies and Plugins
SonarQube
- Installation and Configuration
- Code Quality Scanning
- SonarQube Dashboard
- Maven Integration
13 / Jenkins and CI/CD Pipelines
Jenkins Fundamentals
- Continuous Integration
- Jenkins Installation
- Jenkins Configuration
- Build Jobs and Scheduling
- Poll SCM
- Controller and Agent Configuration
- Workspace Management
- Authentication and Authorization
- Jenkins Plugins
CI/CD Integrations
- GitHub Integration
- EC2, S3 and Lambda Integration
- Docker and Kubernetes Pipelines
- SonarQube and Trivy
- JFrog and Argo CD
- Azure CI/CD
- GitLab CI/CD
14 / Docker Containerization
Docker Fundamentals
- Introduction to Docker
- Docker Installation
- Docker Images
- Docker Engine
- Containers and Lifecycle
- Docker CLI Commands
- Dockerfile
- Docker Compose
- Docker Hub and Registries
- Docker Swarm
15 / Kubernetes Orchestration
Kubernetes Fundamentals
- Kubernetes Cluster Architecture
- Creating Clusters on EC2
- YAML Configuration
- Pods and Deployments
- Services and Networking
- Kubernetes Dashboard
- Rolling Updates
- Container Orchestration
Cluster Operations
- Helm Charts
- Schedulers
- Metrics Server
- Persistent Volumes
- RBAC
- Azure AKS
- Amazon EKS
16 / Helm, Argo CD and Logging
Helm
- Installation
- Configuration
- Deployment
GitOps and Logging
- Argo CD Installation
- Argo CD Configuration
- Continuous Delivery
- EFK Stack Configuration
- Kubernetes Logs
17 / Prometheus and Grafana
Monitoring and Observability
- Continuous Monitoring
- Grafana Installation
- Prometheus Fundamentals
- Metrics Collection
- Prometheus and Grafana Integration
- Kubernetes Monitoring
18 / Ansible Configuration Management
Ansible Fundamentals
- Ansible Introduction
- Server Configuration
- SSH Connectivity
- Host Inventory
- Host and Group Variables
- Ad-Hoc Commands
Automation Playbooks
- YAML Scripts
- Playbook Variables
- Conditions and Loops
- Blocks and Handlers
- Templates
- Ansible Modules
- Ansible Roles
19 / Terraform Infrastructure as Code
Terraform Fundamentals
- Installation and Providers
- Resources and HCL Syntax
- main.tf Configuration
- Terraform Plan, Apply and Destroy
- Terraform Registry
- Variables and Outputs
- Maps, Functions and Lookups
- Terraform Console
Modules and State
- Terraform Modules
- Root Modules
- Workspaces
- Local and Remote State
- Data Sources and Templates
- Count and Conditional Expressions
AWS Infrastructure Labs
- S3 Bucket Provisioning
- EC2 Instances
- AMI and Key Pairs
- VPC and Subnets
- Internet Gateway and Route Tables
- Security Configurations
- Debugging and Terraform Testing
- Terraform Best Practices
20 / Python and Boto3 Automation
Python for DevOps
- Python Introduction
- Lists, Ranges and Tuples
- Input and Output
- Object-Oriented Python
- Regular Expressions
- Python in DevOps Automation
- Boto3 for AWS Service Automation
Who Should Learn DevOps with Multi Cloud?
IT Graduates
Understand Linux, cloud computing and DevOps fundamentals.
Software Engineers
Explore CI/CD, containers and software delivery automation.
System Administrators
Expand infrastructure management skills into cloud automation.
Cloud Professionals
Explore multi-cloud platforms, deployment tools and monitoring.
Support Engineers
Understand cloud operations, Linux systems and automation.
Career Transition Learners
Develop foundational knowledge relevant to DevOps and cloud roles.
DevOps and Cloud Career Paths
Depending on experience, qualifications and technical proficiency, learners may explore roles involving cloud operations, CI/CD, infrastructure automation and container management.
- Junior DevOps Engineer
- Cloud Support Engineer
- Cloud Operations Associate
- Build and Release Engineer
- Infrastructure Automation Engineer
- Platform Engineering and SRE career paths
These are potential career paths, not employment guarantees.
Build the Pipeline. Automate the Infrastructure.
Interested in DevOps with Multi Cloud Training near JNTU Hyderabad? Contact the course team for current batch and enrollment details.
DevOps with Multi Cloud Training FAQs
What is DevOps with Multi Cloud?
DevOps with Multi Cloud combines software delivery automation, continuous integration, deployment and infrastructure operations across cloud providers such as AWS, Microsoft Azure and GCP.
Which cloud platforms are covered?
The course curriculum includes Amazon Web Services, Microsoft Azure and Google Cloud Platform, including cloud compute, networking and infrastructure topics.
Can beginners learn DevOps?
Beginners can start with foundational Linux, cloud and networking concepts. Familiarity with scripting and infrastructure is helpful for advanced modules.
What is the course duration?
DevOps with Multi Cloud at NareshIT JNTU has a listed duration of 4 months. Confirm current schedules with the JNTU team.
What are the DevOps course fees in JNTU?
The listed fees are ₹22,000 without videos and ₹28,000 with videos. Contact the branch to confirm package inclusions and payment terms.
Does DevOps training include Docker and Kubernetes?
Yes. Docker containerization and Kubernetes orchestration are included in the curriculum, alongside Helm and cloud Kubernetes services.
What is Infrastructure as Code?
Infrastructure as Code uses configuration files to provision and manage infrastructure. Terraform is one of the tools covered in this course.
Are Jenkins and Git included?
Yes. The curriculum includes Git version control, Maven, SonarQube and Jenkins-based continuous integration and CI/CD workflows.
Where can I learn DevOps with Multi Cloud near JNTU Hyderabad?
Naresh i Technologies offers DevOps with Multi Cloud training at its JNTU Hyderabad branch. Call +91 99660 45222 for current enrollment details.