Cloud and DEVOPS Expert
From Networking to Kubernetes –
Next Cohort
Course Duration
240 Hrs
Course Overview
The Cloud and DevOps Expert program is a comprehensive, hands-on training path that equips learners with the capabilities to architect, deploy, and manage modern cloud-native applications and infrastructure using the most in-demand DevOps tools and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP).
As businesses increasingly adopt the cloud to ensure scalability, reliability, and speed, the demand for professionals skilled in both cloud computing and DevOps is soaring. This program is designed to prepare learners for roles where they manage infrastructure as code, implement CI/CD pipelines, deploy applications on Kubernetes, and ensure secure, cost-effective cloud operations.
Key Features
- Dual coverage of Cloud + DevOps in one program
- Taught by certified cloud architects and DevOps engineers
- Simulates real-world DevOps workflows
- Full portfolio development and project showcase
Skills Covered
- Cloud service provisioning (AWS, Azure)
- Virtual machine & container management
- CI/CD automation workflows
- Terraform for infrastructure automation
- Monitoring with Prometheus & Grafana
- DevOps best practices and Agile tools
Course Curriculum
Cloud and DEVOPS Expert
Module 1 - Advanced Cloud Technologies
- AWS (EC2, S3, VPC, IAM, Lambda) Master core AWS services: compute with EC2, storage via S3, secure networking using VPC, user access control through IAM, and serverless execution using Lambda.
- GCP basics Get introduced to Google Cloud Platform services including Compute Engine, Cloud Storage, and BigQuery for scalable application deployment.
- Azure intro Understand Microsoft Azure fundamentals, covering services like Azure VMs, Resource Groups, and the Azure Portal to manage cloud infrastructure.
- Cloud security Explore best practices in securing cloud environments, including identity policies, encryption, firewall rules, and compliance standards.
- Monitoring Tools(Cloud Watch and Cloud Trail) Use AWS tools like CloudWatch for performance metrics and CloudTrail for logging user activity to ensure real-time monitoring and accountability.
Module 2 - DevOps Fundamentals
- CI/CD concepts Understand Continuous Integration and Continuous Deployment workflows to automate testing, building, and delivery of software updates.
- Agile & Scrum Learn Agile methodologies and Scrum practices for iterative development, sprint planning, and cross-functional team collaboration.
- Git & GitHub Master version control using Git and collaborate effectively through GitHub with branching, pull requests, and code reviews.
- Version control Track and manage code changes over time to ensure consistent development, rollback capabilities, and collaborative coding.
- Pipelines Build and manage automated DevOps pipelines for tasks such as code integration, testing, containerization, and deployment.
Module 3 - Tools for DevOps Automation
- Jenkins Automate the CI/CD pipeline using Jenkins for building, testing, and deploying applications efficiently with customizable workflows.
- Docker Learn containerization using Docker to package applications with all dependencies, ensuring consistency across environments.
- Kubernetes Manage, scale, and orchestrate containerized applications in clusters using Kubernetes for high availability and fault tolerance.
- Terraform Use Terraform for Infrastructure as Code (IaC) to provision and manage cloud infrastructure across multiple providers.
- Ansible Automate software provisioning, configuration management, and application deployment using agentless scripts in Ansible.
- Helm Deploy and manage Kubernetes applications easily with Helm charts, streamlining updates and version control in production.
Module 4 - Scripting & Automation
- Bash scripting Automate routine system administration tasks using shell scripts for file operations, process management, and job scheduling in Linux environments.
- Python basics for automation Learn Python essentials to write scripts for automating system tasks, parsing logs, managing files, and interacting with APIs.
- CLI tools Master command-line tools like grep, awk, sed, curl, and wget to boost productivity and control over systems.
Module 5 - Infrastructure as Code (IaC)
- Terraform in-depth Learn to define, provision, and manage infrastructure using Terraform’s declarative syntax, modules, and state management for multi-cloud automation.
- configuration management using Ansible Automate the setup and configuration of servers using Ansible playbooks, roles, and inventories—ensuring consistency across environments without agents.
- AWS (EC2, S3, VPC, IAM, Lambda)
- GCP basics
- Azure intro
- Cloud security
- Monitoring Tools(Cloud Watch and Cloud Trail)
- CI/CD concepts
- Agile & Scrum
- Git & GitHub
- Version control
- Pipelines
- Jenkins
- Docker
- Kubernetes
- Terraform
- Ansible
- Helm
- Bash scripting
- Python basics for automation
- CLI tools
- Terraform in-depth
- configuration management using Ansible
Salary Scale
Maximum
35 LPA
Average
15 LPA
Minimum
10 LPA
Job Role
- Cloud Administrator
- DevOps Engineer
- Infrastructure Engineer
- Cloud Support Engineer
- Automation Engineer
- Cloud Security Engineer
Course Certificate
Eligible Criteria
- B.E/B.Tech in ECE, EEE, Instrumentation (Final Year or Recent Graduates)
-
Possess good English communication skills
Tools & Technologies
Training Options
Online
Training
₹
24,000
Including GST*
-
24/7 LMS Access
-
Live Online Session
-
On-Campus Immersion
Classroom
Training
₹
48,000
Including GST*
-
24/7 LMS Access​
-
Peer Learning & Support
-
Career Guidance & Mentorship
Why Join this Program
Complete Cloud + DevOps Combo
Covers everything from cloud provisioning to CI/CD
Future-Proof Your Career
Gain in-demand skills in generative AI models sought by top tech companies.
Innovation and Creativity
The program equips you with skills to create innovative applications by leveraging generative AI in various domains such as image, audio, and text generation.
Stay Ahead of the Curve
Joining this program keeps you updated on generative AI, boosting your skills and competitiveness.
FAQ
While basic Python knowledge is helpful, the course is designed to teach most tools during the program, making it accessible even to those with limited coding experience.
Yes, participants will receive a certification upon successfully completing the course.
The course duration is structured to fit into a flexible learning schedule, allowing learners to progress at their own pace.
The course includes a combination of live sessions and self-paced learning materials to provide a comprehensive learning experience.
Learners have access to a support system that includes mentorship, discussion forums, and technical assistance to help with any queries or challenges faced during the course.
Completing the course opens up opportunities in various roles such as Generative AI Engineer, Machine Learning Engineer, Prompt Engineer, and AI Application Developer, among others.