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Registration Ends In :
Rating :
4.6 (10K+)
In Association With :
Highest Salary Drawn
Learners Trained
Hiring Companies
Industry Projects
Bridge the gap between formal education and practical skills,
empowering you for your dream job
80% Practical Training
Get Trained From Industry Experts
Industry-Oriented AI Driven Curriculum
Interview-Based Internship
Companies adopting DevOps and AWS cloud computing deploy software dramatically faster and with fewer errors. With the rise of automation, CI/CD, Docker, Kubernetes, and cloud platforms like AWS, Azure, and GCP, DevOps powers Fortune 500 companies worldwide.
By mastering our devops course, aws course, and cloud computing course, you unlock high-growth cloud and DevOps career opportunities across every industry.
Learn DevOps with AWS through real-time projects and hands-on industry-based training.
Hours of Training
Case Studies & Projects
Tools
Git - Source Control & Development Environment for CartForge Commerce
Git installation on Ubuntu
Repository initialization
Branching strategy (GitFlow)
Code commits and versioning
Pull requests and code review
Merge conflict resolution
Repository permissions and security
GitHub Webhooks for CI triggers
AI Advantage
AI-assisted development using GitHub Copilot
Auto-generation of commit messages and code snippets
Intelligent code suggestions and optimization
Support in identifying bugs and resolving merge conflicts
Jenkins - CI/CD Automation for CartForge Commerce
Trigger Jenkins via GitHub webhook
Source code checkout
Backend build and dependency management (Java Spring Boot)
Frontend build automation (React)
Unit test execution
Automated deployment to local/staging servers
AI Advantage
AI-driven CI/CD insights and automation using Jenkins
Detect build bottlenecks and pipeline inefficiencies
Predict potential pipeline failures
Optimize CI/CD workflows and performance
Docker - Containerization for OpsMate
Container fundamentals
Writing Dockerfiles
Multi-stage builds for optimized image size
Container networking
Image registry management
AI Advantage
Container configuration support using GitHub Copilot
Detection of vulnerable packages
Recommendations for optimized base images
Assistance in Dockerfile and Docker Compose setup
Kubernetes - Container Orchestration for OpsMate
Pods, Deployments, ReplicaSets, Services
ConfigMaps and Secrets
Ingress Controller
Horizontal Pod Autoscaler (HPA)
Node management and cluster scaling
AI Advantage
Container configuration support using GitHub Copilot
Detection of vulnerable packages and security risks
Recommendations for optimized base images and smaller builds
Assistance in writing and improving Dockerfile and Docker Compose setups
AWS - Infrastructure Deployment for ContentSphere
VPC creation
Subnet configuration
Security group setup
EC2 instance provisioning
Database provisioning
S3 bucket creation
AI Advantage
Improve scalability and resource planning
AI-powered infrastructure optimization using Terraform
Recommend cost-effective resource usage and instance types
Detect unused or underutilized infrastructure
Grafana - Monitoring & Logging for ContentSphere
Monitoring
EC2 CPU and memory monitoring
Node.js application metrics
Dashboard visualization
Logging
Centralized log collection
Log filtering and search
Alert notifications for failures
AI Advantage
Observability support using Grafana AI and AWS CloudWatch Anomaly Detection
Detection of anomalies and system issues
Automated incident analysis and root cause identification using Elasticsearch AI
Prediction of potential failures
In this project, Learners will build a complete CI/CD pipeline using Jenkins, integrating GitHub for version control, Maven for build automation, and SonarQube for code quality checks. The pipeline will automate application deployment on AWS EC2 instances using Ansible, ensuring a seamless development lifecycle.
This project covers containerization with Docker, where Learners will create and optimize Dockerfiles, manage multi-container applications using Docker Compose, and deploy containerized applications to AWS using Amazon Elastic Container Service (ECS) and AWS Fargate.
Learners will deploy and manage containerized applications on Kubernetes, implementing auto-scaling with Horizontal Pod Autoscaler (HPA), setting up Kubernetes Ingress for traffic management, and configuring high availability across multiple AWS Availability Zones using Amazon EKS (Elastic Kubernetes Service).
This project introduces Infrastructure as Code (IaC) using Terraform to provision and manage AWS cloud resources. Learners will write Terraform configurations to automate the deployment of VPCs, EC2 instances, S3 storage, IAM roles, and RDS databases, following best practices in state management and modularization.
This project focuses on automating system configuration and software deployment using Ansible playbooks. Learners will implement centralized configuration management for AWS EC2 instances, automate patch management, and optimize infrastructure with role-based Ansible workflows.
Learners will deploy and configure Prometheus for real-time monitoring of AWS infrastructure, collecting metrics from EC2 instances, Kubernetes clusters, and application logs. They will also set up alerting mechanisms using Prometheus Alertmanager and integrate with AWS CloudWatch for enhanced observability.
This project involves creating interactive dashboards using Grafana to visualize performance metrics from Prometheus, AWS CloudWatch, and application logs. Learners will set up data sources, configure alerting rules, and design custom dashboards for monitoring cloud resources and Kubernetes clusters.
Learners will explore infrastructure automation by integrating Terraform with AWS CloudFormation and Ansible. This project covers dynamic provisioning of AWS resources, autoscaling groups, and setting up event-driven infrastructure deployment with AWS Lambda and EventBridge.
This project focuses on mastering Linux file management, including permissions, user access control, shell scripting for automation, log management, and data manipulation. Learners will implement secure file transfer protocols like SCP and SFTP and explore tools like rsync for efficient data synchronization across systems.
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Our 80% practical and 20% theoretical training equips you with industry-oriented practical knowledge.
Seasoned professionals with extensive practical expertise in the field, ready to guide you every step of the way.
Join Itvedant live mentor sessions for hands-on experience with DevOps with AWS. Enjoy a collaborative learning environment all from the comfort of your own home.
Get globally certified, along with ‘ITVEDANT’ certification, and earn brownie points in your interviews.
Easily resolve your doubts with our personalized 1:1 online sessions. Our experts are dedicated to clarifying all your questions, ensuring effective learning from anywhere.
From lecture schedules to facilitating connections with prospective employers, our dedicated web portal gives wings to your career.Â
Unleash your true potential with an interview-based internship. Gain hands-on experience, mentorship, and valuable industry insights with a project completion experience letter.
Unlock Interview Guarantee opportunities and exclusive access to in-house campus drives- your career breakthrough starts here.
This DevOps with AWS program is ideal for working professionals looking to upskill or transition in their careers.
The duration of a DevOps with AWS Certification Training is 6 - 8 Months. However, it depends on the learners as to how many modules they prefer to watch.
You needn’t worry about missing a session. All live sessions are recorded, and you can access the videos at your convenience through our portal.
Yes, the program is designed to accommodate working professionals, offering flexible online classes, recorded sessions, and live support.
Yes, it starts with fundamentals and progresses to advanced DevOps and AWS concepts.
Yes! We offer weekend and evening batches to fit around your busy schedule.
Industry-driven curriculum, real-world projects, and hands-on AWS training make this course stand out from the competitors in the market.
Just 6 to 8 months of immersive learning and hands-on practice.
Yes! This course prepares you for AWS DevOps Engineer & AWS Cloud Practitioner certifications, making you industry-ready.
Yes! There are over 32,000+ DevOps job openings in India alone, and the demand is growing rapidly.
With hands-on experience, real-world projects, and globally recognized certification, you’ll stand out in the job market.
Connect with our career growth counsellors.
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Our Team will get in touch with you soon or call +919205004404 now to get answer for all your queries !
Our Team will get in touch with you soon or call +919205004404 now to get answer for all your queries !
Our Team will get in touch with you soon or call +919205004404 now to get answer for all your queries !
Our Team will get in touch with you soon or call +919205004404 now to get answer for all your queries !
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