1. AWS global infrastructure and cloud basics (Week 1)
- •AWS regions, availability zones, and edge locations
- •CloudFront and AWS global network architecture
- •Shared responsibility model and cloud service basics
Learn cloud computing in Chennai with hands-on training on AWS, Microsoft Azure, Docker, Kubernetes, Terraform, Ansible, Jenkins, Git, and Linux. Build practical skills in cloud architecture, CI/CD, infrastructure as code, monitoring, security, and deployment with a course designed around real AWS solution architect and multi-cloud DevOps work.
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Freshers to IT
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Learning cloud computing is only useful when you can turn it into a job-ready profile. Inventateq helps you prepare for cloud, DevOps, and architect roles with practical guidance that matches the tools and tasks covered in class. The support is focused on interviews, profile presentation, and role alignment for Chennai hiring needs.
Cloud roles in Chennai are hired across IT services, product teams, infrastructure operations, and cloud migration projects. Salary growth depends on how well you handle AWS architecture, automation, security, and deployment work in real environments.
Cloud Computing Average Salary by Experience
Cloud roles in Chennai are hired across IT services, product teams, infrastructure operations, and cloud migration projects. Salary growth depends on how well you handle AWS architecture, automation, security, and deployment work in real environments.
Cloud Computing Average Salary by Experience
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Inventateq teaches cloud computing in a practical sequence, starting from AWS global infrastructure and IAM, then moving into compute, networking, storage, databases, security, monitoring, and cost control. The training also covers multi-cloud DevOps with Linux, Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK, so learners can work on real deployment and automation tasks.
We stand apart through our commitment to:

Live online cloud computing training from Chennai follows the same practical syllabus with interactive sessions and guided labs. Learners can attend from home, ask questions during class, and complete the same architecture and DevOps exercises used in the classroom program.
Best for learners who want to build AWS and multi-cloud administration skills.
Useful for admins moving into cloud operations, automation, and deployment.
Fits professionals who want stronger CI/CD, container, and IaC skills.
Good for developers who want to understand cloud deployment and architecture.
Ideal for candidates targeting AWS Solution Architect Associate preparation.
Duration: 60–80 hours for AWS Solution Architect Associate training and 80 hours for the multi-cloud DevOps program.
Mode: Offline classroom and live online training available in Chennai.
Learning style: Hands-on labs, architecture design, and guided implementation.
Certification focus: Prepared around AWS Solution Architect Associate and job-ready cloud skills.
No prior cloud experience is required to join. The class flow starts from core concepts and builds up to deployment work.
Rated 4.9/5
Inventateq keeps cloud training practical from the first module. Learners work through AWS architecture, Azure administration, DevOps tooling, and real project scenarios so they can explain, build, and troubleshoot with confidence.
By the end of the course, learners can design cloud solutions, automate deployments, and monitor production systems. The training gives you practical experience with architecture, CI/CD, containers, and cloud security.
Learn how to plan highly available, secure, and cost-aware solutions using AWS services and core design principles.
Practice launching web apps, 3-tier systems, serverless applications, and hybrid cloud connectivity setups.
Use CloudFormation, Terraform, and Ansible to build repeatable cloud environments.
Create CI/CD flows using Git, Jenkins, Maven, SonarQube, JFrog, and Docker.
Use CloudWatch, Prometheus, Grafana, and ELK to track metrics, logs, and alerts.
Review AWS certification scenarios and learn how to explain your projects clearly in interviews.
The certification validates your understanding of AWS architecture, cloud operations, and multi-cloud DevOps tools. It helps employers see that you have practical exposure to deployment, automation, security, and monitoring work.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes. The syllabus starts with cloud basics, AWS infrastructure, and IAM before moving into networking, storage, and security. Beginners can follow the course if they are willing to practice labs and review the concepts regularly.
Yes. The course includes architecture projects such as a highly available web application, a 3-tier setup, serverless design, hybrid connectivity, and disaster recovery work. You also practice DevOps tasks like CI/CD pipelines, container deployment, and monitoring.
Yes. Placement support includes resume help, mock interviews, project presentation guidance, and role mapping for cloud and DevOps profiles. The support is designed to help you present your practical work clearly to employers.
Non-technical learners can join if they are ready to spend time on the basics and practice regularly. The course builds from core concepts into implementation, so the learning path is manageable with trainer support. It is especially useful for those moving into cloud support or junior cloud roles.
Yes. You can attend live online classes from Chennai and follow the same syllabus used in the classroom batch. The sessions are interactive, and the trainer can guide you through labs and project work in real time.
The AWS Solution Architect Associate program runs for 60–80 hours, and the multi-cloud DevOps master’s program is 80 hours. The actual schedule depends on the batch format and pace of learning. Both tracks are built to include hands-on practice rather than only theory.
The training uses AWS, Microsoft Azure, Docker, Kubernetes, Terraform, Ansible, Jenkins, Git, Linux, Bash, Python, CloudFormation, Prometheus, Grafana, and ELK Stack. The tools are chosen to match real cloud and DevOps workflows. You also see supporting tools like SonarQube, JFrog, CloudWatch, and CloudTrail in the syllabus.
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