Build CI/CD pipelines, automate infrastructure, and manage containerized deployments on AWS using the tools DevOps teams rely on daily.
Live instructor-led course with practical tasks, portfolio guidance and career support.
This course is built for learners who already have some AWS or general cloud exposure and want to move into DevOps-focused work. You will build real CI/CD pipelines, automate infrastructure provisioning, and practice the deployment and monitoring workflows that keep production systems running.
Technical knowledge gets you in the door; these are the skills that come up in every interview and every performance review after that.
Every mentor on this course has spent years doing this work inside real organizations, not just teaching about it.
Ten years building CI/CD pipelines and container platforms for fast-moving product teams. Raj brings students through the same automation and deployment workflows he runs day to day, rather than a simplified classroom version of them.
Twelve years designing and migrating infrastructure across AWS, Azure, and GCP for mid-size and enterprise clients. Elena focuses on teaching the architecture decisions that matter once a system is handling real production traffic, not just passing a lab exercise.
Eight years designing APIs and backend systems for products handling meaningful scale. Sofia focuses on the architectural tradeoffs behind every technical decision, so students learn to reason about systems, not just syntax.
I'd been doing manual deployments for years. This course finally forced me to build a real pipeline end to end.
The Infrastructure as Code module changed how I think about environments. No more clicking through the console by hand.
Having a mentor who actually runs production pipelines meant I got answers the documentation never gave me.
The monitoring and alerting module alone was worth it — I finally understand what to actually watch for.
No hidden fees. Pay a small deposit to reserve your seat, then split the rest.
One-time program fee, or split into two payments below
7-day money-back guarantee if the course isn't the right fit
Each module is structured to move from concept to practice so students can understand the topic and apply it in a real workflow.
The course includes practical exercises and project work so learners can show proof of skills, not only course completion.
Create a polished deliverable that can be discussed in interviews, freelancing proposals, or portfolio reviews.
Create a polished deliverable that can be discussed in interviews, freelancing proposals, or portfolio reviews.
Create a polished deliverable that can be discussed in interviews, freelancing proposals, or portfolio reviews.
Basic familiarity with AWS core services (EC2, S3, IAM) is recommended. If you are completely new to AWS, we suggest starting with the general AWS Training course first.
Both. You will use real AWS DevOps tooling, but every module ties the tooling back to the practice it supports — release management, infrastructure automation, and monitoring.
You will cover core Kubernetes concepts and how they fit alongside ECS, though deep Kubernetes administration is outside this course's scope.
Graduates typically target DevOps Engineer, Cloud Automation Engineer, or Release Engineer roles, or apply these skills within an existing development or operations position.
Submit your details and the Checkmate IT Tech advisor team can contact you with batch timing and fee details.
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