The Cloud & DevOps for AI course is a 3-month hands-on program covering AWS, Azure, Google Cloud, Docker, Kubernetes, CI/CD pipelines, and MLOps. Learn to deploy, monitor, and scale AI models in production environments with industry-standard DevOps practices used at top tech companies.
Aevoriq Academy � Course
A 3-month hands-on program covering AWS, Azure, Docker, Kubernetes, CI/CD pipelines, and MLOps. Learn to deploy, monitor, and scale AI applications in production environments using the exact tools top tech companies rely on.
Enroll Now 3 Months • Live + Recorded • CertificateWhat You Will Learn
Understand core cloud services � compute, storage, networking, IAM, pricing, and cloud architecture best practices.
Build, run, and manage Docker containers. Write Dockerfiles, use Docker Compose, and manage container registries.
Deploy and scale containerised applications on Kubernetes. Learn pods, services, deployments, Helm charts, and autoscaling.
Automate testing and deployment with GitHub Actions, Jenkins, and Azure DevOps. Build robust, zero-downtime pipelines.
Deploy ML models with FastAPI, monitor drift, retrain pipelines, and manage model versions with MLflow and DVC.
Provision cloud resources automatically using Terraform and Ansible. Manage environments consistently and repeatably.
Modules
AWS EC2, S3, RDS, VPC, IAM, Azure equivalents, cloud cost management, security basics
Linux command line, bash scripting, file permissions, process management, cron jobs
Docker images, containers, volumes, networks, Docker Compose, container registry
Pods, deployments, services, ingress, ConfigMaps, Helm, horizontal pod autoscaling
GitHub Actions, Jenkins pipelines, automated testing, deployment strategies, rollbacks
Terraform modules, state management, Ansible playbooks, environment provisioning
FastAPI model APIs, MLflow experiment tracking, DVC data versioning, model monitoring
Deploy a full ML system end-to-end, portfolio, mock interviews, hiring connect
Tech Stack
Every AI team needs a DevOps engineer. Get certified and job-ready in 3 months.
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