AI-Native Cloud DevOps Engineer

The AI-Native Cloud DevOps Engineer program is an 8-month online curriculum by the DevOps Easy Learning Institute designed for career transitions from zero IT backgrounds, combining Cloud DevOps, Platform Engineering, and MLOps/LLMOps.

Key Highlights

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Format

Live online weekend classes over 8 months.

Trial Policy

First month free with no obligations.

Experience

Includes capstone projects and an engineering internship.

Cloud data storage rack concept in glass cube. Cloudscape digital metaverse server for global network business. Web database backup computer private infrastructure technology

AI Integration

Uses AI for IaC, scripting, and troubleshooting.

Technology Stack & Skills Covered

The program covers major technologies including AWS, Azure, Linux, Python, GitHub Actions, Jenkins, Terraform, Docker, Kubernetes, Prometheus, Grafana, and generative AI services like Amazon Bedrock.

21-Module Curriculum Roadmap

The curriculum is divided into four main phases:

1

Foundations & Scripting Automation (Modules 1–5)

2

Collaboration, CI/CD, & Cloud Infrastructure (Modules 6–10)

3

Infrastructure as Code & Cloud-Native Platforms (Modules 11–15)

4

Modern Operations & AI Infrastructure (Modules 16–21)

Career Outcomes & Target Roles

Prepares graduates for roles such as AI-Native Cloud DevOps Engineer, Platform Engineer, and SRE, while aligning with major industry certifications. More details can be found on CloudFront distribution.

Enroll Today