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Career Path
AI-Native DevOps Engineer
Automate with AI. Operate the Future.
The flagship ICL path — cloud + DevOps foundations, then AIOps, MLOps, and GenAI platform engineering for the age of intelligent operations.
₹12 – 30
Salary Range
8 Months
Duration
16
Projects
60+
Hands-on Labs
Advanced
Level
Your AI-Native DevOps Engineer Roadmap
Step-by-step journey to become a job-ready AI-Native DevOps Engineer.
- 012 Weeks
Version Control
Git for ML model versioning, infra, and prompt/config repos.
Git workflowsMonoreposCollaboration - 022 Weeks
Advanced Linux
Python-friendly Linux ops — the control plane for AI automation.
Shell & PythonProcess managementPackage management - 033 Weeks
AWS Foundations
Cloud home for AI workloads — IAM, compute, storage, networking.
AWS basicsEC2 & Lambda introS3IAM - 043 Weeks
AWS Core Services
Data stores, messaging, and APIs that AI pipelines depend on.
RDS & DynamoDBSQS & EventBridgeAPI GatewayS3 events - 052 Weeks
Docker & Containers
Package models, agents, and inference services as containers.
DockerfileMulti-stage buildsGPU-ready images - 063 Weeks
Kubernetes Core
Orchestrate ML inference and agent workloads at scale.
DeploymentsServicesGPU scheduling introConfigMaps - 073 Weeks
CI/CD Pipelines
Automate model training, evaluation, and deployment pipelines.
ML pipelinesGitHub ActionsGitLab CIArtifact promotion - 082 Weeks
Observability
Monitor models, pipelines, and AI-driven alerts.
Metrics for MLLog pipelinesAnomaly detection hooks - 093 Weeks
AI-Native DevOps & AIOps
LLM fundamentals, intelligent alerting, predictive ops, and automation.
LLM basicsAIOpsAnomaly detectionIntent-based automation - 103 Weeks
MLOps
Model lifecycle — training, registry, deployment, and monitoring on K8s/AWS.
SageMakerModel registryFeature storesModel monitoring - 113 Weeks
Generative AI & Platform Engineering
RAG, agents, Bedrock, LLM gateways, and AI platform architecture.
RAG pipelinesAgentic systemsBedrockLLM gateway patterns - 123 Weeks
Capstone Project
Ship an AI-native platform project — your flagship portfolio piece.
End-to-end AI systemIaC + CI/CDObservabilityDemo & docs
You're Job Ready!
Build a portfolio, prepare for interviews and get placed.
Skills You Will Master
Python
MLflow
SageMaker
Bedrock
PyTorch
Qdrant
Claude
LangChain
Kubeflow
KServe
Ray
DVCTop Job Roles You Can Get
- AI-Native DevOps Engineer
- MLOps Engineer
- AI Platform Engineer
- AIOps Specialist
Salary Growth Potential
0–1 yr1–2 yr2–3 yr3–5 yr5+ yr
Aligned to India market averages — ₹12 – 30 LPA and beyond with experience.
Certifications You Earn
AWS Certified Machine Learning – Specialty
Certified Kubernetes Administrator (CKA)
What Our Learners Say
“The structured path and real labs made it easy to switch into a AI-Native DevOps Engineer role.”
5.0
Ready to Start Your AI-Native DevOps Journey?
Join thousands of learners and become a job-ready AI-Native DevOps Engineer.
100% Hands-on Labs
Real cloud accounts. No simulations.
Real World Projects
Portfolio employers can verify.
Expert Mentorship
Learn from cloud experts.
Placement Support
Resume, interview & job assistance.