Learning Roadmaps

Structured paths to become ML Data Engineer, DevOps Engineer, and more

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Popular

ML Data Engineer

Complete roadmap to become a Machine Learning Data Engineer. Learn data pipelines, ML infrastructure, and production systems.

Duration: 12-18 months
Levels: Foundation → Intermediate → Advanced
Skills: Python, SQL, ML, Data Pipelines, Cloud
25% Complete
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In Demand

DevOps Engineer

Master DevOps practices: Docker, Kubernetes, CI/CD, cloud platforms, infrastructure as code, and automation.

Duration: 10-15 months
Levels: Foundation → Intermediate → Advanced
Skills: Docker, K8s, CI/CD, Cloud, Terraform
15% Complete
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Beginner Friendly

Full Stack Developer

Learn both frontend and backend development. Build complete web applications from scratch to deployment.

Duration: 8-12 months
Levels: Frontend → Backend → Deployment
Skills: React, Node.js, Databases, APIs
40% Complete
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