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Career Paths

Structured, interview-focused learning guides for data and AI engineering roles. Each path combines lessons, quizzes, coding exercises, and system design walkthroughs.

Intermediate

Data Engineering

Master the fundamentals of data pipelines, SQL, cloud warehouses, and system design to land a data engineering role.

40h estimated8 modules
Start path
Intermediate

AI / LLM Engineering

Go from LLM fundamentals to production RAG systems, fine-tuning, and LLM system design for engineering interviews.

35h estimated7 modules
Start path
Intermediate

Cloud Engineering

AWS, GCP, infrastructure-as-code, and cloud architecture for engineering interviews.

35h estimated4 modules
Start path
Intermediate

Backend Engineering

API design, databases, caching, message queues, and system design for backend interviews.

40h estimated4 modules
Start path
Intermediate

DevOps / SRE

Kubernetes, CI/CD, observability, incident management, and SLOs for DevOps interviews.

30h estimated3 modules
Start path
Intermediate

Frontend Engineering

React, TypeScript, performance, accessibility, and frontend system design for interviews.

30h estimated3 modules
Start path

How it works

  1. Choose a career path based on the role you're targeting
  2. Work through modules in order — lessons build on each other
  3. Complete quizzes to test your understanding and track progress
  4. Practice system design questions with model walkthroughs
  5. Use the coding exercises to build real intuition
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