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Role-targeted curricula that thread our MCQs, coding problems, system design walkthroughs, and behavioral themes into a single ordered plan. Pick the role that matches your loop and work top to bottom.
The AI engineer role is distinct from the ML researcher and the MLOps engineer: you build production systems on top of LLMs - RAG pipelines, agents, evals, inference services - and interviews test that applied systems judgment, not just model theory.
Platform engineers build the internal infrastructure other teams ship on: compute platforms, CI/CD, service meshes, observability, and the paved roads that make the org faster.
A staged curriculum that takes a working junior backend engineer to a senior backend interview loop.
An interview prep path for SRE and DevOps loops.
An interview prep path for ML Engineer loops.
An interview prep path for frontend loops.
An interview prep path for full-stack loops.
An interview prep path for mobile loops - iOS, Android, or React Native.
An interview prep path for cloud and solutions architect loops.
A provider-deep tour of Amazon Web Services for solutions and cloud architects.
A provider-deep tour of Microsoft Azure for solutions and cloud architects.
A provider-deep tour of Google Cloud Platform for solutions and cloud architects.
An interview prep path for security engineering loops.
An interview prep path for data science loops.
An interview prep path for data and business analyst loops.
An interview prep path for product manager loops.
An interview prep path for technical program manager loops.
The on-ramp for new-grad and internship loops.
A curriculum for Software Development Engineer in Test and QA-engineer loops, which blend a real (if lighter) coding bar with deep testing judgment.
A path for data-engineering loops, which lean on SQL fluency, pipeline and distributed-data design, and a working coding bar.
A path for engineering-manager loops, which combine a technical-credibility bar with deep people-leadership and judgment rounds.
Each path is a sequenced reading list, not new content. We point at the existing MCQs, coding problems, system design walkthroughs, and behavioral themes you already have access to, and put them in the order a candidate for that role should work through them. The goal is to remove "what should I study next?" as a question.
Paths are role-targeted: a Senior Backend loop and an SRE loop ask very different questions, and the order matters as much as the topic mix. Pick the path that matches your target role and work the sections top to bottom. If a section feels easy, skim and move on - the path is a guide, not a contract.
Core Java, collections, concurrency, and Spring Boot - useful alongside the Backend and Full-Stack paths.
Closures, async, and modern ES features for the Frontend and Full-Stack paths.
Production RAG topics for the ML Engineer path.