Architecture decisions
Turn product constraints into explicit boundaries, interfaces, and trade-offs.
For engineers responsible for what happens after the demo.
Build a working architecture practice across retrieval, evaluation, observability, guardrails, and agents—without mistaking framework tutorials for system design.
AI Engineering / 01—05
- 01FoundationsFrame the system
- 02RAGGround responses
- 03EvaluationProve behavior
- 04LLMOpsOperate with evidence
- 05AgentsControl autonomy
Every module adds an operational constraint. The path becomes a production system, not a folder of disconnected notes.
How you will learn
Practice the decisions between the diagrams.
Evaluation evidence
Define quality before shipping, then measure what changes in production.
Operational readiness
Design for observability, failure recovery, cost control, and responsible use.
AI Engineering curriculum preview
One path. Five production concerns.
See the shape of the learning path before signing in. Full lessons, exercises, and progress tracking stay inside the learning workspace.
Read the Sample Lesson Prepare by topic: Question Bank, Scenarios & Mock InterviewsWhat is inside
Everything you get, in one place.
Practice material, reference, and an interactive lab — not a reading list. Much of it is open before you sign in.
Question Bank
Topic-organized interview questions with model answers and architecture diagrams.
Topics public · answers need sign-inOpenMock Interviews
Structured practice loops under a fictional company — full-loop, deep-dive, and architecture review.
Titles public · steps need sign-inOpenScenario Workbook
Practice prompts and incident post-mortems drawn from how systems actually fail.
Titles public · steps need sign-inOpenCase Studies
Worked whiteboard scripts with a self-score rubric, so you can mark your own answer.
Titles public · detail needs sign-inOpenRAG Pipeline Lab
An interactive retrieval-parameter simulator. Feel the precision/recall trade-off yourself.
Open — no sign-inOpenGlossary & reference
Every acronym defined, plus skill matrix, cheat sheet, cost planning, and a sample job description.
Open — no sign-inOpen
Who it is for
Individuals, colleges, and hiring teams.
For individuals
Prefer 1:1 guidance?
One-on-one coaching and interview feedback, on request.
For colleges
Want students industry-ready?
Real industry exposure, taught by professionals who ship — shaped around your programme.
For agencies
Building a talent pipeline?
An enterprise track of structured mock interviews and readiness benchmarks.
Coaching, institutional programmes, and enterprise tracks are all arranged directly. Send an enquiry or reach us at support@prereqs.tech · +91 91689 96020.
What engineers say