Track

Tensor→Tenant

108-week apprenticeship · 548 Darbar slots · 36-week on-ramp

Syllabus · Gates · Week loop · Darbar · On-ramp · Official T2T site

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Overview

On-ramp

Darbar

Darbar · Array

Darbar · Backtracking

Darbar · Bit Manipulation

Darbar · Divide And Conquer

Darbar · Dynamic Programming

Darbar · Graphs

Darbar · Greedy

Darbar · Hash Table

Darbar · Heap

Darbar · Linked List

Darbar · Math

Darbar · Queue

Darbar · Range Query

Darbar · Recursion

Darbar · Searching And Sorting

Darbar · Stack

Darbar · String

Darbar · Trees

Darbar · Trie

Phase 1 — Orientation, tooling, and diagnostics

Phase 2 — Mathematical foundations I: linear algebra & numerical methods

Phase 3 — Mathematical foundations II: calculus, autodiff, probability, statistics

Phase 4 — Engineering micro-projects and applied ML primitives

Phase 5 — System design and distributed systems fundamentals

Phase 6 — ML lifecycle, experimentation, and MLOps

Phase 7 — LLM training, RAG, agents, and evaluation

Phase 8 — LLM inference and performance engineering

Phase 9 — Production AI platform engineering

Phase 10 — Capstone, portfolio, and interview readiness

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