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DSA · System Design · SQL · AI, all free

Get interview-ready,
one stop at a time.

Every topic is a station and every track is a line. Ride them in order, see exactly where you are, and keep a daily streak until the whole map is done.

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1825

Lectures

741h

Of content

41

Chapters

1138

Daily problems

What's inside

Tracks that go from zero to interview-ready

Data Structures & Algorithms

Topic-by-topic DSA: concepts first, then the interview problems that use them.

25 chapters 1417 lectures 674h

System Design

Fundamentals, HLD and LLD, then full case studies.

1 chapters 74 lectures 10.0h

AI & LLMs

How LLMs work, then build real AI assistants and agents in Python.

2 chapters 25 lectures 9.1h

SQL & DBMS

SQL from SELECT to window functions and recursive CTEs, through LeetCode's SQL problems, plus the DBMS theory interviews ask about.

13 chapters 309 lectures 48h
Coming soon

Other

Career advice, contests and everything else.

The learning path

One topic at a time, concepts before problems

Each chapter opens with the theory videos, then the interview problems that use them.

  1. 01Arrays
  2. 02Strings
  3. 03Hashing
  4. 04Prefix Sum & Difference Array
  5. 05Two Pointers
  6. 06Sliding Window
  7. 07Binary Search
  8. 08Sorting
  9. 09Linked List
  10. 10Stack
  11. 11Queue
  12. 12Recursion
  13. 13Backtracking
  14. 14Trees
  15. 15Binary Search Trees
  16. 16Heap / Priority Queue
  17. 17Graphs
  18. 18Dynamic Programming
  19. 19Tries
  20. 20Greedy
  21. 21Bit Manipulation
  22. 22Math
  23. 23Segment Tree & BIT
  24. 24Design Data Structures
  25. 25Advanced Techniques

Built for finishing

Everything a paid course has, around free videos

Topic-wise, in order

Every playlist sorted into chapters, each with Theory and Interview Problems tabs, in the order MIK teaches them.

A real course player

Embedded YouTube player with the course outline beside it, Mark complete & next, and resume where you stopped.

Daily POTD tracker

Each LeetCode daily MIK solves, matched to its date, with a contribution heatmap to keep you honest.

Notes & revision queue

Autosaved notes per lecture. Star anything to revisit and it shows up in your revision queue.

Code & problem links

The GitHub solution and the LeetCode/GFG problem are pulled from each video's description.

⌘K everything

Jump to any lecture by name or LeetCode number. Filter by topic, difficulty, status or bookmarks.

Why learners stick with MIK's way of teaching

Convert the story to code.
Concepts are explained as a story first; the code falls out of it. The course keeps that order: Theory tab, then problems.
Learn the template once.
Backtracking, monotonic stacks, segment trees: learn the pattern, then drill the problems that reuse it.
Show up every day.
The daily problem keeps you consistent. Streaks and the heatmap make that consistency visible.

Start your streak today

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