HomeCoursesGoogle Coding Interview Questions

Beginner

10h

Updated 4 weeks ago

Google Coding Interview Questions

Sharpen your skills with coding problems modeled after real Google interviews—focusing on algorithmic depth, performance under constraints, and clear technical thinking.
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Overview
Content
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Google’s coding interviews assess more than your ability to write working code—they test how you structure ideas, optimize for scale, and communicate your decisions. Whether you're targeting front-end, back-end, or full-stack roles, these problems reflect Google’s high bar for technical rigor, clarity, and creativity. Each coding problem is framed with constraints and interviewer-style prompts to help you code like a Googler, and think like one too.
Google’s coding interviews assess more than your ability to write working code—they test how you structure ideas, optimize for s...Show More

WHAT YOU'LL LEARN

Structured thinking to break down open-ended algorithmic problems.
Fluent use of data structures like graphs, heaps, and hash maps.
Technical articulation of logic, trade-offs, and design decisions under pressure.
Scalable thinking for writing modular, maintainable, and efficient code.
Structured thinking to break down open-ended algorithmic problems.

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Content

2.

Two Pointers

26 Lessons

4.

Sliding Window

29 Lessons

6.

In-Place Manipulation of a Linked List

24 Lessons

9.

Top K Elements

33 Lessons

10.

Modified Binary Search

28 Lessons

12.

Greedy Techniques

31 Lessons

14.

Dynamic Programming

36 Lessons

17.

Sort and Search

31 Lessons

18.

Matrices

31 Lessons

19.

Stacks

26 Lessons

20.

Graphs

31 Lessons

21.

Tree Depth-First Search

31 Lessons

24.

Hash Maps

36 Lessons

25.

Knowing What to Track

30 Lessons

28.

Bitwise Manipulation

30 Lessons

29.

Math and Geometry

35 Lessons

30.

Challenge Yourself

40 Lessons

31.

Conclusion

1 Lessons

Certificate of Completion
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Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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