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Grokking LinkedIn Coding Interview

0h 0m 0s
English
Paid

This comprehensive course is specifically designed to prepare candidates for programming interviews at LinkedIn, offering a detailed study of the 40 most frequently asked questions in interviews. It will become an indispensable tool for anyone striving to succeed in the competitive technical interview process at LinkedIn.

The course focuses primarily on practical, interactive learning—participants will be able to practice and hone their skills in solving typical interview tasks directly in the browser. By concentrating on key aspects and real-world examples, the course helps in confidently and accurately answering questions of any complexity level.

The course program is aimed at developing problem-solving skills, enhancing coding efficiency, as well as deepening knowledge in the field of algorithms, data structures, and typical programming patterns, which are especially important for successfully passing interviews at LinkedIn.

The course is suitable for both beginner developers, who wish to build a strong foundation for preparation, and experienced professionals, looking to refresh their knowledge and increase their chances of success.

Each question in the program is carefully selected to accurately reflect real tasks encountered in LinkedIn interviews, making the course a truly valuable tool for anyone dreaming of becoming part of the LinkedIn team.

Additional

  • This is a text-based course. Please download the archive to get started.

About the Author: Design Gurus

Design Gurus thumbnail

Design Gurus (designgurus.io) is the technical-interview-preparation platform founded by Arslan Ahmad, a former engineer at Facebook, Microsoft, and Hulu. The platform is best known for the Grokking the System Design Interview course — one of the most widely-used resources for the system-design portion of senior engineering interviews — alongside a deep catalog of coding-interview, behavioural, and ML / data-system design preparation material.

The Design Gurus approach is pattern-based: rather than memorising specific problems, the courses teach the recurring patterns (sliding window, two pointers, monolithic architecture, sharding strategies) that recur across interview question categories. The result is preparation that scales — engineers who study the patterns can solve problems they've never seen before, which is closer to what interviewers are actually testing for.

The CourseFlix listing under this source carries over 30 Design Gurus courses spanning coding interviews, system design, machine-learning system design, mobile system design, behavioural interviews, and the senior-level material aimed at staff-and-above engineering positions. Material is paid and aimed at engineers preparing for technical interviews at large tech companies.

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Frequently asked questions

Who is the target audience for this course?
The course is designed for both beginner developers and experienced professionals. Beginners can build a strong foundation for technical interview preparation, while experienced developers can refresh their knowledge and increase their chances of success in LinkedIn coding interviews.
What topics are emphasized in the course?
The course emphasizes problem-solving skills, coding efficiency, and deepening knowledge in algorithms, data structures, and typical programming patterns. These are critical areas for successfully passing technical interviews, especially at LinkedIn.
Does the course include real-world examples?
Yes, the course includes real-world examples by focusing on solving typical interview tasks directly in the browser. This helps participants confidently and accurately tackle questions of varying complexity levels.
What is the format of the exercises in the course?
Participants will engage in practical, interactive learning by solving typical interview tasks directly in the browser. This hands-on approach is designed to simulate real interview conditions and enhance problem-solving skills.
Is there any specific software or tools required for the course?
The course does not specify any external software or tools. The interactive exercises are completed directly in the browser, which simplifies the learning process by eliminating the need for additional installations.
What kind of commitment is required for this course?
The course does not list a specific runtime or number of lessons, which suggests flexibility in how participants can engage with the material. Time commitment will depend on individual pacing and the depth of practice each participant undertakes.
What skills will be beneficial after completing this course?
Participants will gain enhanced problem-solving skills, improved coding efficiency, and a deeper understanding of algorithms, data structures, and programming patterns. These skills are applicable not only to LinkedIn interviews but also to other technical interviews and software development roles.