The "Advanced Algorithms" course is a comprehensive guide to fundamental data structures and algorithms required to excel in technical interviews. This course is suitable for both beginners and those looking to deepen their knowledge of algorithms and data structures. Upon completion, you'll be well-prepared for successful technical interviews and proficient in solving a wide range of problems using advanced algorithms.
Advanced Algorithms
7h 36m 10s
English
Paid
Advanced Algorithms is a 22-lesson 7 hours 36 minutes self-paced course by NeetCode. The "Advanced Algorithms" course is a comprehensive guide to fundamental data structures and algorithms required to excel in technical interviews.
Course facts
- Lessons
- 22
- Duration
- 7 hours 36 minutes
- Language
- English
- Instructor
- NeetCode
- Price
- Premium
Who teaches Advanced Algorithms? NeetCode
NeetCode (neetcode.io) is the technical-interview-preparation platform of Navi (formerly an engineer at Google), behind one of the larger DSA-focused YouTube channels online. NeetCode's distinctive contribution is the curated NeetCode 150 and NeetCode 250 problem lists — pattern-grouped sets of LeetCode questions that have become a default reference for engineers preparing for the algorithm portion of senior tech-company interviews.
The course catalog covers algorithms and data structures in depth, system design for senior interviews, the OOP / design-patterns material that shows up in low-level design rounds, and the broader interview-prep landscape. Material is taught in Python, Java, and JavaScript with the same problem solved across multiple languages.
The CourseFlix listing under this source carries 7 NeetCode courses spanning that range. Material is paid; NeetCode runs on per-course or membership pricing on the original platform. Courses are aimed at engineers preparing for technical interviews at large tech companies.
What lessons are included in Advanced Algorithms?
0:00
/ #1: 0. Kadanes Algorithm
All Course Lessons (22)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 0. Kadanes Algorithm Demo | 08:27 | |
| 2 | 1. Sliding Window Fixed Size | 21:42 | |
| 3 | 2. Sliding Window Variable Size | 16:04 | |
| 4 | 3. Two Pointers | 10:14 | |
| 5 | 4. Prefix Sums | 12:34 | |
| 6 | 5. Fast and Slow Pointers | 24:26 | |
| 7 | 6. Trie | 16:09 | |
| 8 | 7 - Union-Find | 20:22 | |
| 9 | 8 - Segment Tree | 27:15 | |
| 10 | 9 - Iterative DFS | 24:05 | |
| 11 | 10 - Two Heaps | 22:25 | |
| 12 | 11 - Subsets | 22:15 | |
| 13 | 12 - Combinations | 17:02 | |
| 14 | 13 - Permutations | 17:33 | |
| 15 | 14 - Dijkstra's | 22:45 | |
| 16 | 15 - Prim's | 23:53 | |
| 17 | 16 - Kruskal's | 11:20 | |
| 18 | 17 - Topological Sort | 30:05 | |
| 19 | 18 - 0 / 1 Knapsack | 28:15 | |
| 20 | 19 - Unbounded Knapsack | 29:58 | |
| 21 | 20 - LCS | 32:25 | |
| 22 | 21 - Palindromes | 16:56 |
Unlock unlimited learning
Get instant access to all 21 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionWhat courses are similar to Advanced Algorithms?
Updated 6mo agoC#/.NET Interview Mastery: Hands-On Edition (2026)
By: Code MazeA structured course for preparing for technical interviews in C# and .NET, covering key topics from syntax to architectural patterns.
Updated 10mo agoGrokking Prompt Engineering for Professional Portfolio and Job Search
By: Design GurusBuild a clear and strong portfolio with this course on prompt engineering. You will learn how to use AI to shape your resume, write better cover letters.
Updated 2y agoPython Data Analysis & Visualization Masterclass
By: UdemyWelcome to (what I think is) the web's best course on Pandas, Matplotlib, Seaborn, and more!20h 17m
Updated 2y agoPython & LeetCode | The Ultimate Interview BootCamp
By: K. A. EducationI know LeetCode questions are meant to be difficult, but do not worry! I made it a priority to present each problem in the most simplistic and direct way.8h 35m5/5
UpdatedSuccessful Job Application
By: Andreas KretzA complete data engineering job-search course covering resumes, ATS, LinkedIn branding, interviews, and salary negotiation.3h 20m5/5
Updated 10mo agoRelational Database Design and Modeling for Software Engineers
By: Design GurusPrepare for technical interviews with a course on relational databases. Learn about normalization, ER diagrams, and relational schemas through real-world exampl
UpdatedGrokking Database Fundamentals for Tech Interviews
By: Design GurusLearn how databases scale: sharding, replication, and fault tolerance explained with clear examples for engineers prepping for tech interviews.
More courses by NeetCode
ClassicAlgorithms and Data Structures for Beginners
Before starting the course, let s go a little bit over what will be taught, who it is for and what you will need to succeed.8h 22m5/5
Updated 3y agoObject-Oriented Design Interview
Prepare for your object-oriented design interviews with this comprehensive course.1h 49m
Updated 3y agoFull Stack Development
This course will take you on a journey to become a full-stack developer. You will learn how to build and deploy a modern web application from the ground up.4h 24m
Updated 3y agoSystem Design Interview
Prepare for your system design interviews with this comprehensive course. System design interviews are a crucial part of the tech interview process, and this co4h 9m
Updated 3y agoSystem Design for Beginners
The course "System Design for Beginners" is the key to understanding the fundamentals of designing scalable and efficient software systems.5h 21m3/5
Updated 3y agoObject-Oriented Design Patterns
Design patterns are a way to solve commonly occurring problems in software engineering.1h 14m5/5
Frequently asked questions
What prerequisites are needed to enroll in the Advanced Algorithms course?
The course is designed for both beginners and those looking to deepen their understanding of algorithms and data structures. However, a basic understanding of programming concepts and familiarity with at least one programming language is recommended to follow the lessons effectively.
What types of projects or exercises will I work on during the course?
Students will engage in problem-solving exercises involving fundamental data structures and algorithms. Lessons cover practical applications such as implementing Kadanes Algorithm, working with Trie structures, and solving knapsack problems. These exercises aim to enhance problem-solving skills needed for technical interviews.
Who is the target audience for this course?
The course is intended for individuals preparing for technical interviews who wish to strengthen their algorithm and data structure skills. It is suitable for beginners and those seeking to expand their existing knowledge base in algorithmic problem-solving.
What specific tools or algorithms will the course cover?
The course covers a variety of algorithms and data structures, including Kadanes Algorithm, Sliding Window techniques, Tries, Union-Find, Segment Trees, Dijkstra's, Prim's, and Kruskal's algorithms. This comprehensive coverage ensures students gain a robust understanding of essential concepts.
What is not covered in the Advanced Algorithms course?
The course focuses on algorithms and data structures relevant to technical interviews. It does not cover advanced topics like machine learning algorithms, databases, or specific programming language syntax. Students will need to seek additional resources for topics beyond the scope of technical interview preparation.
How much time should I expect to commit to this course?
The course consists of 22 lessons. While the total runtime is not specified, students should allocate additional time for practicing exercises and reviewing each lesson. A consistent study schedule is recommended to thoroughly grasp the material.
How will the skills learned in this course be applicable to my career?
The skills gained from this course are directly applicable to technical interviews, a crucial step in many tech careers. Mastery of algorithms and data structures will not only aid in interviews but also enhance problem-solving capabilities in software development roles, making candidates more competitive in the job market.