Welcome to an interactive course designed to help you master Data Structures and Algorithms from scratch.

This course covers the fundamental concepts, problem-solving patterns, and interview questions you need to confidently approach DSA rounds at top technology companies.

Our goal is to help you learn the most important concepts and solve the most relevant problems in a structured and efficient way, so you can recognize patterns, choose the right approach, and solve unfamiliar problems during interviews.

A significant portion of the course is available for free to support the wider developer community. If you find the course valuable and want to go deeper, you can upgrade to Premium to unlock all premium concepts, problems, animations, company tags, AI features and unlimited code submissions.

Below, you’ll find additional resources to support your coding interview preparation, along with course features that make learning more interactive and engaging.

The problems included in below resources are also available within the course, along with a built-in compiler where you can write, run, test, and submit your solutions. You can explore the complete course roadmap on the next page.

If you are new to DSA, we recommend starting with this course first and moving on to the practice resources once you understand the core concepts and can identify common patterns.

If you already know the fundamentals, short on preparation time, or primarily want to practice problems, you can start directly with the resources below.

We also provide dedicated resources to help you practice curated problems by pattern, prepare for company-specific interviews, and simulate realistic coding interviews with AI-powered feedback.

Practice coding interview problems organized by the patterns most commonly tested in interviews.

Use the sheet to track your progress, identify weak areas, and strengthen the pattern-recognition skills needed to solve unfamiliar problems with confidence.

Choose a practice roadmap based on how much preparation time you have:

Prepare for interviews at specific companies with curated lists of problems previously asked at companies such as Google, Amazon, Meta, Microsoft, and Uber.

Practice solving coding problems in a realistic interview environment with an AI interviewer.

Explain your approach, write and test your code, answer follow-up questions, and receive detailed feedback on your problem-solving process, communication, code quality, and complexity analysis.

You do not need to figure out what to learn next.

The course follows a structured roadmap that takes you from fundamental concepts to advanced problem-solving techniques in a logical order.

You will learn:

75+ Problem-Solving Patterns

Problems are classified into highly specific patterns so you can understand the ideas connecting them.

Instead of memorizing hundreds of solutions, you will learn how to recognize familiar patterns and apply the right technique during an interview.

600+ Interview Problems

Practice a carefully curated collection of problems covering the patterns and concepts most frequently tested in coding interviews.

Each problem includes multiple approaches, starting with the most intuitive solution and gradually progressing toward the optimal one.

Every solution explains its time and space complexity so you understand not only how the algorithm works, but also how efficiently it performs.

Algorithms are much easier to understand when you can see them in action.

The course includes interactive animations that walk you through algorithms one step at a time. Code highlighting connects each animation step to the exact line being executed.

You can:

These animations help you build an intuitive understanding of how algorithms work instead of relying only on static explanations.

Learning an algorithm is only the first step. You also need to implement it yourself.

Every practice problem includes a built-in coding environment where you can write, run, and submit your solution without leaving the course.

Example

For each problem, you get:

Concept chapters include quizzes designed to test whether you truly understand the material.

Each quiz provides immediate feedback so you can identify gaps in your understanding before moving forward.

The course also includes a growing library of video lessons covering important DSA concepts, patterns, and interview problems.

Videos provide another way to learn difficult topics through step-by-step explanations, visual examples, and practical coding demonstrations.

New videos and animations will continue to be added as the course expands.

Whether you are learning DSA for the first time, returning after a long break, or preparing for upcoming coding interviews, this course gives you a structured and practical path forward.

For every topic, follow this learning process:

Do not try to memorize every solution. Focus on understanding why an approach works, what clues suggest a particular pattern, and how the solution can be derived during an interview.

Start with the roadmap, stay consistent, and focus on mastering one pattern at a time.

We have tagged each chapter and problem by interview priority and how frequently it appears in coding interviews. To make the best use of your preparation time, prioritize topics marked High or Medium, along with problems rated 3+ for frequency.

You can use the filters on the next page to quickly find and focus on these chapters and problems.

We’re improving the content every day. If you spot an issue or have feedback, please let us know.

About the Author

Ashish Pratap Singh

Software Engineer · Educator · Creator (ex-Amazon, Adobe)

Hi, I’m Ashish, the creator of AlgoMaster.io.

I built AlgoMaster to make coding interview preparation more structured, practical, and enjoyable. A strong foundation in DSA helped me clear interviews at companies including Amazon, Google, and Microsoft.

After solving thousands of problems and going through numerous technical interviews, I created this course to share the most important patterns, preparation strategies, and lessons I learned along the way.