Join the course Starts 22.04.2025
Crack Your FAANG Interview with Confidence ›

Master Algorithms in 12 Weeks

Starts 22.04.2025

Dreaming of landing a coveted role at a FAANG or another top-tier tech company? Success starts with mastering algorithms and problem-solving skills.

Learn More Join the course
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12-week

Live course on Platform

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Led by leaders

From engineers from Google, Snap, and Apple

Why This Course Stands Out

This isn’t just another coding course—it’s a complete system for success created by engineers who’ve walked the path you’re aiming for

Gain unique strategies and behind-the-scenes insights from ex-Google, Snap, and Apple engineers who know what top companies look for
Interact live with instructors, ask questions, and join a supportive community of like-minded learners
Work on questions modeled after real FAANG interviews to ensure your preparation is laser-focused. Every home problem you submit will be personally reviewed by an expert, giving you in-depth feedback on your approach, optimizations, and coding style.
Hone your skills under realistic conditions with a mock interview, boosting your readiness and confidence
Get 24/7 support from our AI-powered assistant, which helps reinforce concepts, provides hints, and checks your understanding—so you never feel stuck.

Why This Course Stands Out

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What You'll Get

  • Live Weekly Lectures:

    Each week, attend an in-depth live session where expert instructors break down critical algorithmic concepts—from arrays and recursion to dynamic programming and graph theory

  • Interactive Practice Sessions:

    Apply your learning in weekly hands-on problem-solving sessions. Solve FAANG-style questions and gain confidence as you build up your problem-solving skills

  • AI-Powered Chatbot:

    Our state-of-the-art AI chatbot is your 24/7 tutor. It helps clarify concepts, provides hints, and evaluates your understanding—making it easier to stay on top of the material

  • Free Mock Interview:

    Each participant will receive a mock interview with personalized feedback from industry experts to simulate real-world FAANG interviews

  • Top Performers Get Referred:

    High achievers in the program may receive referrals to FAANG companies and other leading tech organizations, giving you a direct edge in the hiring process

Syllabus

12 Lessons 14 Quizes 100+ problems
2 mini projects 1 free mock interview
Expand all sections
1

Week 1: Introduction + Arrays and Strings

Arrays and strings form the foundation of most coding interview problems. In this module, you'll learn essential patterns like sliding window, prefix sum and two pointers to solve common challenges such as subarray sums, rotations, and substring searches. You’ll also gain an insider’s overview of how the FAANG coding interview process works, including what to expect, how to prepare, and strategies for success.

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  • Lecture: Overview of FAANG coding interviews and Core problem-solving patterns for arrays and strings: sliding window, two pointers, prefix sums
  • Practice: Live coding exercises on array manipulations and string processing
  • Quiz to test your theoretical understanding of array and string techniques
  • Practical HW: curated problems on arrays and strings
2

Week 2: Hash Tables & Hash Sets in Action

Hash tables are a powerful tool for achieving constant-time lookups and solving problems efficiently. This week introduces the fundamentals of hashing and applies them to real interview questions, including frequency counting, collision resolution, and duplicate detection.

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  • Lecture: Hashing strategies, collision handling, common use cases
  • Practice: Design and implement hash-based solutions
  • Quiz: Concept check on hashing mechanics and applications
  • Homework: curated problems on hash maps and sets
3

Week 3: Linked Lists - From Basics to Tricky Patterns

Linked lists frequently appear in interviews due to their unique pointer-based structure. You’ll master operations such as reversing, merging, and other, which are often tested in technical screens.

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  • Lecture: Singly, doubly, and circular linked lists; key operations
  • Practice: Live coding exercises on Lists
  • Quiz: theoretical questions on linked list manipulation
  • Homework: Coding exercises
4

Week 4: Mastering Stacks & Queues for Problem Solving

Stacks and queues are versatile data structures used for parsing expressions, managing tasks, and solving search problems. Learn to apply them to real-world coding interview scenarios.

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  • Lecture: Principles of stacks and queues, and interview use cases
  • Practice: Implement stacks/queues, solve monotonic stack problems
  • Quiz: theoretical questions to make sure you understand the concepts
  • Coding exercises
5

Week 5: Sorting & Searching Strategies

Sorting and searching are fundamental algorithmic skills. This module covers both basic and advanced sorting methods and delves into binary search applications that go beyond simple lookups, including complex search space problems.

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  • Lecture: sorting algorithms, binary search techniques
  • Practice: Live coding exercises on sorting and binary search
  • Quiz: questions on sorting complexities and search patterns
  • Coding exercises
6

Week 6: Heaps & Priority Queues - Efficient Scheduling and Optimization

This week focuses on heaps and priority queues, powerful data structures essential for solving scheduling and optimization problems in coding interviews. You’ll learn to implement heaps from scratch, apply them in real-world scenarios like task scheduling and top-k problems, and optimize your solutions for efficiency.

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  • Lecture: Basics and applications of heaps
  • Practice: Live coding session on heap applications
  • Quiz on Heaps and Semi-course quiz for first 6 weeks
  • Coding exercises and mini-project
7

Week 7: Trees and Tries - Traversals, BST

Trees are hierarchical data structures that often appear in coding interviews. You’ll learn tree traversals, solve problems related to tree depth and symmetry, BST fundamentals, balanced trees, trie, and implement algorithms to view trees from different perspectives.

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  • Lecture: Binary tree traversals, BST basics, balanced trees and trie overview
  • Practice: live coding session to cover the most common interview problem patterns
  • Quiz: questions to strength trees understanding
  • Coding exercises
8

Week 8: Graphs Basics - Traversals & Shortest Paths

Graphs model relationships and networks, commonly used in search problems. You’ll explore BFS and DFS for graph traversal and tackle interview problems like finding connected components and shortest paths.

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  • Lecture: Graph representations, BFS and DFS fundamentals
  • Practice: Implement graph traversals and solve graph common interview questions
  • Quiz: conceptual and practical graph questions
  • Coding exercises
9

Week 9: Advanced Graph Algorithms & Union-Find

Advanced graph problems require mastering algorithms like Union-Find for cycle detection and Kruskal’s or Dijkstra’s for optimization. This week helps you handle complex graph scenarios often asked in FAANG interviews.

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  • Lecture: Union-Find, Topological Sort, and shortest path algorithms
  • Practice: Live coding session with common advanced graph interview problems
  • Quiz: advanced graph algorithms
  • Coding exercises
10

Week 10: Dynamic Programming - Core Concepts

Dynamic programming (DP) is essential for solving optimization problems efficiently. Learn to recognize overlapping subproblems, set up DP states, and solve classic DP problems like knapsack and longest common subsequence.

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  • Lecture: DP fundamentals, memoization vs tabulation
  • Practice: Implement DP solutions for common patterns
  • Quiz: questions testing DP intuition and pattern recognition
  • Coding exercises
11

Week 11: Dynamic Programming - Advanced

This week is dedicated to mastering advanced DP techniques through challenging problem-solving. You'll tackle complex DP scenarios and refine your skills to excel in high-stakes coding interviews.

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  • Lecture: Advanced DP techniques
  • Practice: Implement DP solutions for common advanced patterns
  • Quiz: Final comprehensive quiz
  • Coding exercises
12

Week 12: Math and Bit Manipulation & Mock Interviews

This week covers advanced math concepts and bit manipulation techniques essential for coding interviews. You’ll practice advanced problems and participate in mock interviews to prepare for high-stakes coding rounds.

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  • Lecture: Key math concepts
  • Practice: homework problem discussion
  • Quiz: Final comprehensive quiz
  • Mock interview assessment + final take-home coding challenges

Who Should Join?

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Students and Recent Grads

Build a strong foundation in algorithms and data structures

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Self-Taught Programmers

Fill in any gaps and gain the confidence to tackle even the toughest questions

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Experienced Developers

Refine your skills and prepare for a career leap into FAANG or other leading tech firms

Reviews

Sean

ML Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Nick is an excellent computer science instructor with a strong understanding of data structures and algorithms, and the underlying mathematics involved. I started taking lessons with Nick to review my algorithms fundamentals for interview preparation. Not only is Nick’s conceptual knowledge extremely comprehensive, Nick’s teaching style is patient and encouraging, making it comfortable to ask questions. On many occasions, Nick has walked me through my curious questions and sticking points down to the low-level fundamentals or mathematical proofs, which I find a thorough and satisfying way to learn. I would strongly recommend Nick as an instructor to anyone of any level interested in learning or reviewing ML and DS&A.

Thomas

Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Nick’s data structures and algorithms lessons not only massively helped me prepare for FAANG interviews, but also made me much more confident in my programming abilities as an engineer in my current role. Nick’s strong programming fundamentals shine in how he is adeptly able to break down complex problems. Additionally, his knowledge of the underlying mathematics and willingness to explain concepts to the lowest level of detail make lessons very fulfilling. Nick really takes it seriously to help students understand algorithmic concepts, and as a result, I have grown a genuine enjoyment and interest in algorithms and the mathematics involved.

Kaleb

Senior Python Developer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Thank you so much Nick. Due to your brave insights and callouts. I received verbal confirmation from recruiter that I have passed the onsite interview. I am very grateful that you took the time to prepare me to the interview and provide crucial and valuable feedback. I was able to work on the concepts you pointed out and improved well enough to pass the Meta interview. Many thanks again.

YuYang

Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Hi Nick, Hope you have a nice weekend. I truly appreciate your help for my coding interview. I'm glad to share that I got the offer from Amazon! Your tips and lessons did help me performed better during the interview. Once again, thank you for the help for my interview!

Nanda

Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Thanks a lot, Nick! Our sessions were really helpful and thank you for all the feedback and suggestions.

George

Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

This was a great session, thank you. I learned a lot and feel more confident with the progress made since our last session.

Neal

Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Thank you Nick for all the feedback today! It was a SUPER helpful session - especially the feedback. This was a great calibration to realize the areas I need improvement on before heading into the real thing. I really appreciate all the time, and hope to work with you again soon! Warmest Regards, Neal

Conner

Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Thanks for the coaching sessions! I really enjoyed them and appreciate your valuable feedback and information on how to prepare better for my upcoming interviews.

Shravanthi

Backend Developer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Really helped me fill the gaps in my learning and interview problem solving approach. Thank you

Jerry

Senior Software Engineer

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
5/5

Thank you for sharing extra knowledge with me, Nick

Start Your Journey to FAANG Today!

By the end of the 12 weeks, you’ll be ready to:

Confidently solve complex algorithmic problems under pressure Ace technical interviews with structured problem-solving skills Gain real-world insights and strategies from industry veterans Stand out with mock interview experience Potential referrals to FAANG companies!

How to Book the Course

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Signing up

It’s simple! Select a plan, choose your payment method, and submit your request

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Quick response

Our team will get back to you within 24 hours with the next steps and answer any questions you may have

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Start your journey!

Secure your spot today and start your journey toward mastering FAANG interviews!

Pricing Plans

$700 /Per 4 weeks

Pay over Time

Pay in installments every 4 weeks

  • Full access to all course materials
  • 1 free mock interview
  • Chat support
  • AI Assistant
  • Referral for top performers
  • Feature 6
Apply

$1800 Most Popular

Full Payment

Pay at once

  • Full access to all course materials
  • 1 free mock interview
  • Chat support
  • AI assistant
  • Referral for top performers
  • Feature 6
Apply

About the Instructor

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Your instructor is a seasoned Software and Machine Learning Engineer and Algorithm Expert with a deep passion for problem-solving and teaching

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    Competed in algorithmic contests throughout school and university, developing a strong foundation in competitive programming

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    Worked at Google, Snap, and Apple, contributing to large-scale systems and cutting-edge AI technologies

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    Holds two patent applications in the field of Generative AI, showcasing innovation in the latest advancements of artificial intelligence

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    Recognized as a top coach on a leading mock interview and software engineering mentorship platform, having conducted 100+ mock interviews with an average rating of 4.95/5

Instructor

FAQ

1

How much time should I dedicate per week?

On average, students spend 5-10 per week practicing problems and attending sessions

2

What programming languages can I use?

This course is language-agnostic, meaning you can use any programming language commonly accepted in FAANG interviews, such as Python, Java, C++, or JavaScript. However, the course materials, code examples, and optimization techniques will primarily be provided in Python and C++, as they are widely used for competitive programming and technical interviews.

3

Can I access the course after completion?

Yes, you’ll have lifetime access to the recorded lectures, materials and students chat.

4

Will this course guarantee a FAANG job?

While we can’t guarantee job placement, we provide the best preparation resources and strategies to maximize your chances of success.

5

Is there a refund policy?

If you don’t like the course, you can leave with a full refund after the first lecture.

6

In which timezone are the live lectures and practice sessions?

The live lessons are scheduled in the evening (CET timezone) to accommodate most participants. If you’re in a different timezone, you can still access recorded sessions and study at your own pace. Plus, our discussion forums and mentor support are available to help you anytime!

Contact us

Enroll Now and Let's Crack That FAANG Interview Together! 💪

Enroll Now 💪

and Let’s Crack That

FAANG Interview Together!

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Dreaming of landing a coveted role at FAANG or another top-tier tech company? Success starts with mastering algorithms and problem-solving skills.
Contact: contact@bynicky.ai

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