BIG-O LEETCODE MASTERY: AI-NATIVE EDITION

(Conquer Algorithms & Big Tech Interviews in the Era of Artificial Intelligence)

Have you ever found yourself in these situations:

  • Copying code from ChatGPT but being unable to explain why it works?

  • Mastering syntax but “freezing” when encountering a Medium problem on LeetCode?

  • Code running perfectly on your machine but constantly receiving “Time Limit Exceeded” errors when submitting?

Welcome to LEETCODE MASTERY: AI-NATIVE EDITION – A course designed to transform AI into a powerful “partner,” helping you accelerate your problem-solving 2-3x while still fully mastering the core algorithms.

Instruction Languages: Demonstrated in the 3 most widely used languages today: C++, Python, and Java.

Course Tuition:

Additionally, for more detailed consultation regarding the LeetCode course, you can contact us via our fanpage: Big-O Coding

To register for the course, please fill out your information here

WHO IS THIS COURSE FOR?

  • LeetCode Beginners: You have mastered the basics (loops, arrays, functions) and want to build a structured roadmap and problem-solving reflexes.

  • Job Seekers: Sharpen your algorithmic thinking and problem-solving skills to confidently conquer Coding Interviews.

  • Experienced Developers: Systematize advanced knowledge and optimize code performance to advance your career.

  • If you do not yet fit these categories, please call us at: 0937.401.483 for a consultation to find the most suitable class for you.

COURSE ILLUSTRATION EXERCISES

  • 100% English exercises.
  • Practice on interview systems such as Leetcode, Hackerrank, Geeksforgeeks,…
  • In addition, practice exercises on the Big-O Coder system.
  • Teach additional knowledge when students lack.

TIME AND LOCATION

  • Learning Format: Interactive Online via Microsoft Teams.
  • Duration: Divided into 2 Intensive Courses (16-week roadmap).
  • Each Course: 8 weeks, including 16 hands-on sessions.
  • Frequency: 2 sessions/week, 150 minutes per session.

WHAT MAKES THE COURSES AT BIG-O CODING DIFFERENT

1. TRAINING PHILOSOPHY: “AI-NATIVE, NOT AI-DEPENDENT”

  • AI Solution Critique: Prompting AI to provide multiple approaches while you evaluate the complexity trade-offs.
  • Socratic Debugging: Instead of asking for the answer, you use AI as a Mentor to suggest edge cases and fix bugs on your own.
  • AI Visualizer: Leveraging AI to visualize Dynamic Programming tables (DP Tables) or BFS/DFS execution flows directly during class.

2. CORE VALUES: PRACTICAL & INTERACTIVE

  • 100% Live Coding: Say no to heavy Slides. Every session is a real-time coding experience where instructors and students dissect problems together.
  • Hands-on Curriculum: Each session includes at least 5 LeetCode problems curated from actual interview questions of Google, Meta, Amazon…
  • Battle-ready Spirit: You are not just a follower. You are encouraged to turn on your mic, challenge the instructor, propose your own solutions, and defend them.
  • Pattern-based Learning: Instead of solving isolated problems, we train you to identify “Thinking Patterns” so you can solve hundreds of similar problems after just one session.
  • AI Rebuttal: A unique activity where you apply your knowledge to “fact-check” AI or push it to provide more optimal solutions.

LEETCODE COURSE SYLLABUS

COURSE 1: LINEAR STRATEGY & GENERAL TRAVERSAL

(Focus on linear optimization techniques and general “Enumeration” thinking).

Complexity analysis, Prefix Sum techniques, and the Two Pointers method (converging and same-direction).
Master the Sliding Window technique (fixed/flexible) and pointer manipulation in linked lists.
Monotonic Stack (finding the nearest greater element) and advanced binary search on the answer space.
General state-space traversal thinking applied to Trees, Graphs, and 2D Matrices.

COURSE 2: ADVANCED STRUCTURES & DP INTENSIVE

(Master complex data structures and the most challenging skill: Dynamic Programming).

In-depth study of Graphs, Priority Queues (Heaps), and Prefix Trees (Tries).
Greedy algorithms, Disjoint Set Union (DSU) for managing connected components, and backtracking techniques.
6 intensive hands-on sessions tackling all major types: 1D DP, Matrix DP, Knapsack DP, String DP, and Interval DP.
The shortest path algorithm (Dijkstra) and a final mock interview session with AI-powered feedback.