DSA + Coding Interview Mastery
The structured, honest path to passing technical interviews at top US companies.
Lifetime access · Certificate included · US timezone sessions
The 30-minute demo is free, needs no card, and carries no obligation. If we aren't the right fit for your goals, we'll tell you.
- Tutorials finished, but nothing deployed you can show
- A resume that lists coursework instead of shipped work
- Freezing when an interviewer asks you to explain a decision
- Unsure which skills US employers actually screen for
- 4 deployed projects with real source code
- A US-format resume built around what you shipped
- Mock interviews with written feedback, before the real one
- A clear path toward Software Engineer (Big Tech)
Who this course is for
This course was designed around specific situations. If one of these sounds like you, you're in the right place.
What you'll learn
By the end of this course you will be able to do each of the following in real projects, not just in exercises.
Recognise the underlying pattern in an unfamiliar problem quickly
Analyse time and space complexity accurately under pressure
Implement every core data structure from memory
Communicate your reasoning clearly while coding
Handle system design and behavioural rounds with structure
Your learning roadmap
The course runs in phases. Each one ends with a concrete milestone, so you always know whether you're on track.
- 1
Foundations & Core Structures
Weeks 1–5Focus: Building blocks
What you'll do
- Master arrays, strings, hashing and two-pointer techniques
- Analyse complexity correctly, including amortised cases
- Implement linked lists, stacks and queues from scratch
- Establish a daily practice and spaced-repetition routine
MilestoneSolve 120 foundational problems with consistent pattern identification.
- 2
Trees, Graphs & Recursion
Weeks 6–10Focus: Non-linear thinking
What you'll do
- Traverse trees and graphs with BFS, DFS and their variants
- Handle binary search trees, heaps and tries
- Write recursion and backtracking confidently
- Recognise when a problem is secretly a graph problem
MilestoneSolve medium graph and tree problems within interview time limits.
- 3
Dynamic Programming & Advanced Topics
Weeks 11–14Focus: The hard tier
What you'll do
- Derive DP recurrences systematically instead of memorising solutions
- Move between memoisation and tabulation fluently
- Handle intervals, greedy proofs and bit manipulation
- Approach unseen hard problems with a repeatable method
MilestoneSolve classic DP problems from first principles, not recall.
- 4
System Design & Mock Interviews
Weeks 15–16Focus: The full loop
What you'll do
- Structure system design answers around requirements and tradeoffs
- Answer behavioural questions with the STAR method credibly
- Perform under time pressure with an interviewer watching
- Negotiate offers and evaluate compensation packages
MilestoneComplete four recorded mock interviews with written feedback.
Everything you'll cover
A map of the whole curriculum at a glance — every major area and the topics inside it.
- Two pointers
- Sliding window
- Prefix sums
- Sorting
- Binary search
- Linked lists
- Stacks
- Queues
- Deques
- Monotonic stacks
- Traversals
- BST
- Heaps
- Tries
- Segment trees
- BFS/DFS
- Topological sort
- Union-Find
- Dijkstra
- Cycle detection
- 1D DP
- 2D DP
- Knapsack
- LCS patterns
- State compression
- Complexity analysis
- Communication
- System design
- Behavioural
- Negotiation
Week-by-week syllabus
A structured breakdown of exactly what you'll cover, week by week.
Projects you'll build
You finish with a portfolio of deployed work — the thing hiring managers actually look at.
Pattern Playbook
A personal reference of every recurring problem pattern with your own worked examples.
500-Problem Progression
A structured, spaced-repetition problem set from easy through hard with tracked review.
System Design Portfolio
Written designs for five classic systems with tradeoff analysis.
Recorded Mock Loop
A full four-round interview loop recorded with written mentor feedback.
Where this course can take you
Typical roles this course prepares you for, with current US market compensation ranges.
| Role | US salary range | Demand |
|---|---|---|
| Software Engineer (Big Tech) | $130,000 – $200,000 total comp | Very high |
| Software Engineer (Mid-size) | $100,000 – $150,000 | Very high |
| New Grad Software Engineer | $95,000 – $145,000 | High |
| Backend Engineer | $105,000 – $160,000 | Very high |
Salary ranges are indicative market figures for reference, not guarantees of employment or compensation.
Prerequisites
- Working knowledge of at least one programming language
- Ability to write functions, loops and use arrays without reference
- No prior algorithms coursework required
Tools you'll use
Frequently asked questions
How long does it take to prepare for a coding interview?
For most people with some programming background, three to four months of consistent daily practice. This course is structured over sixteen weeks at roughly 12 hours per week. Cramming for two weeks rarely works because pattern recognition builds through spaced repetition.
Which programming language should I use in interviews?
Python is the most common choice because it minimises boilerplate and lets you express ideas quickly. Java and C++ are equally acceptable and sometimes preferred at companies with those stacks. Use whichever you can write fluently without looking things up — the course provides solutions in all four.
Is grinding LeetCode enough on its own?
Usually not. Volume without pattern extraction produces people who have solved 500 problems and still fail interviews, because they memorised solutions rather than learning to recognise structure. This course is built around pattern identification, spaced repetition and explaining your reasoning aloud.
Do I need system design for entry-level roles?
New-grad loops usually include a light design discussion rather than a full system design round, and mid-level roles onward include it properly. The final phase covers a structured approach that works at both levels.
What happens in the mock interviews?
You complete four timed sessions with a mentor acting as interviewer — two algorithmic, one system design and one behavioural. Each is recorded and returned with written feedback on correctness, communication and specific things to change.