FDE-1.04-Intermediate DSA

You'll receive a comprehensive, hosted-ready markdown guide that teaches you the intermediate data structures, dictionaries, sets, and tuples; plus the problem-solving instincts every engineer needs: an intuitive feel for speed (Big-O), linear and binary search, sorting by custom keys, and recursion, all paired with a dedicated 5-step framework for solving DSA problems alongside an AI assistant instead of just pasting a problem and accepting the first answer.

Who it's for: Learners who've completed FDE 1.01–1.03 (or already know Python functions and lists), and early-career developers (SDE-1 or below) who can write working code but haven't been taught to reason about why a dictionary or set beats a list for a given problem, or how to catch a slow, nested-loop solution before it ships.

Why it's valuable: Every real engineering problem is really a question of "which structure fits, and is this fast enough?", and this guide is the only beginner resource that pairs those fundamentals with the exact AI-prompting discipline Forward Deployed Engineers use to get a correct and efficient solution, not just one that happens to work on the example. Most "learn DSA" resources jump straight to interview-style problems; this one builds the foundation those problems assume you already have.

🛠️ Tools You'll Need:

• Free: Python 3, VS Code, a free-tier AI chat assistant (Claude/ChatGPT), and a terminal (already set up if you completed FDE 1.01)
• Everything in this module works entirely on free tools; no paid software required

📚 How to Practice:

• Work through the 3-tier hands-on exercises in Section 13 in order: guided walkthrough, then independent practice, then the mini-capstone
• Each exercise includes exactly how to verify you succeeded, including edge cases like empty lists and ties — don't skip that step
• Use the AI-prompting framework from Section 11 deliberately during the capstone, restate the problem, name the pattern, ask for the approach and complexity before code, then trace the AI's function by hand

💰 Value Proposition: Why ₹19 is Unbeatable

Market Comparison:

• Udemy "Data Structures & Algorithms" courses: ₹499-999
• Coursera Specialisations: ₹5,000–15,000
• Bootcamp prep programs: ₹15,000–50,000+
• 1-on-1 mentoring: ₹2,000–5,000/hour
• This guide: ₹19 (one-time)

What You're Saving:

• ⏰ 10+ hours of scattered, inconsistent free tutorials
• 💸 ₹2,800+ versus the cheapest paid alternative
• 🎯 A single focused sitting instead of a multi-week course
• ✅ An AI-prompting framework for DSA problems you won't find in any generic course

ROI Example: One O(n^2) script caught before it ships — the one that works fine on 50 test rows and times out on a client's 2-million-row dataset — saves more time and client trust than this entire guide costs. Your ₹19 pays for itself the first time it prevents one slow, unverified solution from reaching production.