💡 Struggling with System Design, DSA, JAVA Interviews? You’re not alone.
With so many concepts to learn, it’s easy to feel overwhelmed. But here’s the truth: you don’t need to know everything. In fact, 80% of FAANMG | top product-based company interviews focus on just 20% of the topics.
That’s why I built a guide which covers below:
Part1 : Basic and Advanced Concepts System Design:
…and much more!
Part2 : Real-world HLD (High-Level Design) and LLD (Low-Level Design) detailed analyses — the kind of problems most product companies actually ask in interviews.
Part3: Bonus: Ultimate Cheat Sheet
A quick-reference sheet covering the most important system design concepts — perfect for last-minute review before your interview.
Part4: Modern AI System Design:
🔹 RAG (Retrieval-Augmented Generation)
🔹 Vector Databases
🔹 Embedding Pipelines
🔹 AI Caching Layers
🔹 Model Routing
🔹 Multi-Agent Architectures
🔹 Streaming Inference
🔹 GPU Scheduling
🔹 Prompt Guardrails
🔹 AI Observability
🔹 Token Optimization
🔹 Fine-Tuning Pipelines
Part5: Ultimate AI terms Cheat Sheet
A quick-reference sheet of above ai system design topics.
Part6: DSA Concepts:
Part7: Top 50 DSA Interview Questions with Java Solutions, commonly asked in all top companies.
Arrays(5 Commonly asked Questions)
1. Two Sum
2. Maximum Subarray (Kadane’s Algorithm)
3. Move Zeroes
4. Rotate Array
5. Trapping Rain Water
String (5 Commonly asked Questions)
Linked List(5 Commonly asked Questions)
Tree (5 Commonly asked Questions)
Stack & Queue(5 Commonly asked Questions)
Dynamic Programming (DP)(5 Commonly asked Questions)
Greedy (5 Commonly asked Questions)
Backtracking(5 Commonly asked Questions)
Design (5 Commonly asked Questions)
Part 8:
Most commonly asked questions with right solutions related to JAVA, Spring and Hibernate.
This is a zip folder having 8 modules.
📘 This book not only helps you clear system design, DSA , JAVA concepts but also increases your chances of getting selected in top product-based companies.
Use My coupon code to get 20% discount: AI20, only for next few users.