This course contains the use of artificial intelligence.
Master core algorithms and system architecture with hands-on Python practice.
Python DSA: LEETCODE Exercises — Sorting, Searching, Greedy, Bit Manipulation & System Design
Prepare to crack high-paying technical interviews and level up your engineering skills with this targeted, problem-driven practice course. Built specifically for software engineers, computer science students, and tech professionals, this course focuses on the most high-yield algorithmic topics and foundational System Design principles asked by top-tier tech companies.
Whether you are preparing for FAANG/MAANG coding rounds, competitive programming contests, or senior developer assessments, this course bridges the gap between pure algorithm design and scalable system architecture. Every exercise includes a clear breakdown of the logic, step-by-step Python code, and deep dives into time and space efficiency.
Unlike theoretical lectures, this course emphasizes learning by doing. You won’t just memorize solutions—you will learn how to spot core patterns, choose the right data structures, optimize trade-offs, and design systems that scale.
What You’ll Learn
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Master LeetCode-style problems across modern interview domains using clean, idiomatic Python.
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Identify key algorithmic patterns in Sorting, Searching, Greedy choices, and Bitwise operations.
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Write optimized, production-ready code with rigorous Big-O time and space complexity analysis.
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Grasp core System Design fundamentals, including scalability, load balancing, caching, and distributed storage.
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Think like an interviewer: Learn how to communicate trade-offs, edge cases, and optimization strategies clearly.
Topics Covered
Algorithms & Problem Solving
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Searching: Binary Search, Search Space Reduction, Ternary Search, Matrix Search
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Sorting Algorithms: QuickSort, MergeSort, HeapSort, Counting Sort, Custom Sorting Rules
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Greedy Algorithms: Interval Scheduling, Fractional Knapsack, Activity Selection, Minimum Spanning Trees
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Bit Manipulation: Bitwise Operators, Masking, Single Number Problems, XOR Tricks, Bit Counting
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Algorithmic Patterns: Two Pointers, Sliding Window, Divide & Conquer
System Design Essentials
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Scalability Basics: Vertical vs. Horizontal Scaling, Load Balancers, Reverse Proxies
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Database & Caching: SQL vs. NoSQL, Redis, Caching Strategies (LRU/LFU), Indexing
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System Architecture: Microservices, Message Queues (Kafka/RabbitMQ), Rate Limiters, Consistent Hashing
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High-Level Design (HLD) Walkthroughs: Designing a URL Shortener, Key-Value Store, and Notification System
Course Features
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Targeted LeetCode-Style Exercises: Curated, high-frequency questions directly from modern tech interviews.
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Complete Python Implementations: Clean, commented code using standard Python libraries (collections, heapq, bisect).
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Dual Focus: Master low-level algorithmic efficiency and high-level system architecture in one place.
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Step-by-Step Walkthroughs: From naive brute-force approaches to fully optimized solutions.
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Self-Paced & Practical: Designed for flexible, high-impact learning.
Why Take This Course?
Interviewing at top product-based companies requires two critical skills: algorithmic speed and architectural thinking.
This course gives you both. By mastering targeted algorithm patterns alongside real-world system design principles, you will build the confidence needed to solve complex coding challenges on the spot and discuss system trade-offs like a senior engineer.
Start coding, master system architecture, and land your dream tech role today!
