Ace your coding interviews with 200 practice scenarios on Big O, Graph Traversals, Load Balancing, and Microservices.
Sub Category
- Software Engineering
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Objectives
- Evaluate Time and Space Complexity (Big O Notation) to identify bottlenecks and optimize brute-force code into highly efficient algorithms.
- Master core Data Structures and algorithmic paradigms, including Hash Maps, Two Pointers, Dynamic Programming, and Graph Traversals (BFS/DFS).
- Architect highly available, distributed backend environments using Load Balancers, API Rate Limiting, and Message Queues (Kafka/RabbitMQ).
- Scale databases and memory efficiently utilizing Sharding, Partitioning, and Caching strategies (Redis/Memcached).
Pre Requisites
- A solid foundation in at least one object-oriented programming language (like Python, Java, or C++). Familiarity with basic backend web development is highly recommended for the System Design sections.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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