Master Data Structures, Algorithms, System Design & SQL. Crack the toughest back-end interviews at top tech companies.
π₯ 757 students
π September 2025 update
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- Course Overview
- A complete 2025 masterclass for aspiring and current back-end developers.
- Prepares you for the toughest technical interviews at top global tech companies.
- Future-proofed curriculum reflecting 2025 industry trends and interview patterns.
- Focuses on advanced Data Structures, Algorithms, System Design, and expert SQL.
- Develops a strategic problem-solving mindset and effective interview communication.
- Ideal for individuals targeting FAANG and high-growth tech firms.
- Structured, actionable plan leveraging extensive interview insights.
- Requirements / Prerequisites
- Foundational Programming: Solid grasp of one language (Python, Java, C++, JavaScript), including basics and OOP.
- Basic Computer Science: Familiarity with Big O notation, fundamental data types, and elementary data structures.
- Commitment: Dedication to consistent, rigorous practice is essential.
- Interest: Genuine enthusiasm for server-side logic, database management, and scalable applications.
- Environment: Access to a computer, internet, IDE, and relevant language environments.
- Aptitude: Desire to break down complex problems into solvable components.
- Skills Covered / Tools Used
- Advanced Data Structures:
- Heaps & Priority Queues: Implementations for scheduling and top-K problems.
- Tries: Efficient string matching, autocomplete, and dictionary applications.
- Graphs: Representations, BFS/DFS, topological sort, and strongly connected components.
- Segment Trees & BIT: Optimized range queries and dynamic updates.
- DSU: Connectivity problems and Kruskal’s algorithm.
- Complex Algorithms:
- Dynamic Programming: Optimal substructure, memoization, tabulation, common DP patterns.
- Greedy Algorithms: Correctness proofs and classic problem-solving.
- Backtracking & Recursion: Permutations, combinations, constraint satisfaction.
- Graph Algorithms: Dijkstra’s, Bellman-Ford, Prim’s, Kruskal’s for paths and MSTs.
- Search & Sorting: Advanced techniques and complexity analysis.
- System Design Mastery:
- Scalability & HA: Principles, load balancing, horizontal/vertical scaling.
- Database Design: SQL/NoSQL choices, sharding, replication, indexing strategies.
- API Design: RESTful, GraphQL, idempotency, versioning.
- Microservices: Architecture, service discovery, inter-service communication.
- Caching: CDN, client/server-side (Redis), invalidation.
- Message Queues: Kafka, RabbitMQ, SQS for asynchronous processing.
- Fault Tolerance: Circuit breakers, retries, graceful degradation.
- Security: AuthN/AuthZ, encryption, secure API practices.
- Monitoring & Logging: Observability metrics, distributed tracing.
- SQL & Database Optimization:
- Advanced SQL Queries: Window functions, CTEs, complex joins, subqueries.
- Indexing: B-tree, hash, clustered/non-clustered for performance.
- Query Optimization: Execution plans, denormalization, schema design.
- Transactions & ACID: Data integrity and isolation levels.
- Coding Interview Techniques:
- Problem Decomposition: Breaking down complex problems.
- Optimal Solutions: Iterating to optimal, time/space complexity analysis.
- Whiteboarding & Communication: Articulating thought processes and trade-offs.
- TDD Approach: Crafting test cases, edge cases, debugging.
- Behavioral & Cultural Fit:
- STAR Method: Structuring responses for behavioral questions.
- Leadership & Teamwork: Demonstrating collaboration and conflict resolution.
- Company Values: Aligning responses with target company culture.
- Resume & Career Strategy:
- Optimizing Resumes: Highlighting relevant back-end projects and skills.
- Online Presence: GitHub and LinkedIn optimization strategies.
- Interview Navigation: Mock interviews, offer evaluation, salary negotiation.
- Tools Used: IDEs, online coding platforms, diagramming tools (e.g., draw.io), database clients.
- Advanced Data Structures:
- Benefits / Outcomes
- High Confidence: Tackle any back-end interview challenge with assuredness.
- Core Mastery: Deep, practical understanding of advanced DS, Algos, System Design, and SQL.
- Strategic Problem-Solving: Systematic approach to complex technical problems under pressure.
- Strong System Design: Ability to architect robust, scalable, highly available back-end systems.
- Optimized Database Skills: Write efficient SQL, understand internals, implement effective indexing.
- Effective Communication: Clearly articulate technical ideas and justify design choices.
- Holistic Preparation: Excel in technical, behavioral, and negotiation aspects.
- Accelerated Career: Position for high-impact roles at top-tier tech companies.
- Future-Proof Skills: Acquire relevant and sought-after skills for evolving tech industry.
- Proven Success: Join 757 students who advanced their back-end careers.
- PROS
- Comprehensive & Updated: Exhaustive back-end interview topics, curated for 2025.
- Interview-Centric: Modules geared for practical application in interview settings.
- Deep Dive: In-depth mastery of DS, Algorithms, System Design, and SQL.
- Non-Technical Aspects: Guidance on behavioral interviews, resume, negotiation.
- Structured Path: Clear, progressive curriculum for elite roles.
- Student Success: Implied proven track record from 757 successful students.
- Confidence Boost: Thorough preparation for challenging interview scenarios.
- CONS
- Significant Investment: Requires substantial time, dedication, and consistent practice.
Learning Tracks: English,IT & Software,Other IT & Software
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