DSA & System Design Course: The Complete SDE Interview Program (original) (raw)
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Master DSA and System Design with this complete SDE Interview Program to crack top tech interviews and secure high-paying roles.
- LIVE mentor-led classes with structured learning.
- Learn DSA, coding patterns, and problem-solving skills.
- Master High-Level System Design concepts.
- Practice real interview questionsand build projects for your portfolio.
- Prepare for top companies like Google, Amazon, and Microsoft with Mock Interviews.
Beginner to Advanced
12 Weeks
Comprehensive LearningCourse CertificateIndustry ReadinessDoubt Solving
Facing Difficulty? Call Now For Instant Enrollment:+91- 9217990450
Course Overview
Data Structures & Advanced Algorithms
Interview-ready problem solving with algorithmic thinking to identify patterns in complex problems.
Optimised Problem Solving Approaches
Learn clean coding standards, professional debugging, and writing production-ready optimized solutions.
System Architecture & Scalability
Design scalable systems using load balancing, sharding, caching, and smart distributed trade-offs.
Production-Grade Design
Solve MAANG and startup interview design cases with optimized, production-grade code and design thinking.
Industrial System Thinking
Solve real-world system designs like Uber and Netflix by mastering scalability, trade-offs, and availability.
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What Sets Us Apart
Recognised Certification
Earn an industry-recognized GeeksforGeeks Training Certificate for credible validation, career advancement, and lifetime
24 X 7 AI Doubt Support
AI Chat Support for instant doubt resolution, plus a dedicated Teaching Assistant exclusively assigned to your batch.
Hands-On Project Work
We offer industry-grade projects that strengthen your portfolio and make your resume stand out.
Course Syllabus
DSA Live
System Design Live
Class 1: Time & Space Complexity
- Introduction to algorithm analysis, efficiency, and Big-O notation for time complexity
- Bitwise Operators with practical examples (swapping numbers, checking even/odd)
- Number System basics: binary, decimal, octal, hexadecimal, and base conversions
Class 2: Mathematics
- Prime numbers and efficient checking methods
- Sieve of Eratosthenes for generating primes
- GCD & LCM using Euclidean Algorithm with array-based applications
- Examples: fractions, modular arithmetic, and related practice problems
Class 3: Array I
- Array basics, traversal, insertion, deletion, Second Max, Leaders
- Kadanes Algorithm for Maximum Subarray Sum, Buy-Sell Stock problem
- Array rotations using Juggling Algorithm, Reversal method, and examples
Class 4: Array II
- Majority Element using Boyer Moore Voting Algorithm
- Subarrays and Subsequences with Prefix & Suffix arrays
- Practice problems for sum, product, and sliding window subarrays
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Module 1: System Design Foundations
- What is HLD - scope, goals, functional vs non-functional requirements
- PEDALS / RESHADED interview frameworks
- Capacity estimation - DAU, QPS, storage back-of-envelope
- Latency numbers every developer should know
- Client-server model, stateless vs stateful services
- Trade-off decision framework (CAP, latency vs consistency)
Module 2: Scalability Fundamentals
- Vertical vs horizontal scaling - trade-offs
- Load balancing - round-robin, least connections, IP hash
- Sticky sessions - failure modes and alternatives
- Stateless architecture for horizontal scalability
- Read replicas, auto-scaling, geographic distribution
- Cost vs performance trade-offs; connection draining & graceful scale-in
Module 3: Databases at Scale - Part 1
- RDBMS vs NoSQL - when to choose which
- ACID properties & BASE model (eventual consistency)
- CAP theorem & PACELC theorem
- Database indexing strategies - B-tree, hash, composite
- Schema migration strategies - zero-downtime migrations
- NewSQL (CockroachDB, Spanner) & time-series databases
Module 4: Databases at Scale - Part 2
- Database sharding - horizontal partitioning strategies
- Consistent hashing for shard routing
- Read/write separation - primary-replica pattern
- Multi-leader replication & conflict resolution
- Connection pooling
- Vector databases (Pinecone, pgvector) & graph databases (Neo4j)
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