10-Session LLD System Design Mastery Package

Archana Goyal

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10-Session LLD System Design Mastery Package
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Package
10Products
10 x System Design LLD
Webinar | 60mins per session

Master Low-Level Design (LLD) in 10 Personalized Sessions

This package gives you 10 personalized 1:1 sessions (60 mins each) to master Low-Level System Design for interviews. Over these sessions, we’ll cover:

  • Core LLD concepts with real-world coding scenarios
  • Frameworks to break down classes, APIs, and DB schema
  • Hands-on design walkthroughs (e.g., Parking Lot, Notification Service, E-Commerce, Ride-Sharing)
  • Design patterns & principles (SOLID, OOP best practices) applied to interview problems
  • Mock interview practice with live feedback and curveball questions
  • Step-by-step breakdowns of FAANG-style LLD questions

By the end of 10 sessions, you’ll have a repeatable approach, design templates, and confidence to tackle even the toughest LLD interview challenges.

Perfect for engineers preparing for FAANG, startups, or mid/senior developer roles who want a guided roadmap instead of scattered prep.

Package validity: 2 months

What are people saying

Hi Archana, Our recent session on large-scale data modeling for both real-time streaming architecture and batch architecture, using LinkedIn and Amazon as our use cases, was truly enlightening. Your expertise in connecting the dots between various tools and technologies, such as Flink,Spark,NoSQL databases like Cassandra, and batch frameworks, was exceptional. You not only highlighted their specific use cases but also addressed the pain points of legacy systems, including explaining concepts like sharding. Your insights into creating a robust big data streaming and batch architecture, along with building a data model from scratch, were incredibly valuable. This has greatly clarified my understanding of these components and has been instrumental in guiding my decisions for data modeling and designing architectures for systems with large user bases.
Vishal Agrawal
Sep 2024
19,50020,000