What you'll learn
Guidelines to approach system design interview discussions sytematically
Build a value oriented conversation instead of canned questions and responses
Learning to build systems and become a first principles thinker
Practice with examples to build a self assessment metric
Requirements
Minimum 1 years programming experience needed.
Willingness to followup on the assignments and complete them sincerely
Description
In this focused, 60-minute course, you'll quickly learn essential strategies for tackling system design interviews and boosting your career prospects. We'll concentrate on the crucial aspects of designing complex systems, emphasizing balancing business fundamentals with technical expertise.The course will cover critical aspects of system design interviews, including understanding the problem domain, product purpose, and interviewer expectations. Through a targeted approach, you'll learn to shape your answers, identify knowledge gaps, and practice using real-world examples, such as designing an AI-powered search engine.We'll explore a conversational approach to system design, helping you engage in productive dialogues with your interviewer. You'll learn to apply your expertise in algorithms, data structures, domain knowledge, and infrastructure to navigate the conversation effectively.Throughout the course, you'll work on hands-on assignments that reinforce your learning:Problem Domain Exploration: Analyze a given problem statement, identify critical components, and draft relevant questions to clarify the requirements.Data Modeling Exercise: Design an appropriate data model for a specific system based on the requirements.Scalability & Performance: Propose a scaling strategy to handle a rapidly growing user base, addressing potential bottlenecks and challenges.Fault Tolerance Considerations: Develop a fault-tolerant system design catering to many concurrent users.MVP Design: Design a minimum viable product for a sample problem, focusing on key features and customer needs.By the end of this 60-minute course, you'll be better equipped to face system design interviews and confidently tackle complex design challenges.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Outline
Section 2: System design converstation structure
Lecture 3 Shaping a conversation
Lecture 4 Importance of listening
Lecture 5 States of a system design conversation in an interview
Lecture 6 A primer on shaping system design interview conversations rationally
Section 3: Pivots of a system design discussion
Lecture 7 Introduction to the system design conversation pivots
Lecture 8 Business and use cases as system design interview pivot
Lecture 9 High Level design as pivot of system design interview
Lecture 10 Low level Design and Data model as a pivot of system design interview
Lecture 11 Scale as a pivot of system Design interview
Lecture 12 Fault tolerance as a pivot of system design interview
Lecture 13 Alogrithms and data structures as a pivot in system design interview
Section 4: Business related questions in system design context
Lecture 14 Understand the domain
Lecture 15 Understand the customer requirements upfront
Lecture 16 Gauging market size from system design perspective
Lecture 17 Analyzing the competition from system design perspective
Lecture 18 Understanding the success of leader in a domain for system design metrics
Section 5: Components needed to build a minimum viable product
Lecture 19 Thinking from a minimum viable product perspective
Lecture 20 Functional perspective of the system
Lecture 21 Considerations while designing systems
Section 6: Data management perspective in system design
Lecture 22 Data Access perspective
Lecture 23 Data modelling and schema design
Lecture 24 Data, communication protocols and Low level design
Lecture 25 System design storage considerations
Lecture 26 System design caching considerations
Section 7: Scale considerations in system design perspective
Lecture 27 Load Balancer considerations
Lecture 28 Concurrency as a consideration while scaling
Lecture 29 Performance and scale
Lecture 30 Scale and scalability
Lecture 31 Error Handling
Lecture 32 Capacity planning
Section 8: Fault Tolerance perspective in system design interviews
Lecture 33 Recovery in system design
Lecture 34 Fault Tolerance from system design interview perspective
Lecture 35 Redundancy in system design interview
Lecture 36 Availability in system design conversation
Section 9: Algorithms and data structures in system design
Lecture 37 Data strucutres
Lecture 38 Algorithms in system design
Lecture 39 Basic techniques for using algorithms in system design
Section 10: How to upskill and learn during hectic schedules?
Lecture 40 Self learning is the key to growth.
Lecture 41 Getting to know the tool chains
Lecture 42 Mastering debugging
Lecture 43 Learn to debug effectively
Lecture 44 Getting used to analyzing network traffic
Lecture 45 Dive deep into performance
Lecture 46 Learn to simulate and reproduce error
Lecture 47 Learn to measure the cloud metrics
Lecture 48 Start isolating protocol specific network traffic
Lecture 49 Learn reverse engineering designs of products
Lecture 50 Publish your learnings
Lecture 51 Stay curious and keep learning
Section 11: Conclusion
Lecture 52onus Lecture
Beginner developers seeking a job change in near future,Beginners curious about the system design interview,Developers eager to understand system design in general,Developers willing to apply knowledge to their current job for career growth


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