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How to Nail your next Technical Interview

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Full Stack Engineering Interview Course

Nail full-stack engineering interviews at FAANG and Tier-1 Tech Companies
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Course designed and taught by instructors from FAANG & Tier-1 Tech Companies

Manoj Krishnan

Software Engineer
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Adrián Fernández

Engineering Manager
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Qiuping Xu.

Principal Data Scientist
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Full-Stack Engineering Course Curriculum

This is what you'll learn in our Full-Stack Engineering career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Full-Stack Engineering course and curriculum

Data structures and Algorithms
5 weeks
5 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Sorting

  • Introduction to Sorting
  • Basics of Asymptotic Analysis and Worst Case & Average Case Analysis
  • Different Sorting Algorithms and their comparison
  • Algorithm paradigms like Divide & Conquer, Decrease & Conquer, Transform & Conquer
  • Presorting
  • Extensions of Merge Sort, Quick Sort, Heap Sort
  • Common sorting-related coding interview problems
2

Recursion

  • Recursion as a Lazy Manager's Strategy
  • Recursive Mathematical Functions
  • Combinatorial Enumeration
  • Backtracking
  • Exhaustive Enumeration & General Template
  • Common recursion- and backtracking-related coding interview problems
3

Trees

  • Dictionaries & Sets, Hash Tables 
  • Modeling data as Binary Trees and Binary Search Tree and performing different operations over them
  • Tree Traversals and Constructions 
  • BFS Coding Patterns
  • DFS Coding Patterns
  • Tree Construction from its traversals 
  • Common trees-related coding interview problems
4

Graphs

  • Overview of Graphs
  • Problem definition of the 7 Bridges of Konigsberg and its connection with Graph theory
  • What is a graph, and when do you model a problem as a Graph?
  • How to store a Graph in memory (Adjacency Lists, Adjacency Matrices, Adjacency Maps)
  • Graphs traversal: BFS and DFS, BFS Tree, DFS stack-based implementation
  • A general template to solve any problems modeled as Graphs
  • Graphs in Interviews
  • Common graphs-related coding interview problems
5

Dynamic Programming

  • Dynamic Programming Introduction
  • Modeling problems as recursive mathematical functions
  • Detecting overlapping subproblems
  • Top-down Memorization
  • Bottom-up Tabulation
  • Optimizing Bottom-up Tabulation
  • Common DP-related coding interview problems

System design
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Online Processing Systems

  • The client-server model of Online processing
  • Top-down steps for system design interview
  • Depth and breadth analysis
  • Cryptographic hash function
  • Network Protocols, Web Server, Hash Index
  • Scaling
  • Performance Metrics of a Scalable System
  • SLOs and SLAs
  • Proxy: Reverse and Forward
  • Load balancing
  • CAP Theorem
  • Content Distribution Networks
  • Cache
  • Sharding
  • Consistent Hashing
  • Storage
  • Case Studies: URL Shortener, Instagram, Uber, Twitter, Messaging/Chat Services
2

Batch Processing Systems

  • Inverted Index
  • External Sort Merge
  • K-way External Sort-Merge
  • Distributed File System
  • Map-reduce Framework
  • Distributed Sorting
  • Case Studies: Search Engine, Graph Processor, Typeahead Suggestions, Recommendation Systems
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Full Stack Domain
5 weeks
5 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Databases

  • Frequently asked interview questions on databases for various use cases; social media platform - search, user connections, user feeds, ads, payments; how to handle peak hours?
  • Design an e-commerce data warehouse to efficiently compute, store and retrieve live metrics at various frequencies
  • Design a database solution for a web crawler that scrapes the product and pricing information from a competitor’s e-commerce website
  • Design a schema for Apple Music
  • Deep dive into database internals (transactions, indexes, and performance)
  • Explore Cloud Database Monitoring Tools: Monitoring database health and performance, scale performance via sharding
  • Comprehensive coverage of clarifying questions to ask while doing the requirement analysis and scope fencing during the design phase of a database
2

API Design and Implementation

  • Design an API for an image-sharing application: Outline which response codes you would use for certain situations on each endpoint
  • How to identify which user is accessing our API? Different ways of identifying a user from an API OAuth, Passwordless authentication, Multi-factor authentication
  • How to prevent man-in-the-middle attacks or session replays or cookie stealing/replays?
  • Encryption: How much is too much? Enforcing HTTPs
  • Design an API for Kick News, a discussion forum like Reddit or Hacker News - architecting, documenting, and testing REST APIs
  • Case study on moderation tools - When to use each authentication method and types of authorization
  • Call multiple endpoints and join the data on the client-side or implement infinite scrolling using GraphQL
  • Implement KickChat, a live chat feature - reacting to server events with polling and webhooks
  • How to test an API for security threats? Understanding the threats and then working on steps to prevent security threats: XSS, CSRF, SQL injection, input sanitization
3

Cloud Infrastructure

  • Evaluating cloud-native solutions for cost optimization; Economics of cloud and serverless computing
  • Fundamental questions on Key/Value datastores vs. RDBMS
  • Design a video transcoding service using a hybrid cloud architecture
  • Common problems in cloud-native/serverless systems and how to mitigate them? - Issues with database connections, scaling, and the hug of death
  • Interesting follow-up questions on system monitoring and alerts
  • How to fix a broken Lambda function?
  • Best practices and principles to be followed to meet the FAANG+ bar - DevOps, Infrastructure as Code
4

JavaScript and Web Development

Design an advertising API using JavaScript
  • Application logic using function expression or in-line expression
  • Popular FAANG+ interview question on re-writing the promise chain as async/await style code
  • How would you indicate that a piece of JavaScript code should only be used for a particular type of variable?
  • Using TypeScript to reduce code ambiguity, and in combination with other frameworks
  • Make critical design decisions. Manage external dependencies using yarn or an external package
Develop a Twitter-like homepage, with infinite scrolling - a popular FAANG+ interview question
  • How information may be passed down to child components using ‘props’
  • Approaches towards dynamically updating web pages - a popular interview skill 
  • Questions on using iFrames and web components to incorporate external content
  • Incorporating good authorization and security policies for users
  • Demo of an OAuth integration, using the Google Drive API
5

UI System Design

  • Design a custom control component <SearchBox /> by extending existing controls
  • Design a portable UI control that provides a secure and compliant way to capture a payment method - embedding the payment method form in a web application
  • Develop a component-based design system to avoid duplicating development efforts - using Storybook.js to support the component library pattern
  • Transform state management from a non-framework model to a framework-specific model
  • How to think, act, and articulate like a front-end architect and tech lead emitting senior+ signals in system design interviews using methodical and structured interview strategy
  • Evaluate options, perform trade-offs, and analyze the business impact of modern web development frameworks
  • Manage the state of a UI application - A demonstration of how to approach programming questions in the UI system design domain
  • Design a common components library such as Bootstrap
  • Design a UI component SDK such as Stripe checkout SDK - A common theme in UI system design interviews
  • Industry trends within front-end engineering and surrounding domains (AI/ML)
Career Coaching
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Interview Preparation

Interview Questions
Placement assistance
Behavioral Coaching
2

Resume & LinkedIn Masterclass

3

Salary Negotiation Masterclass

Support Period
6 months
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

15 mock interviews

2

Take classes you missed/retake classes/tests

3

1:1 technical/career coaching

4

Interview strategy and salary negotiation support


Next webinar starts in

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Best Suited for

  • Current Full Stack Engineers/Developers

Full Stack Engineer Interview Process at Tier-1 Companies

We prepare you for all stages of a typical Full Stack engineer interview process at FAANG and Tier-1 companies

Initial Technical Screening

  • A coding round and a discussion of your past full stack projects, at times. While discussing projects, conceptual questions on the full stack domain, frameworks used, etc., are asked.

Behavioral Round

  • Questions related to your job experience
  • Discussions on past projects
  • Open-ended questions to gauge if you're a "good fit"

Onsite: 4-6 Rounds

Top companies love hiring our candidates
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Top companies love hiring our candidates!

10K+

Experienced engineers enrolled

7

Years of successful training in Silicon Valley

18

Highest number of offers received by an alum

5

Avg years of experience of our alumni
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What our students say

Vineet Joglekar
Software Development Manager
Offers from
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"IK helps you build a problem-solving mindset, offers very rich foundational material, introduces typical interview problems, offers technical and behavioral coaching sessions and mock interviews from industry experts to succeed in tech interviews".

Swapnil Tailor
Offers from
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Interview Kickstart is like a fitness coach which guides to achieve your dream job. It can help you identify your weak points and also suggest steps to improve them.

Rupesh Dabbir
Offers from
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Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.

Frequently Asked Questions