Test Engineering Interview Course

Nail test 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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Test Engineering Interview Course Curriculum

This is what you'll learn in our test engineer career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Test 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

Test Engineering Masterclass
6 weeks
6 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

Quality Engineering Foundations

  • Fundamentals of Quality Engineering
  • Functional and Non-Functional Testing
  • Test Cases, Testing Metrics
  • Test Strategy, Design, and Planning
  • Bug Life Cycle, Severity, and Priority
  • Troubleshooting and Defect Management
2

Performance, Stress, and Agile Testing

  • Fundamentals of Performance Testing
  • Agile Testing Approaches, Testing Process and Responsibilities
  • Types of Performance Testing
  • Performance Testing Life Cycle
  • Performance Testing of Microservices
  • Challenges in Performance Testing
3

API Testing

  • Fundamentals of API Testing
  • Understanding Web Services and APIs
  • API Authorization and Authentication
  • Hands on API-Testing
  • API Testing Tools
  • API Test Framework Design
  • API Test Automation Framework
4

Automation Testing

  • Test Automation Basics
  • Types of Automation Testing
  • Black Box Testing
  • White Box Testing
  • Automating the Test Pyramid
  • Test Automation Framework Design
  • Types of Automation Framework
  • Tools for Automation Testing
  • Automation Testing integration with CI/CD
5

Test Automation Design Patterns

  • Fundamentals of Design Patterns
  • Design Patterns in Test Automation
  • Types of Design Patterns
  • Web Browser Test Automation Framework - Demo for Design Pattern Implementation
  • Case Studies
6

Cloud Testing

  • Introduction: Importance of Cloud Computing
  • Cloud Services: Test Perspective
  • Testing in Cloud
  • Service Testing
  • Integration Testing
  • Performance Testing
  • Security Testing
  • Migrating Services from On-Premise to Cloud
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
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


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Best Suited for

  • Current and former Test Engineers
  • Software Engineers trying to transition to Test Engineering
  • QA Engineers/Testers trying to transition into SDET roles

Test Engineering Interview Process at Tier-1 Companies

We prepare you for all stages of a typical test engineering interview process at FAANG and Tier-1 companies

Initial Technical Screening

  • Involves a coding round and a discussion of your past projects.

Behavioral Round

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

Onsite: 3-4 Rounds

  • 1-2 General Coding Rounds: Coding rounds spanning arrays, linked lists, sorting and searching, recursion, trees, and graphs.
  • 1 Domain Round: Candidates may be asked to write test cases for a program or to create a test plan for an application.
  • Systems Design Round: Scalable system design (test focused) questions. It usually starts off with an open-ended question like designing a test automation framework for a feature or an entire product, depending on the level that you're applying for.

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

What our students say

Akshay Lodha
Data Engineer
Offers from
Google_logo

"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."

Sujay Ghosh
Software Development Manager
Offers from
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“Interview Kickstart's program is wonderful. I found the classes as well as the materials provided by Interview Kickstart very helpful. In the mock interview sessions, I was able to clear my concerns on a 1-on-1 basis.”

Rupesh Dabbir
Offers from
Google_logo

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.

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