Overview
Practice working through real-world system design interview questions, Apply horizontal scaling to transactions, data storage, analytics, and databases, Choose appropriate algorithms and data structures for system designs, Structure your interview responses to ensure the best outcomes, Approach system design problems from the right angles, and with the right questions., Address the soft skills your interviewer is secretly evaluating you on
Experienced software engineers or architects preparing for challenging system design interviews at big tech companies.
Some prior experience in system architecture and computer science is expected.
Ace your next systems design interview! Get tips, tricks, and practice interviews with a former hiring manager from Amazon, who interviewed thousands of software engineers and hired hundreds. Frank Kane will share the secrets of what your interviewer is looking for and the technologies you’re expected to know. Practice makes perfect, so you’ll also get six mock system design interviews with real-world interview questions from the biggest tech employers.
A technical interview loop is a demanding process, and the system design part is often the most challenging. This course gets you prepared, and maximizes your odds of landing a new job that could change your life.
About 5 hours of on-demand video content will cover what you need to know before starting your next interview:
Techniques for scaling distributed systems and service fleets
Database technologies and “NoSQL” solutions
Use of caching to improve scalability and performance
Designing for resiliency and handling failures
Distributed storage solutions
A review of algorithms and data structures
Processing big data with Apache Spark
An overview of cloud computing resources
Interview strategies for structuring your system design interview
Six full mock interviews with real-world system design interview questions
General tips and tricks for a successful technical interview
We'll cover topics in high-level design and low-level design, software architecture, and more.
This course is for experienced software engineers who need some extra preparation prior to a challenging system design interview. Enroll now, and you’ll have every advantage going into your next tech interview!
Don't take our word for it - check out this note sent to us by a learner in this course:
"Interview prep is even more challenging without proper guidance. This course was a real saver because I was asked every concept that the course discussed. The mock interview was helpful enough to practice your learnings for real world problems. I was able to ace my system design portion of interview and got my offer at Amazon.
As a non-CS major student, I struggled to find good resources. The instructor was actually from Amazon and had real interview questions. He focuses on skills that really matter on the interview rather than hacky tricks. You will lose nothing on this course because you will grow a lot regardless of the interview result. And... this course will remain as a strong guide what to focus on more."
Sundog Education by Frank Kane
Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 26 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.