Mastering the System Design Interview

Insider tips for your system design interview from a former Amazon hiring manager – plus 6 mock interviews for practice!

Ace your next system 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

Includes professionally transcribed English closed captions.

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!

Includes English closed captions.

Course Instructor

Frank Kane Author

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.