Insider tips for your system design interview from a former Amazon hiring manager – plus 6 mock interviews for practice!
InstructorSundog Education by Frank KaneThe course includes dedicated mock interview walkthroughs that utilize a Q&A pattern and debriefing sessions to help learners identify personal blind spots.
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These 4 complementary views highlight concrete, legible examples from the course presentation.
This architectural diagram illustrates how to design a data warehouse for log data using AWS services, branching into serverless and managed processing paths.
This system design flowchart details the components of a search engine architecture, mapping data flow from web repositories through indexing and PageRank algorithms to user results.
This technical diagram outlines the workflow of a web crawler system, detailing steps from initial URL hashing to distributed storage and content normalization.
This slide advises candidates to learn company values like Amazon's leadership principles and demonstrate them in their stories, illustrated by a screenshot of the official Amazon blog post.
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Instruction covers contemporary technologies, including Generative AI systems with Rag and Agentic AI integration.
Technical explanations are described as shallow by some learners, lacking critical details such as API design, back-of-the-envelope calculations, and latency discussions. Note that these signals originated in reviews dated before the displayed update; while the course has a more recent update label, it does not prove these gaps were addressed.
The mock interview segments may lack the necessary detail for real-world scenarios, as they are significantly shorter than actual technical interviews. These signals also predate the displayed update label and remain uncertain.
The curriculum aligns with the goal of preparing for technical interviews, though it is better suited for entry-level than senior roles.