Amazon Interview Training Program
Videos
Easy to follow advice on how to best answer any non-technical interview question.
Assessments
Each module includes short knowledge-check assessments plus longer, skill-building evaluations.
- Practice identifying Leadership Principles from interview questions
- Interviewing secrets
- Mistakes to avoid
Extras
Various experiments.
- Stories Dashboard: Add, revise, rank & label your stories - using both quantitative & qualitative indicators (e.g. revisions to stories ratio)
- 17 types of feedback reports on your answers from 3 AI engines
- Predict questions for your upcoming interview based on your specific scenario, using AI
- Demo story bank - how could your story bank look like? Using AI
- 229 YouTube videos summarized
- List with over 1k behavioral interview questions
Training 2: Amazon Onsite Training Program
In its first version this was over 9 hours; to save you time, I compressed it to 6h30, in 43 sections. This is best consumed over the course of a few consecutive days.
My goal is to help you to improve your STAR answers using your best stories, in a 4 step process:
- Section one: reasoning by analogy will help you to quickly and accurately find relevant stories for each principle.
- Section two: general types of questions; outcome: your elevator pitch.
- In section three, I'm using the examples from section one, in order to highlight behaviors to use and to avoid in your own answers.
- Section four - more exercises to further improve the quality of your stories. Outcome: your stories, ready for the interview.
I perfectioned this method throughout the years, while helping & learning from some really smart people.
First, throughout my career, I've worked in both technical and non-technical roles.
Second. My experience coaching people for all major job categories has taught me an important lesson: anyone applying for such jobs should be able to qualify if an answer, including its depth, is for them. Some stories will be for mid-level roles while others will be for L7+ roles, while others will be for sales.
While it is true that many of these stories are from IT, I picked examples from a variety of industries.
from a candidate in Seattle - under Invent and Simplify
A side project of mine is to track potholes in the area by designing a reporting system using cameras mounted on garbage trucks; they would scan the road and using AI would find holes in the road, which would be reported to the city for review.