🎉 We're excited to announce that Exponent has officially launched at the Georgia Institute of Technology, which is home to the largest computer science program in the U.S. For the upcoming school year, computer science students at Georgia Tech will have full access to Exponent's platform, courses, and practice tools to help prepare them for careers in tech. To learn more, check out the full case study we've published on our website here: https://lnkd.in/dgbJ5uB5 – Thank you to everyone who helped make this happen, including Olufisayo Omojokun, Mary Hudachek-Buswell, PhD, Amber Morley, Adam Btaddini, Leah Ashley, and the whole Exponent team.
Exponent
Professional Training and Coaching
San Francisco, California 19,313 followers
Exponent is a learning platform that helps you prepare for tech interviews in product management, engineering and more.
About us
Exponent is a learning platform that helps you prepare for tech interviews in product management, engineering, and more. Our premium courses include hands-on coaching, interview lessons, questions and complete answers with video walkthroughs and give you access to hours of mock interviews with expert insights and tips. Exponent connects you to a community of peers, industry professionals and expert coaches who are at hand to help you advance your career.
- Website
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https://www.tryexponent.com
External link for Exponent
- Industry
- Professional Training and Coaching
- Company size
- 2-10 employees
- Headquarters
- San Francisco, California
- Type
- Partnership
- Founded
- 2018
- Specialties
- Product Management, Coaching, Career Coaching, enginnering, engineering management, softwareengineering, product marketing, system design, and YouTube
Locations
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Primary
150 Albion St
San Francisco, California, US
Employees at Exponent
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Omer Gelbard
Engineering Leader | Formerly at Lyft, Microsoft, & Yammer
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Or Sivan
building something new, ex-Coinbase / YouTube / Google
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xi O.
Innovator | Team Lead | Versatile Technologist |Senior Full Stack Engineer | Frontend | Backend
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Jacob Simon
Co-founder @ Exponent | Posting about tech trends, engineering, product
Updates
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Ready to apply your engineering knowledge to complex ML systems? Our new #machinelearning interview prep course covers essential machine-learning system design concepts. ◆ Developed with ML engineers from Google, Waymo, FanDuel, and more. ◆ Practice real-world ML system design interview questions. ◆ Written and video solutions and lessons ◆ Community answers and feedback. What should we add next?
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Want to help us make Machine Learning content?
Know any ML experts? We're looking for machine learning experts to help us with paid opportunities for a new machine learning interview prep course at Exponent. Let me know if you know anyone interested!
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🧠 It's here. Download our free system design interview PDF: https://lnkd.in/gJUrW9ei You can use this guide to prepare for the most critical system design interview concepts. Review API design choices, scalability, message processing, and more. #systemdesign #interview #softwaredevelopment
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Exponent reposted this
Picking the right database is important, but navigating all the options on AWS, Google Cloud, and Azure is hard. That's why we put together this super-duper database cheatsheet! ⚡️ Here's a few highlights: 🏦 ACID transactions? Go for a relational database like AWS's RDS, Azure's SQL Database, or GCP's Cloud SQL. 📊 Analytics? Check out columnar databases like Amazon Redshift, Azure Synapse, or BigQuery. 🏎 Caching data? Try an in-memory cache like AWS Elasticache, Redis on Azure, or Memorystore on Google Cloud. Want to dive deeper? Our latest System Design guide on Exponent walks you through everything you need to know about databases for your next interview. Get the link in the comments below 👇 + Shout out to Nick Roberts and Eugene Khvan for putting this resource together! -- #cloudcomputing #aws #azure #googlecloud #data #database #systemdesign #softwareengineering #cloud #sql
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Are you trying to decide between SQL and NoSQL for your next project or system design interview? Neamah breaks down well-structured data, ACID compliance, and scaling considerations. #data #sql #azure
SQL vs. NoSQL Explained (in 4 Minutes)
https://www.youtube.com/