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What You'll Learn
Unlock the ML interview
ML drives the new industrial age. Mastering scalable prediction engines, generative AI, and MLOps makes you indispensable. High-impact roles await those who can engineer intelligent systems and ace the machine learning interview.
Learn to design 6 real-world systems
Crack ML interviews with a system-level approach. Master architectural components, metrics, and modeling strategies through six real-world problems. From search ranking to ad prediction, learn to solve open-ended ML challenges methodically.
Playbook developed by ex-MAANG engineers
Master ML interviews with insider expertise from Big Tech pros. Get AI Mock Interviews for instant feedback and direct access to developer advocates. Learn from Meta, Google, and Microsoft experts to master every ML concept.
Content
1.
Introduction
2 Lessons
Get familiar with the essentials of ML interviews and key steps in designing ML systems.
2.
Practical ML Techniques/Concepts
6 Lessons
Walk through practical ML strategies, covering performance, data collection, experimentation, embeddings, transfer learning, and model debugging.
3.
Search Ranking
8 Lessons
Work your way through designing search ranking systems, selecting metrics, and filtering results effectively.
4.
Feed Based System
9 Lessons
Build a foundation in designing and optimizing a Twitter feed system for user engagement.
5.
Recommendation System
7 Lessons
Generate personalized recommendations by leveraging data on user interactions, watch history, and preferences.
6.
Self-Driving Car: Image Segmentation
5 Lessons
See how it works to enhance self-driving cars with advanced image segmentation techniques.
7.
Entity Linking System
5 Lessons
Build on named entity linking (NEL) with recognition, disambiguation, metrics, architecture, and modeling insights.
8.
Ad Prediction System
7 Lessons
Learn how to use machine learning to optimize ad relevance and user engagement.
Certificate of Completion
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Course Author:
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Frequently Asked Questions
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