Comprehensive Study Guide

Everything you need to know to ace the skills assessment

Assessment Overview

The skills assessment consists of three sections, each designed to evaluate different aspects of your technical capabilities.

1
20 min

Technical Skills

15 questions

2
25 min

Practical Coding

5 questions

3
15 min

System Design

3 questions

Technical Skills Checklist

Select your niche to see the key topics you should master.

Supervised Learning

Linear RegressionLogistic RegressionDecision TreesRandom ForestsSVM

Unsupervised Learning

K-Means ClusteringHierarchical ClusteringPCAt-SNE

Deep Learning

Neural NetworksCNNsRNNs/LSTMsTransformersGANs

Model Evaluation

Cross-validationMetrics (Accuracy, Precision, Recall, F1)ROC/AUCConfusion Matrix

MLOps

Model VersioningFeature StoresModel ServingMonitoring & Drift Detection

Coding Best Practices

Follow these guidelines during the practical coding section to maximize your score.

Write Clean, Readable Code

  • Use meaningful variable and function names
  • Keep functions small and focused on a single task
  • Follow consistent formatting and indentation
  • Add comments for complex logic, not obvious code

Handle Errors Gracefully

  • Use try-catch blocks for error-prone operations
  • Provide meaningful error messages
  • Fail fast and fail loudly in development
  • Log errors with context for debugging

Optimize for Performance

  • Understand time and space complexity
  • Avoid premature optimization
  • Use appropriate data structures
  • Consider caching for expensive operations

Write Testable Code

  • Separate concerns (business logic vs I/O)
  • Use dependency injection
  • Keep functions pure when possible
  • Test edge cases and error paths

System Design Fundamentals

Key concepts to understand for the system design section.

Recommended Resources

External resources to deepen your knowledge in your chosen niche.

Machine Learning Fundamentals

Supervised, unsupervised, and reinforcement learning basics

Deep Learning

Neural networks, CNNs, RNNs, Transformers

MLOps & Deployment

Model serving, monitoring, and pipeline orchestration

Ready to Test Your Knowledge?

Put your preparation to the test with a practice assessment.