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Understanding Open-Source Models

Fundamentals and resources for open-source models

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From Problem to Model Task

Converting business problems to model tasks

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Running Your First Model

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Fine-tune models and evaluate performance

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Claude 101

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Code with Claude as your pair programmer

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Introduction to Claude Cowork

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๐ŸงฌNeural Network Sandbox๐Ÿค–AI or Human?๐Ÿฅ‹Prompt Engineering Dojo๐ŸAlgorithm Race๐Ÿง AI Trivia Challenge๐Ÿ—๏ธSystem Design Canvas
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๐Ÿค– Level 4

AI & ML Interviews

The Machine Learning Interview

Specialised preparation for AI and machine learning roles. Cover ML system design, model evaluation, MLOps, and the unique interview formats used by AI-focused companies.

0
Lessons
~6h
Duration
4/5
Level

๐ŸŽฏ What You'll Learn

  • โœ“Design end-to-end ML systems
  • โœ“Explain model tradeoffs clearly
  • โœ“Handle ML-specific case studies
  • โœ“Demonstrate practical ML knowledge

Prerequisites: Basic ML knowledge (supervised/unsupervised learning)

๐Ÿ‘ค Who Is This For?

Engineers targeting AI/ML roles at tech companies

๐Ÿท๏ธ Topics Covered

ML System DesignStatistical FoundationsModel Selection & EvaluationML Case Studies
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Try Our Interactive Experiments

Put theory into practice with hands-on AI experiments you can run right in your browser.

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๐Ÿ“š Lessons

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Lessons Coming Soon

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