beginner

Data Processing for LLMs

Learn to clean, tokenize, vectorize, and chunk text data for LLMs. Master modern tokenization, scalable data prep, deduplication, filtering, augmentation, and efficient storage for high-quality NLP pipelines.

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Verified skills you'll gain

INTERMEDIATE

Feature Engineering and Text Representation

DEVELOPING

Programming and Text Processing Algorithms

DEVELOPING

Text Data Collection and Preparation

Tools you'll use

ChromaDB

Gensim

NLTK

Python

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Course 2

Modern Tokenization Techniques for AI & LLMs

4 lessons

14 practices

This course covers tokenization techniques used in modern AI models, including rule-based methods, subword tokenization (BPE, WordPiece, SentencePiece), and vocabulary optimizations. Learners will implement these methods and understand their impact on NLP model performance.

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Course 3

Optimized Data Preparation for Large-Scale LLMs

4 lessons

14 practices

This course teaches efficient data preparation strategies for training large-scale LLMs. It covers scalable data collection, deduplication, filtering, and augmentation techniques to ensure high-quality, diverse, and optimized datasets.

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Course 4

Chunking and Storing Text for Efficient LLM Processing

4 lessons

14 practices

This course teaches learners how to chunk large text efficiently and store it in a database for structured retrieval. These techniques are essential for processing long documents in LLM applications such as search, retrieval, and knowledge management.

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Francisco Aguilar Meléndez

Data Scientist

+11

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11