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Mastering Tokenization; A Step-by-Step Guide

Mastering Tokenization; A Step-by-Step Guide

$201.00
When you get access:
Course access is prepared after purchase and delivered via email
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Self-paced • Lifetime updates
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Toolkit Included:
Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
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What does the Tokenization course cover?

Tokenization is covered here in 6 modules: Introduction to Tokenization: Importance of tokenization in NLP and ML, Tokenization Techniques: Wordpiece tokenization: WordPiece, BERT, and RoBERTa, Implementing Tokenization and 3 more. The outline lists 24 specific topics, opening with what is tokenization? and closing with explainability and interpretability: understanding tokenization and model decisions.

How do you approach Tokenization step by step?

The work is sequenced in 6 stages. It starts with Introduction to Tokenization: Importance of tokenization in NLP and ML, moves through Tokenization Techniques: Wordpiece tokenization: WordPiece, BERT, and RoBERTa and Implementing Tokenization, and ends at Advanced Tokenization Topics: Contextualized embeddings: BERT, RoBERTa, and XLNet. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Tokenization course?

Module 1 is Introduction to Tokenization: Importance of tokenization in NLP and ML. It works through what is tokenization?, importance of tokenization in NLP and ML, types of tokenization: word-level, subword-level, and character-level and 1 more. It sets the vocabulary the remaining 5 modules build on.

How is the Tokenization course delivered?

The Tokenization course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Tokenization course cost?

The Tokenization course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Tokenization Mastery.

More answers: what you get with every course, refund policy, all help answers.

Mastering Tokenization: A Step-by-Step Guide



Course Overview

This comprehensive course is designed to help participants master the art of tokenization, a fundamental concept in natural language processing (NLP) and machine learning (ML). Through interactive lessons, hands-on projects, and real-world applications, participants will gain a deep understanding of tokenization and its applications in various industries.



Course Objectives

  • Understand the basics of tokenization and its importance in NLP and ML
  • Learn various tokenization techniques, including wordpiece tokenization and subword tokenization
  • Implement tokenization using popular libraries such as NLTK, spaCy, and TensorFlow
  • Apply tokenization in real-world applications, including text classification, sentiment analysis, and language translation
  • Optimize tokenization for specific use cases and industries


Course Outline

Module 1. Introduction to Tokenization: Importance of tokenization in NLP and ML

  • What is tokenization?
  • Importance of tokenization in NLP and ML
  • Types of tokenization: word-level, subword-level, and character-level
  • Tokenization challenges: handling out-of-vocabulary words, punctuation, and special characters

Module 2. Tokenization Techniques: Wordpiece tokenization: WordPiece, BERT, and RoBERTa

  • Wordpiece tokenization: WordPiece, BERT, and RoBERTa
  • Subword tokenization: WordPiece, BPE, and SentencePiece
  • Character-level tokenization: character CNNs and RNNs
  • Hybrid tokenization: combining word-level and subword-level tokenization

Module 3: Implementing Tokenization

  • Tokenization using NLTK: wordpiece tokenization and subword tokenization
  • Tokenization using spaCy: wordpiece tokenization and subword tokenization
  • Tokenization using TensorFlow: wordpiece tokenization and subword tokenization
  • Tokenization using PyTorch: wordpiece tokenization and subword tokenization

Module 4. Applying Tokenization: Question answering: extractive QA, generative QA, and conversational QA

  • Text classification: spam detection, sentiment analysis, and topic modeling
  • Sentiment analysis: binary classification, multi-class classification, and regression
  • Language translation: machine translation, sequence-to-sequence models, and attention mechanisms
  • Question answering: extractive QA, generative QA, and conversational QA

Module 5: Optimizing Tokenization

  • Optimizing tokenization for specific use cases: text classification, sentiment analysis, and language translation
  • Optimizing tokenization for specific industries: finance, healthcare, and customer service
  • Handling out-of-vocabulary words: subword tokenization, character-level tokenization, and hybrid tokenization
  • Handling punctuation and special characters: tokenization, normalization, and data preprocessing

Module 6. Advanced Tokenization Topics: Contextualized embeddings: BERT, RoBERTa, and XLNet

  • Contextualized embeddings: BERT, RoBERTa, and XLNet
  • Transfer learning: fine-tuning pre-trained models for specific tasks
  • Multilingual tokenization: handling multiple languages and scripts
  • Explainability and interpretability: understanding tokenization and model decisions


Course Features

  • Interactive: Engage with interactive lessons, quizzes, and hands-on projects
  • Comprehensive: Cover all aspects of tokenization, from basics to advanced topics
  • Personalized: Receive personalized feedback and support from expert instructors
  • Up-to-date: Stay updated with the latest developments and advancements in tokenization
  • Practical: Apply tokenization in real-world applications and projects
  • Real-world applications: Learn from real-world examples and case studies
  • High-quality content: Access high-quality video lessons, text materials, and resources
  • Expert instructors: Learn from experienced instructors with industry expertise
  • Certification: Receive a certificate upon completion, issued by The Art of Service
  • Flexible learning: Learn at your own pace, anytime, anywhere
  • User-friendly: Access course materials through a user-friendly and intuitive platform
  • Mobile-accessible: Access course materials on-the-go, using your mobile device
  • Community-driven: Join a community of learners and professionals, and engage in discussions and forums
  • Actionable insights: Gain actionable insights and practical skills, applicable in real-world scenarios
  • Hands-on projects: Work on hands-on projects, and apply tokenization in real-world applications
  • Bite-sized lessons: Learn through bite-sized lessons, and focus on specific topics and skills
  • Lifetime access: Access course materials for a lifetime, and stay updated with new developments
  • Gamification: Engage with gamification elements, and make learning fun and engaging
  • Progress tracking: Track your progress, and stay motivated and focused


Certificate

Upon completion of the course, participants will receive a certificate, issued by The Art of Service. The certificate will be awarded based on the participant's performance and completion of course requirements.

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