AI for Natural Language Processing

Learn how to put the latest open source technology into practice with hands-on training, delivered by industry experts, aligned to your desired business outcomes

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1 Days

Available On-Site

Available Virtually

Open Enrollments Available


Unlock the potential of your text data with machine learning in AI for Natural Language Processing, an advanced 1-day course designed for data and tech professionals. This course will provide participants with an understanding of how to utilize text data for machine learning. In this course, participants will gain hands-on experience building natural language models with state-of-the-art tools for natural language processing, such as SpaCy, SentencePiece, and Transformers. Upon completion, participants will be empowered to build AI solutions using text data, opening new possibilities for AI to bring value to their organization.


Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery.

Who Should Attend

Data Scientists, Data Engineers, Machine Learning Engineers, MLOps professionals

What Attendees will learn

Upon completing this course, participants will:

  • Build an in-depth understanding of how to build AI solutions using text data
  • Learn the approaches to various natural language tasks, using both traditional machine learning and deep neural networks
  • Gain hands-on experience building natural language models with powerful tools such as SpaCy, SentencePiece and Transformers
  • Develop the skills and expertise to build machine learning solutions with natural language data


Participants should have intermediate programming skills (preferably in Python), a strong understanding of mathematics and statistics, familiarity with machine learning / neural networks, a grasp of computer science fundamentals, familiarity with common operating systems and basic command-line operations, and a willingness to review pre-course materials.

These prerequisites will help participants engage effectively with the course material and hands-on labs, making the learning experience more rewarding. Attendees will also need to be able to ssh into a supplied cloud instance during the course to complete the lab work.