Mastering spaCy
Build structured NLP solutions with custom components and models powered by spacy-llm
Created by Déborah Mesquita, Duygu Altinok
Explore the spaCy ecosystem and learn how to build advanced NLP solutions, from rapid prototyping with large language models to deploying production-ready pipelines. Discover how to create custom components, integrate transformers, and manage workflows for real-world applications.
Packt | Feb 2025 | 238 min
What You Will Learn
You will start by exploring spaCy's core features, then move on to hands-on projects that introduce custom pipeline components and transformer integration. Each step focuses on practical examples, guiding you through building, training, and deploying robust NLP pipelines for real-world use.
Key Features
- Build custom NLP components and workflows tailored to your project needs
- Integrate large language models and transformers for advanced language tasks
- Deploy scalable NLP applications using spaCy with FastAPI and Streamlit
Target Audience
Ideal for NLP engineers, machine learning developers, and software engineers with Python experience who want to advance their skills in building and deploying NLP solutions. If you're looking to move from basic NLP concepts to production-grade language models and custom workflows, this course is designed for you.
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