Generative AI for NLP with PyTorch Capstone Project
About this course
Get ready to put your Generative AI, Natural Language Processing (NLP), and PyTorch skills into action in this hands-on capstone project from IBM. During this course, you’ll solve a real-world text classification challenge by building an end-to-end NLP workflow, from raw text processing to model evaluation. You’ll design and implement complete pipelines, including text preprocessing, tokenization, vocabulary creation, and dataset preparation using PyTorch Dataset and DataLoader. You’ll train and compare RNN, LSTM, and Transformer models, and explore how each architecture processes language differently. Plus, you’ll fine-tune pretrained models using Hugging Face Transformers, applying techniques used in production-grade AI systems. By the end of the course, you’ll have a portfolio-worthy capstone project that showcases your ability to build, optimize, and evaluate NLP models using metrics such as accuracy and F1-score. Great for talking about in interviews. Enroll today to strengthen your Generative AI and NLP skills and showcase your expertise with this powerful, job-oriented capstone project.
83/100
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- What the provider tells you
- 32/45
- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- build NLP workflows
- process raw text data
- train RNN, LSTM, and Transformer models
- fine-tune pretrained models using Hugging Face Transformers
- evaluate models using accuracy and F1-score
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