InternshipWhat a Natural Language Processing intern does
The Natural Language Processing role, what you build at each level and what you need before you start.
Teach computers to understand language: text cleaning, TF-IDF and classic classifiers, embeddings, transformer fine-tuning, NER, summarisation, semantic search, Indian languages and speech to text.
What you build, level by level
- Level 1: Foundations: What NLP is, Text cleaning, Tokenization and more.
- Level 2: Building real features: Fine-tune a text classifier, Named entity recognition model, Text summarisation and more.
- Level 3: Professional work and capstone: Speech to text, Bias check, Error analysis and more.
Where this work is used
Training Trains, W3AppDevelopers and DomainHostly use these skills in real projects: AI / Machine Learning Solutions. Interns who pass the readiness check can take paid-company work from the Company Work board in the portal.
Before you start
Basic Python is needed. Free Colab or Kaggle GPUs are enough for fine-tuning.