Register for Natural Language Processing Course
Master NLP with Python, NLTK, spaCy, and Transformers in our 30-hour expert-led course. Limited spots available!
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Why Join the Natural Language Processing Course?
This 30-hour training program equips you to build intelligent language-based applications using Python, NLTK, spaCy, and Transformers. With hands-on labs and real-world projects, you’ll master NLP techniques.
- Duration: 30 hours of expert-led training
- Level: Beginner to Intermediate
- Format: Online, self-paced with live Q&A sessions and instructor support
- Tools: Python, NLTK, spaCy, Transformers, scikit-learn, Gensim, Hugging Face, Rasa
- Certification: Earn a Certificate of Completion recognized by top employers
- Support: Access to a private community and 1:1 mentorship options
Investment: £750
An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment instructions.
What You’ll Master
Introduction to NLP
- NLP history and applications
- Tokenization, stemming, lemmatization
- Setting up Python, NLTK, spaCy
- Hands-on: Analyzing text corpus
- Syntax, semantics, pragmatics
- Real-world: Google’s NLP
- Text dataset preparation
- Exercise: Word frequency analyzer
Text Preprocessing and Analysis
- Stop words, regex, POS tagging
- Bag of Words, TF-IDF
- Hands-on: Features with scikit-learn
- Word clouds, frequency plots
- N-grams, co-occurrence
- Lab: Social media sentiment
- Optimizing large datasets
- Case study: Movie reviews
Machine Learning for NLP
- Supervised vs. unsupervised learning
- Text classification: Naive Bayes, SVM
- Hands-on: Spam detector
- Topic modeling: LDA, NMF
- Precision, recall, F1-score
- Lab: News article classification
- Handling imbalanced datasets
- Project: Customer feedback
Deep Learning and Transformers
- RNNs, LSTMs, GRUs
- Word2Vec, GloVe, FastText
- Hands-on: Embeddings with Gensim
- BERT, GPT, attention mechanisms
- Fine-tuning with Hugging Face
- Lab: Text summarizer with BERT
- Multilingual NLP tasks
- Case study: ChatGPT architecture
Building and Deploying NLP Applications
- Chatbots with Rasa, Dialogflow
- Hands-on: Chatbot web app
- NER with spaCy
- Scaling with AWS, GCP
- Monitoring model performance
- Lab: Q&A system with Transformers
- Bias and fairness in NLP
- Final project: NLP solution
Why Choose This Course?
- Taught by NLP industry experts
- Hands-on projects with real datasets
- Flexible online learning with support
- Cutting-edge NLP tools and techniques
- Prepares for NLP careers
- Lifetime access to course updates
Ready to Master NLP?
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