Natural Language Processing (NLP)
Teach machines to understand human language. Master text preprocessing, classical NLP, word embeddings, transformers, and fine-tune BERT for real-world NLP tasks.
What You'll Learn
Clean and preprocess raw text with tokenisation, stemming, and lemmatisation
Represent text as vectors: Bag of Words, TF-IDF, and word embeddings
Train Word2Vec and GloVe embeddings from scratch
Build text classifiers, sentiment analysers, and named entity recognisers
Fine-tune pre-trained BERT models with Hugging Face Transformers
Deploy an NLP API endpoint for production use
Curriculum Breakdown
Learning Format
Video Lessons
High-quality recorded lessons you can watch at your own pace.
Hands-on Projects
Real-world projects that reinforce every concept you learn.
Certificate
Earn a verifiable certificate upon successful completion.
Certification Details
Natural Language Processing Certificate
Issued by Tech101
Prove your NLP expertise from classical techniques to state-of-the-art transformers.
Certificate Requirements
- Shareable on LinkedIn
- PDF download
- Unique verification ID
Completion Certificate
Awarded upon finishing all course content and submitting projects. Shows dedication and completion.
Graded Certificate
Earned by passing the final assessment with 70%+ score. Demonstrates verified skill proficiency.
Your Instructor
Sarah Johnson
Data Scientist & ML Engineer
Sarah has 10 years of experience in data science and machine learning, previously at Google AI and DeepMind.
Requirements & Prerequisites
Technical Requirements
- Deep Learning Fundamentals or TensorFlow/Keras course
- Python proficiency and basic ML knowledge
Who This Course Is For
- ML engineers working with text data
- Data scientists building chatbots or text analytics systems
- Data Science & AI track students
Student Reviews
Frequently Asked Questions
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