Natural Language Processing (NLP)
NLP turns unstructured text into business value. This course covers everything from classical text processing through transformer-based language models — and includes hands-on chatbot, sentiment-analysis and document-extraction projects using modern Hugging Face and OpenAI tooling.
NLP turns unstructured text into business value. This course covers everything from classical text processing through transformer-based language models — and includes hands-on chatbot, sentiment-analysis and document-extraction projects using modern Hugging Face and OpenAI tooling.
Syllabus
- Text Processing & Tokenization
- TF-IDF & Word Embeddings
- Sentiment Analysis
- Named Entity Recognition
- Topic Modeling
- Transformer Models
- Chatbots & Conversational AI
- Production NLP Deployment
What you will learn
- Build NLP pipelines end-to-end
- Use transformers for real tasks
- Ship a working chatbot
- Extract structured data from documents
Tools you will use
- NLTK
- spaCy
- Hugging Face
- OpenAI API
- LangChain
- Python
Projects
- Customer review sentiment analyzer
- Resume parser with NER
- Domain-specific chatbot
- Semantic search engine
Career paths
- NLP Engineer
- Conversational AI Developer
- Text Analytics Specialist
- Search Engineer
Who should join
- AI enthusiasts
- Linguists going technical
- Developers building text products
Prerequisites
- Basic Python helpful (we cover from scratch)
- High-school math
- Curiosity for problem-solving
Certificate
AI specialization certificate with deployed real-world AI projects in your portfolio.
Syllabus
- Text Processing & Tokenization
- TF-IDF & Word Embeddings
- Sentiment Analysis
- Named Entity Recognition
- Topic Modeling
- Transformer Models
- Chatbots & Conversational AI
- Production NLP Deployment
Learning outcomes
- Build NLP pipelines end-to-end
- Use transformers for real tasks
- Ship a working chatbot
- Extract structured data from documents
Tools
- NLTK
- spaCy
- Hugging Face
- OpenAI API
- LangChain
- Python
Projects
- Customer review sentiment analyzer
- Resume parser with NER
- Domain-specific chatbot
- Semantic search engine
Career paths
- NLP Engineer
- Conversational AI Developer
- Text Analytics Specialist
- Search Engineer
Who should join
- AI enthusiasts
- Linguists going technical
- Developers building text products
Prerequisites
- Basic Python helpful (we cover from scratch)
- High-school math
- Curiosity for problem-solving
Frequently asked questions
Can I build chatbots after this?
Yes — chatbot development is a core part of the curriculum, including modern LLM-powered bots.
Which tools and technologies will I actually use?
You work hands-on with NLTK, spaCy, Hugging Face, OpenAI API, LangChain and Python throughout the course, rather than only studying them in theory.
What will I be able to do by the end?
By the end you can: Build NLP pipelines end-to-end; Use transformers for real tasks; Ship a working chatbot; Extract structured data from documents.