Course 9: NLPs & AI Agents

Natural Language Processing (NLP) is a field of AI that involves processing text in order to extract information from human language. NLP enables computers to understand and interpret natural language, similar to how humans do. This course covers the steps involved in preprocessing text, relevant coding, and essential generative AI tools that are important for data scientists and AI practitioners.

This course will enable you to:

• Preparing and vectorizing data

• Building word embedding and text generation models

• Understanding multinomial and Gaussian generative models

• Exploring all the components of a successful chatbot and Robotic Process Automation

• Tokenizing sentences and creating a Stop Words dictionary

• Stemming and lemmatizing words, Parts of Speech, and Name Entity Recognition

• Using Bag of Words and TF-IDF, Word-Term matrix

• Topic Modeling with Latent Dirichlet Allocation (LDA) model

• Word Embeddings with word2vec: CBOW and SKIPGRAM methods