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    • Home
    • B2B Workshops
      • Data Visualization
      • Stats & Data Analytics
      • Machine Learning
      • Deep Learning
      • NLPs
      • Analytical Tools
      • ICT &Technologies
      • Managers' Corner
      • Healthcare
      • Related Topics
    • Public Training
    • Academic Diploma
      • Data Science & AI Diploma
      • Testimonials
      • Our Lifestyle in Pics
      • FAQs
      • LAU-ACE/SAS Dual Diploma
    • Diploma Courses
      • C1 - Visualize & Describe
      • C2 - Stat. Data Analysis
      • C3 - Data Management
      • C4 - Supervised ML
      • C5 - Unsupervised ML
      • C6 - Big Data
      • C7 - NNs & Deep Learning
      • C8 - Gen. Deep Learning
      • C9 - NLPs & AI Agents
      • C10 - AI Solutions
    • Meet the Experts
    • Clients
    • TV & Events
    • Contact Us
"Data Science and AI" Educational Expertise
  • Home
  • B2B Workshops
    • Data Visualization
    • Stats & Data Analytics
    • Machine Learning
    • Deep Learning
    • NLPs
    • Analytical Tools
    • ICT &Technologies
    • Managers' Corner
    • Healthcare
    • Related Topics
  • Public Training
  • Academic Diploma
    • Data Science & AI Diploma
    • Testimonials
    • Our Lifestyle in Pics
    • FAQs
    • LAU-ACE/SAS Dual Diploma
  • Diploma Courses
    • C1 - Visualize & Describe
    • C2 - Stat. Data Analysis
    • C3 - Data Management
    • C4 - Supervised ML
    • C5 - Unsupervised ML
    • C6 - Big Data
    • C7 - NNs & Deep Learning
    • C8 - Gen. Deep Learning
    • C9 - NLPs & AI Agents
    • C10 - AI Solutions
  • Meet the Experts
  • Clients
  • TV & Events
  • Contact Us

Course 9: NLPs & AI Agents

Course Overview

Natural Language Processing (NLP) is an field of AI that involves processing text to extract information from human language. NLP enables computers to understand and interpret natural language like humans. 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.

Course Objectives

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 

• Building a smart AI Agent with VoiceFlow.

Week 1: Data Preparation

Week 1: Data Preparation

Week 1: Data Preparation

  • Tokens, stemming, stop words, ... 
  • Word Vectorization: TF-IDF, ...
  • Word2Vec & Glove Embedding

Week 2: Generating Text

Week 1: Data Preparation

Week 1: Data Preparation

  • RNN and LSTM
  • Topic Modeling
  • Attention &Transformers

Week 3: AI Agents

Week 1: Data Preparation

Week 3: AI Agents

  • Structure & Design
  • Knowledge Reservoir
  • Flow of tasks

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