260€
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The Course on NLP, Chatbots, and Artificial Intelligence offers you the chance to dive into the rapidly growing world of AI technology. As industries increasingly rely on smart systems, the demand for skilled professionals in NLP and chatbots is soaring. This course is designed to equip you with essential skills to understand and develop AI-driven applications, making you a sought-after talent in the job market. You'll explore the latest trends and tools in AI, gaining insights into how they transform businesses and improve user interactions. With expert guidance and comprehensive content, you'll be prepared to harness AI's potential and drive innovation in your career. Join us to stay ahead in this exciting field and unlock new career opportunities.
Universidades colaboradoras
Para qué te prepara
The Course on NLP, Chatbots, and Artificial Intelligence equips you with the skills to design and implement advanced conversational agents. You'll learn to leverage natural language processing techniques to enhance user interactions, and gain the ability to integrate AI solutions into existing systems. After completing the course, you'll be adept at crafting intuitive chatbot experiences and effectively applying AI to solve complex problems, ensuring you stay at the forefront of technological advancements.
Objetivos
- To understand the fundamentals of NLP and their applications in AI systems. - To explore the architecture and functioning of chatbots in various industries. - To analyse different machine learning models used in natural language processing. - To identify key challenges and solutions in developing AI-driven conversational agents. - To evaluate the ethical considerations in AI and NLP technologies. - To develop strategies for implementing AI solutions in real-world scenarios. - To examine case studies of successful AI and chatbot applications.
A quién va dirigido
This course is aimed at professionals and graduates in the technology and digital sectors who wish to deepen their understanding of Natural Language Processing, chatbots, and Artificial Intelligence. Ideal for those looking to enhance or update their knowledge in these dynamic fields, it offers a comprehensive and accessible learning opportunity.
Salidas Profesionales
- AI Specialist in tech companies - NLP Researcher in academia - Chatbot Developer for customer service - Data Scientist focusing on text analytics - AI Consultant for business solutions - Machine Learning Engineer in startups - Voice Assistant Designer for smart devices - Content Analyst using AI tools
Temario
UNIT 1. INTRODUCTION TO NLP
- What is NLP?
- What does NLP include?
- Examples of NLP applications
- Future of NLP
UNIT 2. NLP IN PYTHON
- NLP in Python with the NLTK library
- - Installing the NLTK Library
- - Sentence tokenization
- - Word tokenization
- - Text lemmatization and stemming
- - Stop Words
- - RegEx
- - Bag of Words
- - TF-IDF
- Other tools for NLP
UNIT 3. SYNTACTIC ANALYSIS IN NLP
- Principles of syntactic analysis
- Context-free grammar
- Parsers
UNIT 4. COMPUTATIONAL SEMANTICS FOR NLP
- Introduction to semantic analysis
- Semantic language for NLP
- Pragmatic analysis
UNIT 5. INFORMATION RETRIEVAL AND EXTRACTION
- Introductory aspects
- Steps in information extraction
- - Basic concepts
- - Deciding between macro-understanding vs. micro-understanding
- - Feasibility study
- - Understanding the entire document (Macro-understanding)
- - Extracting facts, entities, and relationships (Micro-understanding)
- - Maintain traceability
- - Human assistance in the process
- NLP Example
- - Obtaining the data (Stories)
- - Initial exploration (Loading the data)
- - Data Cleaning
- - Exploratory analysis
- - Sentiment analysis
- - Topic modeling
- NLP example with English text input
- - Tokenization
- - Frequency distribution
- - Stop Words
- - Word Stemming
- - POS Tagging
UNIT 6. WHAT IS A CHATBOT?
- Introductory aspects
- What is a chatbot?
- - Evolution of chatbots
- How does a chatbot work?
- Voicebots
- - Types of voicebots
- Challenges for chatbots
- - Chatbot security
- - Chatbot personalization
- - User feelings and emotions in voicebots
- - Multilingual support
UNIT 7. THE CONNECTION BETWEEN AI AND CHATBOTS
- Chatbots and the role of Artificial Intelligence (AI)
- Uses and benefits of chatbots
- Difference between bots, chatbots and AI
UNIT 8. APPLICATION OF CHATBOTS
- Areas of application of chatbots
- Development of a chatbot with ChatterBot and Python
- Development of a chatbot for Facebook Messenger with Chatfuel
Titulación
Claustro
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