AI-Based Natural Language Processing and Text Analysis
Learn the fundamentals and advanced methods of AI-powered natural language processing and text analysis.
About this course
This course provides a comprehensive introduction to AI-powered natural language processing (NLP) and text analysis. Participants will learn the foundations of machine learning and neural networks used for language processing. The course covers the development of modern AI-based language models like GPT, BERT, and Transformers, which are applied to tasks like text analysis, sentiment analysis, text generation, and machine translation. Additionally, participants will learn to develop AI-driven chatbots and voice assistants capable of engaging in human-like conversations. Practical projects offer the opportunity to apply the knowledge gained and develop real-world NLP applications.
What you'll learn
- Foundations of natural language processing with AI
- Development of AI language models like GPT and BERT
- Text and sentiment analysis with AI
- Building chatbots and voice assistants with AI
Course includes:
- 160 hours of hands-on training in AI-based natural language processing
- Access to AI tools and models for NLP
- Practical projects for chatbot development and text analysis
- Access to course materials and resources
Requirements:
- Basic knowledge of AI and machine learning
- Interest in natural language processing (NLP)
- Computer with internet access
- No specific NLP knowledge required
Course content:
- AI-Powered Foundations of Natural Language Processing: Introduction to machine learning and neural networks, which form the basis of NLP
- Development of AI-Based Language Models: Utilizing advanced AI technologies like GPT, BERT, and Transformer models to enhance language models
- AI-Powered Text and Sentiment Analysis: Automated detection of sentiments, emotions, and opinions in text using machine learning and deep learning
- Building AI-Driven Chatbots and Voice Assistants: Developing and implementing chatbots and voice assistants using AI to create human-like dialogues
- Machine Translation with AI: Using deep learning models like Seq2Seq and Transformer for automatic text translation between different languages
- Text Generation with AI and Deep Learning: Using generative models (like GPT-4) for automatic text generation, report writing, and creative text creation
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