Emily

Natural Language Processing

Explore the fascinating field of Natural Language Processing, learning how computers understand, interpret, and generate human language.

  • Certificate of completion
  • Fully personalized curriculum
  • All Levels - Beginner to Advanced
  • AI Tutor adapts to your style

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MarkoЈасминаTeodoraDraganaДмитрий

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How Personalized Learning Works

Whether you're a complete beginner or advanced learner — every course adapts to your exact level for deep, lasting skill development.

Assessment & Goal Setting
Your AI tutor evaluates your current knowledge and understands what you want to achieve with this skill.
Custom Learning Path Created
Based on your level and goals, a personalized curriculum is generated specifically for your needs and learning style.
Guided Learning Experience
Your tutor adapts the pace, difficulty, and focus areas as you progress, ensuring optimal learning at every step.
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Who Is This Course For

Anyone interested in Natural Language Processing. Our AI tutor personalizes the learning experience after you start the course, adapting to your current level and goals. Whether you're looking to:

  • Understand the basics of how machines process human language
  • Explore applications like sentiment analysis and machine translation
  • Develop foundational skills for a career in AI or data science

How This Works

Our personalized approach means the AI tutor adapts to your unique learning style, pace, and objectives. The course content dynamically adjusts based on your progress, interests, and career goals, ensuring an optimal learning experience tailored specifically for you.

What This Course Is About

This course provides a comprehensive introduction to Natural Language Processing (NLP), a subfield of artificial intelligence that focuses on the interaction between computers and human language. You will learn about the fundamental concepts and techniques used to enable computers to understand, interpret, and generate human speech and text. Key topics include:

  • Text Preprocessing: Tokenization, stemming, lemmatization, and stop-word removal.
  • Feature Engineering: Bag-of-words, TF-IDF, and word embeddings (Word2Vec, GloVe).
  • Basic NLP Tasks: Sentiment analysis, text classification, and named entity recognition.
  • Language Models: Introduction to statistical and neural language models.
  • Applications of NLP: Machine translation, chatbots, and summarization.
  • Ethical Considerations: Bias in NLP models and data privacy. You will gain a solid understanding of the theoretical foundations and practical applications of NLP, preparing you to explore more advanced topics or apply these skills in real-world scenarios.

Certificates with QR validation

Course Certificate
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