Mastering NLP: Advanced Natural Language Processing
Natural Language Processing (NLP) is the backbone of many AI-driven applications, enabling machines to understand, interpret, and respond to human language. This advanced course on NLP delves deeper into the techniques and tools used to handle complex language tasks such as sentiment analysis, machine translation, and conversational AI. It is designed for individuals who already have a basic understanding of NLP and are looking to master advanced concepts for building sophisticated language models and applications.
Each lesson provides hands-on experience and in-depth theoretical knowledge, focusing on cutting-edge NLP techniques like BERT, GPT, and transformer models. By the end of this course, you will be well-versed in creating and optimizing advanced NLP applications for tasks like text generation, language understanding, and semantic search.
Related
Curriculum
- 15 Sections
- 15 Lessons
- Lifetime
- Lesson 1: Advanced Text Preprocessing Techniques1
- Lesson 2: Word Embeddings and Beyond1
- Lesson 3: Transformer Architectures1
- Lesson 4: Sequence-to-Sequence Models1
- Lesson 5: Sentiment Analysis and Opinion Mining1
- Lesson 6: Named Entity Recognition (NER)1
- Lesson 7: Question Answering Systems1
- Lesson 8: Text Classification with Deep Learning1
- Lesson 9: Contextual Language Models (BERT, GPT)1
- Lesson 10: NLP for Conversational Agents1
- Lesson 11: Handling Multilingual NLP1
- Lesson 12: Semantic Search and Information Retrieval1
- Lesson 13: Text Generation and Summarization1
- Lesson 14: Ethical Considerations in NLP1
- Lesson 15: Real-World NLP Applications1

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