Natural Language Processing

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Natural Language Processing

Coursera · Advanced ·🧠 Large Language Models ·2mo ago
Are you curious about how chatbots hold conversations or how ChatGPT generates human-like responses? This course in Natural Language Processing (NLP) is your gateway into the fascinating world where language meets AI. Designed for students and professionals alike, the course blends essential theory with hands-on experience to equip you with the skills needed to build intelligent language systems. We start by unravelling what makes language so complex—and why teaching machines to understand it is such a challenging task. You’ll explore the inner workings of Natural Language Understanding (NLU) and Generation (NLG), investigate real-world NLP applications, and dive into current trends like large language models (LLMs) and transformer-based systems. From there, you’ll roll up your sleeves and learn core NLP techniques like tokenization, stemming, lemmatization, and sentence segmentation. You’ll master vector-based approaches like Bag of Words and TF-IDF, then progress to powerful word embeddings like Word2Vec, Skip-gram, and GloVe. As you advance, you'll build language models, train simple neural networks, and explore cutting-edge tools in POS tagging, syntactic parsing, and semantic analysis. You’ll even touch the future with knowledge graphs and Word Sense Disambiguation. By the end, you’ll be ready to innovate in the fast-evolving NLP landscape. Graduates of this NLP course can pursue roles such as NLP Engineer, Machine Learning Engineer, or Data Scientist with a focus on language technologies. Opportunities also exist in AI-driven fields like chatbots, voice assistants, sentiment analysis, and information retrieval. Advanced learners may explore careers in research, LLM fine-tuning, or knowledge graph development. Are you ready to unlock the power of cutting-edge NLP skills? Join us on this exciting journey into the world of language, AI, and intelligent data processing!
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Transformers From Scratch: How Attention Really Works (With Visuals & Code)
Learn how Transformers work from scratch with visuals and code, understanding the attention mechanism that powers major LLMs and other models
Dev.to AI
Why I ditched regex scrapers for an LLM parser (and when you shouldn't)
Ditch regex scrapers for LLM parsers when dealing with complex HTML structures, but know when to stick with traditional methods
Dev.to AI
GLM-5.2 Is Here: China’s New AI Coding Model Comes With a 1 Million Token Context Window
Learn to use GLM-5.2, China's new AI coding model with a 1 million token context window, for free and discover its potential as the next AI software engineer
Medium · LLM
Human Reviewers Aren’t a Fallback -They’re a Signal Source
Human reviewers are a crucial signal source, not just a fallback, and leveraging them effectively is key to improving AI systems
Medium · LLM
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →