Natural Language Processing (NLP) Courses and Certifications

H-EDUCATE

ChatGPT Prompt Engineering Course

429 reviews

Learn prompt engineering techniques for ChatGPT, covering basic concepts, advanced prompts, and practical examples to enhance AI interactions and improve outcomes.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Stanford Seminar - Natural Language Processing for Conversational Interfaces

Explore building production-quality conversational interfaces with advanced NLU techniques, addressing real-world challenges in domain classification, intent recognition, and entity handling for both text and voice applications.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Dialog Markets

Explore the potential of machine learning in complex problem-solving through dialog automation, cognitive actions, and crowdsourced contributions in a market-based system for high-quality conversations.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Training Classifiers with Natural Language Explanations

In this work, we propose BabbleLabble, a framework for training classifiers in which an annotator provides a natural language explanation for each labeling decision.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

IBM;  Amazon Microcredential

Natural Language Processing

309 ratings at Udacity

Master advanced NLP techniques, from text cleaning to machine translation. Build models for sentiment analysis, speech recognition, and more using deep learning and neural networks.

• Udacity
• 2 months 2 weeks 4 days 4 hours 48 minutes
• On-Demand
• Paid Course

Communicating with Natural Language

Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Computing With Natural Language

Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.

• Udacity
• 25 hours
• On-Demand
• Paid Course

Introduction to Natural Language Processing

This section provides an overview of the program and introduces the fundamentals of Natural Language Processing through symbolic manipulation, including text cleaning, normalization, and tokenization. You'll then build a part of speech tagger using hidde…

• Udacity
• 2 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Natural Language Processing and Capstone Assignment

36 ratings at Coursera

Explore natural language processing, sentiment analysis, topic modeling, and emerging trends in data science. Apply learned techniques to develop a comprehensive data analytics plan.

• Coursera
• 4 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Large Language Models - Will They Keep Getting Bigger?

Explore the future of large language models, discussing scaling challenges, sparse mixtures of experts, improved prompting techniques, and new forms of supervision for enhanced NLP performance.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Jacob Andreas - Natural Language Explanations of Deep Networks

Explore strategies for generating natural language explanations of deep networks, covering medical diagnosis, multiagent communication, and neuron descriptions in AI systems.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Transformando la educación con IA: ChatGPT

380 reviews

Descubre cómo la inteligencia artificial, especialmente el modelo de lenguaje ChatGPT, puede ser utilizado para potenciar el proceso de enseñanza y aprendizaje.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Sequence Models

30417 ratings at Coursera

Master sequence models for NLP tasks, including RNNs, LSTMs, and transformers. Apply these techniques to speech recognition, language modeling, and machine translation.

• Coursera
• 1 day 13 hours 17 minutes
• On-Demand
• Free Online Course (Audit)

Clinical Natural Language Processing

22 ratings at Coursera

Learn clinical NLP fundamentals, including linguistic principles, regular expressions, and text processing in R. Develop skills to extract information from clinical notes and apply them to identify diabetic complications.

• Coursera
• 12 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing in TensorFlow

6489 ratings at Coursera

Learn to process text, tokenize sentences, and apply RNNs, GRUs, and LSTMs in TensorFlow for natural language processing tasks, including sentiment analysis and poetry generation.

• Coursera
• 23 hours 19 minutes
• On-Demand
• Free Online Course (Audit)