NLP courses can help you learn text processing, sentiment analysis, language modeling, and chatbot development. You can build skills in data preprocessing, feature extraction, and evaluating model performance. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks like TensorFlow and PyTorch, that support implementing NLP techniques and developing applications that utilize artificial intelligence.

Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Embeddings, Generative AI, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
Advanced · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Model Evaluation, Data Validation, API Design, Data Pipelines, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Hugging Face, Large Language Modeling, LLM Application, CI/CD, Tensorflow, PyTorch (Machine Learning Library)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Model Evaluation, Hugging Face, Data Transformation, Feature Engineering, Data Pipelines, Image Analysis, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Multilingualism
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Metric, Quality Assessment
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months