Large Language Models courses can help you learn natural language processing, text generation techniques, and model evaluation methods. You can build skills in fine-tuning models, understanding tokenization, and implementing ethical AI practices. Many courses introduce tools like TensorFlow and PyTorch, along with libraries such as Hugging Face Transformers, that support developing and deploying AI applications that leverage large language models.
Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, AI Workflows, Performance Tuning, Model Deployment, Prompt Engineering, Enterprise Application Management, Maintainability, System Monitoring, Scalability, Application Performance Management, Cost Reduction, Vector Databases
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Ethics, Data Validation, Generative AI, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Unstructured Data, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Model Evaluation, Large Language Modeling, Transfer Learning, Performance Tuning, Development Environment, Natural Language Processing, Jupyter
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging
Advanced · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Peer Review, Language Learning, Spanish Language, Oral Expression, Grammar, Oral Comprehension, Vocabulary, Culture, Writing and Editing, Language Competency, Research, Writing
Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Database Design, Data Processing, Web Scraping, Data Visualization, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Structures, Programming Principles, Data Cleansing, Network Protocols, Data Analysis, Python Programming, Computer Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, System Monitoring, Verification And Validation, Legal Technology, Semantic Web, E-Commerce, Large Language Modeling, Data Validation, Unsupervised Learning, Data Manipulation, Dimensionality Reduction, Performance Metric, Cost Reduction
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, AI Workflows, Model Deployment, Transfer Learning, Application Deployment, Embeddings, Vector Databases, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, Generative AI Agents, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Python Programming, Pandas (Python Package), Scalability, Application Development, Safety and Security
Beginner · Course · 1 - 4 Weeks

IBM
Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks