Build LLMs Skills with Projects
LLMs projects can help you learn natural language processing, model training, prompt engineering, and evaluation techniques. You can build skills in data preprocessing, fine-tuning models, and deploying AI applications effectively. Many courses introduce tools like TensorFlow, PyTorch, and Hugging Face, that support developing and optimizing language models. By engaging with these resources, you can enhance your ability to create AI solutions that understand and generate human-like text.
Full List of LLMs Projects
Skills you'll gain: Model Evaluation, OpenAI API, Fine-tuning, Model Training, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Processing, LLM Application, Data Manipulation, Generative AI, Python Programming, Customer Analysis, Machine Learning, Customer Complaint Resolution
Duke University
Skills you'll gain: Large Language Modeling, Fine-tuning, Generative AI, Machine Learning, Model Training, Artificial Intelligence, Data Science
Duke University
Skills you'll gain: LLM Application, Model Deployment, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Generative AI, Open Source Technology, Cross Platform Development, Application Programming Interface (API), Machine Learning
Status: Free TrialSkills you'll gain: OpenAI API, LLM Application, OpenAI, Generative AI Agents, ChatGPT, Cost Benefit Analysis, Tool Calling, Generative AI, Cloud API, AI Integrations, Application Programming Interface (API), Development Environment, Business Logic, Prompt Engineering, Scalability, Business Analysis, Business Solutions, Scripting, TypeScript, Node.JS
What brings you to Coursera today?
In summary, here are 4 of our most popular llms courses
- GenAI For Business Analysis: Fine-Tuning LLMs:Â Coursera
- GenAI Basics - How LLMs Work:Â Duke University
- Local LLMs with llamafile:Â Duke University
- Automated Reasoning with GPT Assistant API: ReAct Agents:Â Coursera
