Large Language Models Professional Certificate

What you will learn:
- How to apply LLMs to real-world problems in natural language processing using popular libraries, such as Hugging Face and LangChain.
- How to build a custom chat model leveraging open-source LLMs.
- Understand the theory behind foundation models, how to fine-tune foundation models on custom datasets, and the innovations that led to GPT-4 and ChatGPT.
- How to implement LLMOps and multi-step reasoning best practices.
- How to evaluate the efficacy and bias of LLMs using different methods.

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Large Language Models: Foundation Models from the Ground Up (edX)

This course dives into the details of foundation models in natural language processing (NLP). You will learn the innovations that led to the proliferation of transformer-based models, including BERT, GPT, and T5, and the key breakthroughs that led to applications such as ChatGPT.

Large Language Models: Application through Production (edX)

Self Paced
Large Language Models: Application through Production (edX)
Course Auditing
Categories
Effort
Languages
This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for production!