edX
edXOpen Source LLMOps
97 studentsBEGINNEREnglish
Korshub's take
Open-Source LLMs: Fine-Tune and Deploy
Large language models aren't locked behind proprietary APIs anymore. This course dives into the open-source ecosystem—Transformers, Code Llama, Mistral, Stable Diffusion—and teaches you to fine-tune them on your data using SkyPilot, then deploy at scale with LoRAX or vLLM.
Hands-on capstone: You'll fine-tune and containerize a real model for production use.
The advantage: Open-source LLMs give you control, cost savings, and the ability to customize for your specific domain without vendor lock-in.
About this course
Experience Open Source Large Language Models (LLMs)
- Master cutting-edge LLM architectures like Transformers through hands-on labs
- Fine-tune models on your data with SkyPilot's scalable training platform
- Deploy efficiently with model servers like LoRAX and vLLM
Explore the Open Source LLM Ecosystem:
- Gain in-depth understanding of how LLMs work under the hood
- Run pre-trained models like Code Llama, Mistral & Stable Diffusion
- Discover advanced architectures like Sparse Expert Models
- Launch cloud GPU instances for accelerated compute
Guided LLM Project:
- Fine-tune LLaMA, Mistral or other LLMs on your custom dataset
- Leverage SkyPilot to scale training across cloud providers
- Containerize your fine-tuned model for production deployment
- Serve models efficiently with LoRAX, vLLM and other open servers
- Build powerful AI solutions leveraging state-of-the-art open source language models. Gain practical LLMOps skills through code-first learning.
Price
$449
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