OPEN-SOURCE-AI · 2 WEEKS · 34 LESSONS
Open Source LLMs on AWS: From Compilation to Deployment
Deploy and optimize open source LLMs on AWS, mastering compilation, integration, and GPU deployment strategies
Master the deployment of open source Large Language Models on AWS infrastructure. Learn essential concepts from parallel compilation optimization to GGUF format implementation. This comprehensive course covers llama.cpp compilation, UV package management, Qwen integration, and GPU deployment strategies. Gain hands-on experience optimizing model performance, implementing chatbots, and deploying production-ready open source LLM solutions on AWS cloud infrastructure.
01 — What learners say
Real feedback from real learners.
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“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Master the deployment of open source Large Language Models on AWS infrastructure. Learn essential concepts from parallel compilation optimization to GGUF format implementation. This comprehensive course covers llama.cpp compilation, UV package management, Qwen integration, and GPU deployment strategies. Gain hands-on experience optimizing model performance, implementing chatbots, and deploying production-ready open source LLM solutions on AWS cloud infrastructure.
Master open source LLM deployment fundamentals on AWS
Optimize parallel compilation using Amdahl's Law principles
Configure llama.cpp compilation flags for maximum performance
Implement and understand GGUF format for model optimization
03 — Syllabus
2 weeks, 34 lessons total.
- Course intro open source LLMS
- Key terms
- Lab
- Quiz
- Reflection
- Amdahls law parallel compilation
- Llamacpp QWEN integration
- Qwen Chatbot implementation
- Key terms
- Lab
- Quiz
- Reflection
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.