ARTIFICIAL-INTELLIGENCE · 4 WEEKS · 75 LESSONS
AI Orchestration with Local Models: From Development to Production
Master local AI model orchestration, from development to production deployment, using modern tools like Llamafile, Ollama, and Rust
Master the art of AI system orchestration using local models, covering essential topics from prompt engineering to cloud deployment. Learn hands-on skills with Llamafile, Ollama, and Rust tools while building production-ready AI systems. This comprehensive course teaches practical implementation of RAG systems, GPU optimization, model deployment, and integration with cloud services, providing both theoretical knowledge and real-world engineering practices for building efficient AI infrastructures.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“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 art of AI system orchestration using local models, covering essential topics from prompt engineering to cloud deployment. Learn hands-on skills with Llamafile, Ollama, and Rust tools while building production-ready AI systems. This comprehensive course teaches practical implementation of RAG systems, GPU optimization, model deployment, and integration with cloud services, providing both theoretical knowledge and real-world engineering practices for building efficient AI infrastructures.
Master prompt engineering techniques including chain-of-thought prompting and RAG system implementation
Deploy and optimize local AI models using Llamafile and Ollama with proper system monitoring
Develop AI applications using Rust tools and integrate with cloud services like AWS
Implement production-grade AI systems with proper monitoring and optimization
03 — Syllabus
4 weeks, 75 lessons total.
- Course intro
- Course overview
- Ai Orchestration overview
- Key terms
- Lab
- Quiz
- Llamafile getting started Gemma
- Llamafile simple
- Rust hello world project structure
- Key terms
- Lab
- Quiz
- Compiling RUST candle GPU
- Key terms
- Lab
- Quiz
- Reflection
- Aws spot Deploy ML
- Technical training approaches
- Key terms
- Lab
- Quiz
- Reflection
- Effective AI engineering learning
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.