LLaMA course
Master LLaMA models comprehensively. Gain expertise in data preparation, fine-tuning, deployment design, safety protocols, monitoring, and evaluation to develop secure, scalable AI assistants for engineering and enterprise settings.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches selection of appropriate LLaMA models, efficient fine-tuning on a single GPU, and preparation of high-quality documentation data. It covers secure deployment with defined APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, it addresses thorough evaluation, CI integration, and efficient maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments: create efficient single-GPU APIs with precise JSON interfaces.
- Implement fine-tuning pipelines: conduct efficient LoRA/QLoRA experiments using engineering documents.
- Prepare data for LLMs: clean, label, and enhance internal technical content securely.
- Ensure safety and privacy: apply PII protections, access controls, and operational safeguards.
- Evaluate LLMs: establish tests, metrics, and CI processes for consistent model performance.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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