LLaMA course
Gain complete expertise in LLaMA models, from data preparation and fine-tuning to deployment, safety protocols, monitoring, and evaluation. Build reliable, secure AI assistants for engineering and enterprise use that scale effectively and maintain high standards over time.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches selecting suitable LLaMA models, efficient fine-tuning on one GPU, and preparing quality data from internal docs. It covers secure deployment via APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, you'll handle thorough evaluations, CI pipelines, and maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments with quick single-GPU APIs and clear JSON interfaces.
- Set up efficient fine-tuning using LoRA/QLoRA on engineering documents.
- Prepare LLM data by cleaning, labelling, and enhancing internal tech materials securely.
- Implement safety and privacy via PII controls, policies, and runtime protections.
- Establish LLM evaluations with tests, metrics, and CI for consistent quality.
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 my interest without needing to change platforms... I thank you 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, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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