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LLaMA course

LLaMA course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course teaches selecting appropriate LLaMA models, efficient fine-tuning on single GPUs, and preparing quality data for documentation. It covers secure deployment with APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, it includes thorough evaluation methods, CI integration, and maintenance workflows for sustained performance.

Elevify advantages

Develop skills

  • Design LLaMA deployments: create efficient single-GPU APIs using clear JSON interfaces.
  • Build fine-tuning pipelines: conduct efficient LoRA/QLoRA tests on engineering documents.
  • Prepare data for LLMs: clean, label, and enhance internal technical content securely.
  • Implement safety and privacy: apply PII protections, access rules, and operational security.
  • Conduct LLM evaluations: establish tests, metrics, and CI processes 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.
Workload: between 4 and 360 hours

What our students say

Your classes 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 Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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