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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 the best LLaMA model, fine-tuning it on one GPU, and preparing quality data for documentation. It covers safe deployment using clear APIs, monitoring, logging, scaling, privacy protections, and red-teaming. Additionally, you will learn thorough evaluation methods, CI integration, and efficient maintenance processes for sustained performance.

Elevify advantages

Develop skills

  • Design LLaMA deployments: create quick single-GPU APIs with simple JSON interfaces.
  • Build fine-tuning pipelines: conduct efficient LoRA/QLoRA tests using actual 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 measures.
  • Conduct LLM evaluations: 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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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