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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 suitable 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, 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 safeguards.
  • Conduct LLM evaluations: establish tests, metrics, and CI processes for consistent model performance.

Suggested summary

Before starting, you can change the chapters and 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 for 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
Great course. Lots of valuable information.
WiltonCivil Firefighter

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