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LLaMA course

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

What will I learn?

This course teaches selecting the best LLaMA model, efficient fine-tuning on one GPU, and preparing quality data from internal docs. It covers secure deployment with APIs, monitoring, logging, scaling, privacy, and red-teaming, plus evaluation, CI integration, and maintenance for sustained performance.

Elevify advantages

Develop skills

  • Design LLaMA deployments: create efficient single-GPU APIs with clear JSON interfaces.
  • Build fine-tuning pipelines: conduct efficient LoRA/QLoRA on engineering documents.
  • Prepare LLM data: clean, label, and enhance internal technical content securely.
  • Implement safety and privacy: apply PII controls, access rules, and runtime protections.
  • Conduct LLM evaluations: establish tests, metrics, and CI 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 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 I work for.
SilviaNurse
Really great course. Lots of valuable information.
WiltonCivil Firefighter

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