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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 selection of appropriate LLaMA models, efficient fine-tuning on a single GPU, and preparation of high-quality documentation data. It covers secure deployment with defined APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, it addresses thorough evaluation, CI integration, and efficient maintenance for sustained performance.

Elevify advantages

Develop skills

  • Design LLaMA deployments: create efficient single-GPU APIs with precise JSON interfaces.
  • Implement fine-tuning pipelines: conduct efficient LoRA/QLoRA experiments using engineering documents.
  • Prepare data for LLMs: clean, label, and enhance internal technical content securely.
  • Ensure safety and privacy: apply PII protections, access controls, and operational safeguards.
  • Evaluate LLMs: 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 Prison System Intelligence Advisor, 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
Great course. Lots of valuable information.
WiltonCivil Firefighter

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