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LLaMA course

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

What Will I Learn?

This course teaches selection of suitable LLaMA models, efficient fine-tuning on single GPUs, and preparation of quality internal documentation data. It covers secure deployment with APIs, monitoring, logging, scaling, privacy controls, and red-teaming, alongside evaluation, CI integration, and maintenance workflows 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 on engineering documents.
  • Prepare LLM data: clean, label, and enhance internal technical content securely.
  • Ensure 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

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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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