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LLaMA course

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

What will I learn?

This course teaches selecting optimal 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, you'll learn thorough evaluation methods, CI/CD integration, and efficient maintenance for sustained performance.

Elevify advantages

Develop skills

  • Design LLaMA deployments with efficient single-GPU APIs and clear JSON interfaces.
  • Implement fine-tuning pipelines using LoRA/QLoRA on engineering documentation.
  • Prepare LLM data by cleaning, labeling, and augmenting internal technical content.
  • Apply safety and privacy measures including PII controls and access policies.
  • Establish LLM evaluation frameworks with tests, metrics, and CI validation.

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 Correctional 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
Great course. Lots of valuable information.
WiltonCivil Firefighter

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