LLaMA course
Gain complete expertise in LLaMA models from start to finish. Master data preparation, fine-tuning techniques, deployment strategies, safety protocols, monitoring systems, and evaluation processes to create secure, scalable AI assistants tailored for engineering teams and enterprise settings that deliver reliable results over time.

from 4 to 360h 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 for documentation. It covers secure deployment using clear APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, you will learn thorough evaluation methods, CI integration, and efficient maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments: create quick single-GPU APIs with 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 runtime security.
- Conduct LLM evaluations: establish tests, metrics, and CI pipelines for consistent quality.
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.What our students say
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