LLaMA course
Gain complete expertise in LLaMA models, from data preparation and fine-tuning to deployment, safety measures, monitoring, and evaluation. Build reliable, secure, scalable AI assistants tailored for engineering and enterprise settings that deliver long-term value.

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.What our students say
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