LLaMA course
Gain complete expertise in LLaMA models from start to finish. Master data preparation, fine-tuning techniques, deployment setups, safety measures, monitoring tools, and evaluation methods to create secure, scalable AI assistants for engineering and business 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 with APIs, monitoring, logging, scaling, privacy, and red-teaming. You will also learn thorough evaluation, CI integration, and maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments: create quick single-GPU APIs using clear JSON formats.
- Build fine-tuning pipelines: conduct efficient LoRA/QLoRA tests on engineering documents.
- Prepare data for LLMs: clean, label, and enhance technical content securely.
- Implement safety and privacy: apply PII protections, access rules, and runtime security.
- Conduct LLM evaluations: establish tests, metrics, and CI processes for model reliability.
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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