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

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
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