LLaMA course
Gain full control over LLaMA models from start to finish. Master data preparation, fine-tuning, deployment setup, safety measures, monitoring, and evaluation to create secure, scalable AI helpers for real engineering and business settings that deliver reliably every time.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches you to pick the best LLaMA model, fine-tune it smartly on one GPU, and ready top-notch internal docs data. You'll master secure deployment with solid APIs, monitoring, logging, scaling, plus tight privacy and red-teaming. It includes thorough evaluation, CI setup, and smooth maintenance for steady, long-haul results.
Elevify advantages
Develop skills
- Design LLaMA deployments: create quick single-GPU APIs with neat JSON setups.
- Build fine-tuning pipelines: run efficient LoRA/QLoRA tests on actual engineering documents.
- Prepare data for LLMs: clean, label, and boost internal tech content securely.
- Ensure safety and privacy: apply PII rules, access controls, and runtime protections.
- Evaluate LLMs: establish tests, metrics, and CI checks 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 workloadWhat our students say
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