LLaMA course
Gain full control over LLaMA models from start to finish. Master preparing data, fine-tuning techniques, deployment setups, safety measures, monitoring tools, and evaluation processes to create secure, scalable AI assistants for engineering teams and businesses that deliver reliable results day in and day out.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to pick the best LLaMA model, fine-tune it on one GPU, and ready quality data from internal docs. You'll master safe deployment using simple APIs, with monitoring, logging, scaling, privacy protections, and red-teaming tests. It includes thorough evaluation methods, CI/CD setup, and easy maintenance for steady performance.
Elevify advantages
Develop skills
- Design LLaMA deployments: create quick single-GPU APIs with straightforward JSON interfaces.
- Build fine-tuning pipelines: conduct efficient LoRA/QLoRA tests using actual technical documents.
- Prepare data for LLMs: clean, label, and enhance internal content securely.
- Implement safety and privacy: apply PII protections, access rules, and operational security.
- Evaluate LLMs: establish testing frameworks, metrics, and CI processes 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 workloadWhat our students say
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