LLaMA course
Gain complete 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 in real-world settings.

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 effectively on one GPU, and ready quality data from internal docs. You'll master secure deployment using simple APIs, with monitoring, logging, scaling, privacy features, and safety testing. It includes thorough evaluation methods, CI pipelines, and easy upkeep for steady performance.
Elevify advantages
Develop skills
- Design LLaMA deployments: create quick single-GPU APIs with clear JSON interfaces.
- Build fine-tuning pipelines: conduct efficient LoRA/QLoRA tests on engineering documents.
- Prepare data for LLMs: clean, label, and enhance internal technical content securely.
- Implement safety and privacy: apply PII protections, access rules, and runtime security.
- Evaluate LLMs: establish tests, metrics, and CI processes for consistent model performance.
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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