LLaMA course
Gain complete expertise in LLaMA models, from data preparation and fine-tuning to deployment, safety protocols, monitoring, and evaluation. Build reliable, secure AI assistants for engineering and enterprise use that scale effectively and maintain high standards over time.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches selecting suitable LLaMA models, efficient fine-tuning on one GPU, and preparing quality data from internal docs. It covers secure deployment via APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, you'll handle thorough evaluations, CI pipelines, and maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments with quick single-GPU APIs and clear JSON interfaces.
- Set up efficient fine-tuning using LoRA/QLoRA on engineering documents.
- Prepare LLM data by cleaning, labelling, and enhancing internal tech materials securely.
- Implement safety and privacy via PII controls, policies, and runtime protections.
- Establish LLM evaluations with tests, metrics, and CI for consistent quality.
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 workload.What our students say
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