LLaMA course
Master LLaMA models end to end. Learn data prep, fine-tuning, deployment architecture, safety, monitoring, and evaluation to build secure, scalable internal AI assistants that work in real engineering and enterprise environments.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Llama Course shows you how to select the right LLaMA model, fine-tune it efficiently on a single GPU, and prepare high-quality internal documentation data. You learn safe deployment with clear APIs, monitoring, logging, and scaling, plus strong privacy controls and red-teaming. The course also covers rigorous evaluation, CI integration, and a streamlined maintenance workflow for reliable, long-term performance.
Elevify advantages
Develop skills
- LLaMA deployment design: build fast, single-GPU APIs with clean JSON contracts.
- Fine-tuning pipeline: run lean LoRA/QLoRA experiments on real engineering docs.
- Data prep for LLMs: clean, label, and augment internal tech content safely.
- Safety and privacy: enforce PII controls, access policies, and runtime safeguards.
- LLM evaluation: set up tests, metrics, and CI checks for reliable model 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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