LLaMA course
Gain comprehensive expertise in LLaMA models from data preparation and fine-tuning to secure deployment, safety protocols, monitoring, evaluation, and CI integration. Build reliable, scalable AI assistants tailored for engineering and enterprise settings with strong privacy and performance focus.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course teaches selecting optimal LLaMA models, efficient fine-tuning on single GPUs, and preparing quality data for documentation. It covers secure deployment with APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, you'll learn thorough evaluation methods, CI/CD integration, and efficient maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments with efficient single-GPU APIs and clear JSON interfaces.
- Implement fine-tuning pipelines using LoRA/QLoRA on engineering documentation.
- Prepare LLM data by cleaning, labeling, and augmenting internal technical content.
- Apply safety and privacy measures including PII controls and access policies.
- Establish LLM evaluation frameworks with tests, metrics, and CI validation.
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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