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 are saying
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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