LLaMA course
Gain complete expertise in LLaMA models from start to finish. Master data preparation, fine-tuning, deployment design, safety measures, monitoring, and evaluation to create secure, scalable AI assistants for engineering and enterprise settings that deliver reliable performance.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches you to choose the best LLaMA model, fine-tune it effectively on one GPU, and ready top-notch internal docs data. You'll master secure deployment via simple APIs, with monitoring, logging, scaling, privacy protections, and red-teaming. It includes thorough evaluation, CI pipelines, and efficient upkeep for dependable, ongoing results.
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 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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