LLaMA course
Gain complete expertise in LLaMA models from start to finish. Master preparing data, fine-tuning techniques, deployment setups, safety protocols, monitoring systems, and evaluation methods to create secure, expandable internal AI helpers suited for actual engineering and business settings in Uganda.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This course teaches you to pick the best LLaMA model, fine-tune it effectively using just one GPU, and ready top-notch documentation data. You'll master secure deployment featuring straightforward APIs, tracking, records, scaling, robust privacy measures, and safety testing. It also includes thorough assessment, continuous integration setup, and efficient upkeep processes for steady, enduring results.
Elevify advantages
Develop skills
- Design LLaMA deployments: create quick single-GPU APIs with simple JSON interfaces.
- Build fine-tuning pipelines: conduct efficient LoRA/QLoRA tests on practical engineering documents.
- Prepare data for LLMs: cleanse, tag, and enhance internal technical materials securely.
- Implement safety and privacy: apply PII protections, access rules, and operational security.
- Evaluate LLMs: establish tests, measures, and CI verifications for dependable model performance.
Suggested summary
Before starting, you can change the chapters and 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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