ADVANCED
Fine-Tuning & Model Adaptation
When adaptation beats prompting — and how to prove it first: dataset craft, LoRA fine-tuning, DPO preference passes, and distilling frontier quality into a small model at a twentieth of the cost, evaluated without mercy.
LiveAdvanced 5 weeksreading + hands-on labs (Python)
6 modules18 lessons5 problem sets1 capstone
Your progress0%
What you'll learn
- Decide between prompting, RAG, and fine-tuning with evidence
- Build training datasets with audit-grade discipline
- Run supervised fine-tuning with LoRA
- Apply DPO preference passes with bias controls
- Distill frontier quality into small, cheap models
- Ship adapted models with model cards and lifecycles
Curriculum
Every lesson below is a full, written lesson — click any of them to start.
Certification
Complete all modules, pass problem sets, and finish the capstone to earn:
Certified Model Adaptation Engineer
- ✓ Chooses RAG vs. fine-tuning appropriately
- ✓ Prepares data and fine-tunes models
- ✓ Evaluates adapted models
Credential format: EDOVA-FT-2026-XXXX
Edova Academy
Certified Model Adaptation Engineer
Awarded to
Your Name
Credential ID: EDOVA-FT-2026-DEMO
Verified · Sample credential