Fine-Tuning with Hugging Face
Adapt pretrained transformers to enterprise tasks: datasets and tokenizers, Trainer workflows, evaluation harnesses, and the judgment call of fine-tune vs prompt vs RAG. Learners fine-tune a compact model that must beat a zero-shot API baseline on the same test set.
What this course covers.
5 modules, 35 named skill atoms. Expand any module to see them.
1HF Ecosystem7 skill atoms
2Fine-Tuning Workflow7 skill atoms
3The Beat-the-API Duel7 skill atoms
4Task Patterns7 skill atoms
5Ship & Document7 skill atoms
AI-207 in the role journeys.
This course appears in 2 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B4.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other AI courses at this level.
Departmental AI Adoption & Automation Design
Transformers from First Principles
Distributed Training Foundations
Synthetic Data Generation & Evaluation
Vector Databases & Hybrid Search
Document AI & Intelligent Document Processing
Run AI-207 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.