Course 11 of 13

Fine-Tuning Open Models

Hugging Face, LoRA/QLoRA, Datasets, and more.

Yiga AI

Advanced en

Advanced · Course · 4 weeks at 5 hrs/week

Duration: 4 weeks
Effort: 5 hrs/week
Lessons: 24
Hands-on exercises: 24
Projects: 1
Language: en

What you’ll learn

Skills you can put to work.

LLMs for Developers

Prompt Engineering for Production

Retrieval-Augmented Generation (RAG)

Building AI Agents

Syllabus

Every module, step by step.

4 modules · 29 lessons · 19 hours · 1 graded project

1160 minutes of guided lesson time.

Module 1 · 7 lessons · 4.3 hoursHugging FaceModule 1 of 4 in Fine-Tuning Open Models.

Overview and set-up
Overview and set-up — Hugging Face in Fine-Tuning Open Models.
Lesson
40 min
Core concepts
Core concepts — Hugging Face in Fine-Tuning Open Models.
Lesson · Locked
40 min
Worked example
Worked example — Hugging Face in Fine-Tuning Open Models.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Hugging Face in Fine-Tuning Open Models.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Hugging Face in Fine-Tuning Open Models.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Hugging Face in Fine-Tuning Open Models.
Lesson · Locked
40 min
Module quiz: Hugging Face
Check what you learned in Hugging Face before moving on.
Quiz · Locked
20 min

Module 2 · 7 lessons · 4.3 hours LockedLoRA/QLoRAModule 2 of 4 in Fine-Tuning Open Models.

Overview and set-up
Overview and set-up — LoRA/QLoRA in Fine-Tuning Open Models.
Lesson · Locked
40 min
Core concepts
Core concepts — LoRA/QLoRA in Fine-Tuning Open Models.
Lesson · Locked
40 min
Worked example
Worked example — LoRA/QLoRA in Fine-Tuning Open Models.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — LoRA/QLoRA in Fine-Tuning Open Models.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — LoRA/QLoRA in Fine-Tuning Open Models.
Lesson · Locked
40 min
Applying it at work
Applying it at work — LoRA/QLoRA in Fine-Tuning Open Models.
Lesson · Locked
40 min
Module quiz: LoRA/QLoRA
Check what you learned in LoRA/QLoRA before moving on.
Quiz · Locked
20 min

Module 3 · 7 lessons · 4.3 hours LockedDatasetsModule 3 of 4 in Fine-Tuning Open Models.

Overview and set-up
Overview and set-up — Datasets in Fine-Tuning Open Models.
Lesson · Locked
40 min
Core concepts
Core concepts — Datasets in Fine-Tuning Open Models.
Lesson · Locked
40 min
Worked example
Worked example — Datasets in Fine-Tuning Open Models.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Datasets in Fine-Tuning Open Models.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Datasets in Fine-Tuning Open Models.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Datasets in Fine-Tuning Open Models.
Lesson · Locked
40 min
Module quiz: Datasets
Check what you learned in Datasets before moving on.
Quiz · Locked
20 min

Module 4 · 8 lessons · 6.3 hours LockedEvaluationModule 4 of 4 in Fine-Tuning Open Models.

Overview and set-up
Overview and set-up — Evaluation in Fine-Tuning Open Models.
Lesson · Locked
40 min
Core concepts
Core concepts — Evaluation in Fine-Tuning Open Models.
Lesson · Locked
40 min
Worked example
Worked example — Evaluation in Fine-Tuning Open Models.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Evaluation in Fine-Tuning Open Models.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Evaluation in Fine-Tuning Open Models.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Evaluation in Fine-Tuning Open Models.
Lesson · Locked
40 min
Module quiz: Evaluation
Check what you learned in Evaluation before moving on.
Quiz · Locked
20 min
Graded project: Fine-Tuning Open Models
Apply everything from Fine-Tuning Open Models in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Fine-Tuning Open Models to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share

Your instructor

Grace A.

AI for professions

Shows working professionals how to use AI responsibly inside everyday workflows.

“The examples felt relevant to public service and worked on the connection I actually have.”
Samuel Mwangi
Public service officer, Nairobi

Continue with

Your next best step.

Following the order of AI Engineer (LLM Applications).

See the full chain

Next lesson

Overview and set-up

Fine-Tuning Open Models

40 min · Resume

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