Finetuning Using Unsloth
Fine-tune your own model, no big infra.
A practical, end-to-end course in fine-tuning AI language models for specific business domains. Learners set up their environment, prepare training data, fine-tune with cost-efficient techniques, and deploy a production-ready custom AI — without expensive infrastructure.
- 5 hours
- 4 modules
- Cohort-based · flexible batches
Pricing is set per cohort and organisation — Talk to us.

Outcomes
What you'll be able to do
Concrete, demonstrable skills — the kind you can show in an interview or put to work on day one.
Set up a complete AI environment for model training and deployment
Prepare domain-specific training datasets with quality best practices
Fine-tune an LLM using LoRA and cost-efficient Unsloth techniques
Export, quantize and deploy a custom model to local and cloud
Evaluate fine-tuned performance and build repeatable deployment workflows
Curriculum
The modules
Sequenced to build on each other. Each module is a first-class unit — the same ones our AI recommender draws on to map a personalised track.
4
modules
5
hours total
Environment Setup and Model Interaction
System requirements, installing Python, GPU drivers and Unsloth, and Hugging Face integration. Learners load a model, understand tokenization and run first interactions with chat templates.
Data Preparation and Fine-Tuning
Training dataset structure and quality, and parameter-efficient fine-tuning with LoRA — training configuration, resource optimization, progress monitoring and checkpoints.
Model Export and Deployment
Saving and merging adapters, exporting to GGUF, quantization to reduce size, publishing to Hugging Face and running locally with LM Studio.
Evaluation and Production Recipes
Side-by-side evaluation of base vs. fine-tuned models, behavioral analysis, and two complete production recipes — a chatbot and an instruction-following assistant.
Questions
Good to know
Still wondering about something? Ask us directly in the enquiry form below.
How technical is this?
Genuinely technical — you'll work in Python with GPU tooling. It's aimed at learners ready to go under the hood of a model.
Enquire
Talk to us — we'll help you choose.
Tell us where you're starting from and what you want to build. We'll walk you through the cohort, the lab, and whether this is the right first step — or point you somewhere better.
- A real reply from our team — never a bot wall.
- Honest guidance on fit, prerequisites and timing.
- Cohort dates and how the hands-on lab time works.
Keep exploring
Programs you might pair this with
Ready to startbuilding?
Enquire about this course, book a demo, or let our AI map your perfect track. The lab is open.


