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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.

Finetuning Using Unsloth — Nebula KnowLab

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

01
Advanced

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.

1.5 hoursAI Engineering
02
Advanced

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.

1.5 hoursAI Engineering
03
Advanced

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.

1 hourAI Engineering
04
Advanced

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.

1 hourAI Engineering

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.

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Ready to startbuilding?

Enquire about this course, book a demo, or let our AI map your perfect track. The lab is open.