Fine-tuning for Enterprise AI
Learn enterprise fine-tuning by building a complete pipeline — curate training data, prepare JSONL datasets, execute fine-tuning jobs, evaluate with automated metrics, and deploy with A/B testing.
Modules
6
Verified
0
In Progress
0
What you walk away with
- ✓A shareable portfolio URL with your project walkthrough
- ✓Module-by-module timeline of everything you built
- ✓All the code — pipelines, guardrails, deployment configs
- ✓Production patterns documented on your profile
Fine-tuning takes a foundation model and specializes it on your domain data. In this capstone, you'll build a complete fine-tuning pipeline for a Sales Companion use case — the same data you worked with in the RAG course. You'll curate training pairs from CRM data and call transcripts, format them for the fine-tuning API, understand hyperparameters, build an automated evaluation harness with hallucination detection, create an A/B testing interface, and design a production data flywheel. Every module produces working code and teaches a production pattern.