Engineering Advanced Premium
Fine-Tuning Foundation Models
Customize pre-trained AI models for your specific domain, data, and performance requirements.
When prompting alone is not enough, fine-tuning lets you specialize a model for your exact use case. This course covers data preparation, training strategies, evaluation, and deployment of fine-tuned models — including when fine-tuning is the right choice and when other approaches work better.
Lessons (8)
Preparing Training Data
35 min
Fine-Tuning with OpenAI
40 min
Fine-Tuning Open-Source Models
45 min
Evaluation and Iteration
30 min
LoRA and Parameter-Efficient Methods
40 min
Deploying Fine-Tuned Models
45 min
Cost Analysis and Optimization
25 min
