Certificate of Completion

What You Learned

• Evaluate when to fine-tune vs. use RAG vs. prompt engineering for a given task
• Explain how SFT, DPO, LoRA, and QLoRA work and when each method applies
• Build a training dataset from scratch using synthetic generation and quality filtering
• Execute a complete QLoRA fine-tuning run on a free Google Colab GPU
• Assess model quality using held-out test sets, automated metrics, and LLM-as-judge
• Design a production deployment strategy including adapter merging, cost analysis, and monitoring