Advanced customization and dependable production systems

Part 13 of AI for Everyone · Articles 123–132

Customize, evaluate, optimize, and operate systems with evidence of useful performance.

Before you begin

Relevant Parts 10–12 skills; model training requires additional mathematical and compute preparation.

Advanced systems; programming and relevant statistical competence.

Lessons

• Article 123: Build Retrieval-Augmented Generation That You Can Evaluate
• Article 124: Design Multimodal Workflows Across Text, Images, Audio, and Video
• Article 125: Run and Evaluate Models Locally
• Article 126: Choose Between Prompting, Retrieval, Fine-Tuning, and Training
• Article 127: Fine-Tune a Small Model and Check Whether It Improved
• Article 128: Understand Advanced Training, Adaptation, and Distillation
• Article 129: Build Evaluations, Red-Team Tests, and Regression Checks
• Article 130: Manage Cost, Latency, Scaling, and Model Changes
• Article 131: Operate AI with Access Controls, Monitoring, and Recovery
• Article 132: Your Final Project: Build an AI System That Earns Its Place

Put it into practice

Work toward this demonstration: A full system evidence packet with evaluation, costs, ownership, and recovery.

Keep the evidence of what you did, what you checked, and what still needs work. Use the exercises and completion checks in the lessons to guide your project.

All learning paths · Full series