This is the repository for the LinkedIn Learning course Claude Code: Designing Multi-Model AI Systems. The full course is available from LinkedIn Learning.
Use multi-modal AI systems with Claude Code to transform the way you approach AI developments. Dr. Isil Berkun, AI educator and founder of DigiFab.AI, shows you how to implement effective routing, fallback, and guardrail strategies. Explore ways to optimize decision quality, job robustness, and safety through a comprehensive evaluation pipeline that examines latency, cost, and routing outcomes. Build the practical skills you need to create resilient and maintainable AI systems, through hands-on exercises. Perfect for applied ML engineers, AI-focused individual contributors, and technical leaders, this course offers insights on mapping tasks to proper models and efficiently operating AI systems with human-in-the-loop reviews and incident response. By the course's end, you'll have completed a Claude Code project showcasing a scalable, production-ready AI system.
The src/ folder contains the finished code. The prompts/ folder contains the exact Claude Code prompts used in each video.
To follow along: Clear src/ and build with the instructor using the prompts.
To reference: Open src/ and compare with your own code.
- Python 3.10+
- Claude Code installed
- Anthropic API key (console.anthropic.com)
pip install anthropic
export ANTHROPIC_API_KEY="your-key-here"Dr. Isil Berkun
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