AIエージェントのデプロイ: CI/CD、バージョニング、およびEvals

Vicente Sánchez CL 認証済み受講者

★ 4 · 23.07.2026

Explica muy bien cómo montar evals antes de mandar un agente a producción, aunque me hubiera gustado más detalle sobre versionado de prompts.

Tuti Alawiyah ID 認証済み受講者

★ 5 · 05.07.2026

Selama ini agen saya cuma jalan di laptop sendiri dan tidak pernah berani saya bawa ke produksi. Setelah ikut kelas ini, saya akhirnya paham cara membangun pipeline CI/CD khusus untuk agen AI. Bagian tentang eval framework benar-benar membuka mata, karena sekarang saya bisa mengukur kualitas tiap versi sebelum deploy. Teknik observability yang diajarkan juga membantu saya melacak masalah saat agen berjalan. Versioning yang rapi membuat saya percaya diri merilis pembaruan tanpa takut merusak yang lama. Ini jembatan yang saya butuhkan dari prototipe ke aplikasi nyata.

Trần Thị Bích VN 認証済み受講者

★ 4 · 26.06.2026

Phần nói về CI/CD cho AI agent thực sự thực tế, không chỉ lý thuyết suông mà có luôn pipeline mẫu để làm theo. Cách khóa học hướng dẫn viết eval để bắt lỗi trước khi đẩy lên production giúp mình tự tin hơn hẳn khi deploy agent thật. Chỉ tiếc là phần versioning hơi ngắn so với mấy phần còn lại.

Necati Aydın TR 認証済み受講者

★ 4 · 23.06.2026

Ajanları yerel denemelerden çıkarıp gerçek üretime taşımanın yolunu nihayet öğrendim. Özellikle eval çerçeveleri ve sürümleme kısmı çok işime yaradı, gözlemlenebilirlik bölümünde birkaç ek örnek olsaydı tam olurdu ama yine de kesinlikle tavsiye ederim.

Dimitar Borisov BG 認証済み受講者

★ 5 · 17.06.2026

Finally a real deployment pipeline explained.

Orly Levy IL 認証済み受講者

★ 5 · 28.05.2026

Getting an agent from a notebook into a real deployment was always the part that scared me, and this course took the fear out of it completely. The CI/CD walkthrough showed me how to automate testing every time I push a change, which I'd never done for an LLM app before. The evals chapter was the real gold though, because now I have actual numbers to compare versions instead of vibes. Setting up observability meant I could finally see what my agent was doing in production. Versioning everything cleanly gave me the confidence to ship updates without holding my breath. Easily the most production-focused agent material I've come across.