Menjadi anggota sejak 2024
Model Armor: Mengamankan Deployment AI
Earned Mar 15, 2026 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Jul 9, 2024 EDT
[Depricated] Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Jul 4, 2024 EDT
Pengantar AI dan Machine Learning di Google Cloud
Earned Jul 1, 2024 EDT
Kursus ini meninjau fitur keamanan penting Model Armor dan membekali Anda untuk bekerja menggunakan layanan ini. Anda akan mempelajari risiko keamanan yang terkait dengan LLM dan cara Model Armor melindungi aplikasi AI Anda.
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
Kursus ini memperkenalkan kemampuan AI dan machine learning (ML) Google Cloud, dengan fokus pada pengembangan project AI generatif dan prediktif. Kursus ini akan membahas berbagai teknologi, produk, dan alat yang tersedia di seluruh siklus proses data ke AI, yang memberdayakan data scientist, developer AI, dan engineer ML untuk meningkatkan keahlian mereka melalui latihan interaktif.