This course prepares learners to operationalise machine learning and generative ai solutions using microsoft azure, aligned to the requirements of the ai-300 exam. It focuses on building robust, scalable, and secure ai systems in production environments, combining machine learning operations and generative ai operations into a unified aiops approach.
Learners will gain the practical skills needed to deploy, monitor, govern, and optimise both traditional machine learning models and generative ai applications. The course emphasises real-world operational workflows, enabling organisations to transition from experimentation to enterprise-scale ai delivery with confidence.
Prerequisites
Learners should have:
- experience with python programming
- working knowledge of azure machine learning
- experience deploying and maintaining machine learning models
- familiarity with generative ai development concepts and tools such as microsoft foundry
- understanding of devops practices including source control and ci/cd
- experience with tools such as github actions and command-line interfaces
Tareget audience
This course is designed for professionals responsible for deploying and managing ai systems in production environments, including:
- ai engineers
- machine learning engineers
- data scientists with operational responsibilities
- devops and platform engineers supporting ai workloads
Makine Öğrenmesi ve Üretken Yapay Zekâ Çözümlerini Operasyonelleştirme Eğitimi programına Online Instructor-Led (canlı sanal sınıf) veya Classroom Based (sınıf eğitimi) formatlarında doğrudan katılım sağlayabilirsiniz. Ayrıca bu eğitimi kurumunuza özel olarak Online Instructor-Led, Classroom Based veya Onsite (yerinde eğitim) formatlarında, tercih ettiğiniz tarih ve lokasyonda organize edebiliriz. Detaylı bilgi ve kurumunuza özel planlama için bizimle iletişime geçebilirsiniz.
