课程概述
This comprehensive course enables learners to design, implement, and deploy end-to-end machine learning solutions using Microsoft Azure Machine Learning. Through hands-on guidance, learners will configure development environments, build interactive experiments using Azure ML Designer, develop automation workflows via the SDK, and deploy models for real-time and batch inference using production-ready compute targets.
The course is structured into four skill-building modules that introduce foundational cloud ML concepts, construct pipelines and SDK-based experiments, apply automation tools such as AutoML and HyperDrive, and publish trained models to production environments. Each module reinforces concepts through scenario-driven lessons that use Bloom’s Taxonomy to identify, configure, implement, analyze, and evaluate Azure ML workflows.
By the end of this course, learners will be equipped to transition from experimentation to scalable deployment with full lifecycle awareness in Azure Machine Learning.
热门审阅
YB
Sep 6, 2025
Fantastic learning resource! The DP-100 course covers Azure Data Science essentials in detail, combining theory with practical labs, ensuring complete exam preparation and skill development.
SM
Jul 27, 2025
Overall great class and good materials as well as the instructors were excellent. I learned a lot.
筛选依据:
26 - DP-100 Microsoft Azure DS Exam 的 29 个评论(共 29 个)
创建者 Isabell c
•Aug 22, 2025
Good course
创建者 NUTAN M
•Aug 21, 2025
Good course
创建者 Reta c
•Aug 14, 2025
Good course
创建者 Ritika C
•Aug 13, 2025
Good course