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
TT
Aug 21, 2025
Structured content and practical exercises boosted my confidence for the DP-100 exam.
EB
Aug 29, 2025
This DP-100 course provides everything you need—concept clarity, Azure labs, and exam guidance. Its balance of theory and practice ensures strong preparation and real workplace applicability.
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