Chapters
Introduction
Introduction
0:00
Introduction
0:00
Collection
Collection
1:13
Collection
1:13
Agenda
Agenda
1:42
Agenda
1:42
Azure Machine Learning overview
Azure Machine Learning overview
5:26
Demo - AzureML workspace creation
Demo - AzureML workspace creation
10:28
Workspace planning
Workspace planning
18:36
Workspace planning
18:36
Azure Machine Learning registries
Azure Machine Learning registries
36:42
Enterprise Security
Enterprise Security
48:32
Enterprise Security
48:32
Custom Roles
Custom Roles
57:14
Custom Roles
57:14
Recommended Network architecture
Recommended Network architecture
1:04:12
Recommended Network architecture
1:04:12
Disaster Recovery
Disaster Recovery
1:18:49
Disaster Recovery
1:18:49
Policy
Policy
1:22:20
Policy
1:22:20
Monitoring
Monitoring
1:22:29
Monitoring
1:22:29
Summary and conclusion
Summary and conclusion
1:27:30
Summary and conclusion
1:27:30
Sync to video time
Description
- Session documentation: https://aka.ms/learnlive-20230221FT
- Understand the concept of Training modules within AzureML CLI, SDK, and REST API
- Understand ML model lifecycle management leveraging AzureML Python SDK V2 and ML Studio
- LinkedIn:
/ krisbock
- LinkedIn:
/ chaitanya-varma-g
- LinkedIn:
/ keita-onabuta
Transcript
Follow along using the transcript.
Show transcript
Microsoft Developer
589K subscribers
Transcript
NaN / NaN