In this course of data science for designers, you will figure out how to make savvy applications that utilization the intensity of machine learning to engage with clients in past unimaginable ways.
Learning Style
Provider
Difficulty
Course Duration
In this course of data science for designers, you will figure out how to make savvy applications that utilization the intensity of machine learning to engage with clients in past unimaginable ways.
Next-generation applications have carried the intelligence to software, makes able users to interact with ordinary gadgets in new manners.
In this course of data science for designers, you will figure out how to make savvy applications that utilization the intensity of machine learning to engage with clients in past unimaginable ways.
The normal pay for a Software Developer with Machine Learning aptitudes is $87,989 every year.
This course is proposed for
Developers who wish to understand machine learning.
Understanding of the use of GitHub to clone repositories to your local system
Knowledge of Visual Studio
Azure Fundamentals
| Brand | Microsoft |
|---|---|
| Subjects | Cloud Computing |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 24 Hours |
| Language | English |
Paul has over 2 decades of of technical experience as a senior engineer, operations manager & project lead.
He has had hands-on impact within internal IT infrastructure, as well as in hundreds of unique customer environments that resulted in an in-depth knowledge of a wide range of security, identity, cloud, and infrastructure products & features; and a breadth of knowledge in associated network devices and applications.
His specialties include:
Identity, AD, Azure AD, Azure AD Connect, Azure MFA, ADFS, WAP, e-Gap, IAG, UAG, Firewalls, DirectAccess, Load balancers, PKI, Troubleshooting application and network issues, quickly learning new applications/technologies, building and leading tech teams, project management, creating scalable processes.
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