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Microsoft 365 Fundamentals
This course provides foundational knowledge on the considerations and benefits of adopting cloud services and the Software as a Service (SaaS) cloud model, with a specific focus on Microsoft 365 cloud service offerings.
Microsoft Azure Fundamentals
About This Course This two-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.
Designing and Implementing a Microsoft Azure AI Solution
In the course Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution you will learn: Describe the considerations for developing AI applications Create, configure, deploy, and secure Azure ...
Microsoft Azure SecurityTechnologies
This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities.
MPLS Basic
The course is designed for candidates who need to have theoretical and practical (configuration) knowledge of MPLS networks. After completing the course the participant will be familiar with the functionality of MPLS ...
Multicast Basics
The course is designed for candidates who need to have theoretical and practical knowledge to implement multicast in IP networks. It focuses on obtaining the necessary foundations for multicast, which can then be ...
Multicast Advanced
This course is for technical professionals who have responsibilities designing, configuring, and troubleshooting IP Multicast. Focus is on advanced features for Service Provider networks.
Advanced MPLS
The course is designed for technical specialist with practical experience with MPLS technology and applications of MPLS VPNs, who need to expand his knowledge. The course is focused to advanced L3 MPLS VPN ...
Designing and Implementing aData Science Solution on Azure
The Azure Data Scientist applies their knowledge of data science and machine learning to implementing and running machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service.