Information Technologies Trainings
IT Training Taxo Menu
This five-day course will provide students with the key knowledge required to deploy and configure Microsoft Azure Stack.
This two-day course is designed for AWS Sysops administrators interested in learning
how Azure is administered. The workshops main topics are Azure Administration, Azure
Networking, Azure Compute, Azure Storage, and Azure Governance. This workshop
combines lecture with hands-on practical exercises and discussion/review. During the
workshop students will build end-to-end architecture that demonstrates the main
features discussed in the course.
This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.
Exam AZ-203 : Developing Solutions for Microsoft Azure
This course teaches DevOps professionals how to design and implement DevOps practices for version control, compliance, infrastructure as code, configuration management, build, release, and testing by using Azure technologies. This course prepares for the Microsoft exam AZ-400.
In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.
This course will provide foundational level knowledge of cloud services, and how cloud services are provided with Microsoft Azure. The course can be taken as an optional first step in learning about cloud services and Microsoft Azure.
This workshop teaches IT Professionals how to migrate existing on-premises workloads
and assets to the cloud, specifically to the Microsoft Azure platform. Students learn how
to assess and evaluate an existing on-premises environment in preparation for a cloud
migration. Students also learn how to monitor and optimize their Azure-based workloads
to maximize return on investment (ROI), and use Azure services to protect and manage
your virtual machines, applications, and data.
This course teaches the concepts of Azure AI engineering by presenting, and developing,
a scenario that creates a customer support Bot that utilizes various tools and services
in the Azure AI landscape like language understanding, QnA Maker, and various Azure
Cognitive Services to implement language detection, text analytics, and computer vision.
In this course, the students will explore the objectives of data platform modernization
and how it is suitable for given business requirements. They will also explore each
stage of the data platform modernization process and define what tasks are involved
at each stage, such as the assessment and planning phase. Students will also learn the
available migration tools and how they are suitable for each stage of the data migration
process. The student will learn how to migrate to the three target platforms for SQL
based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database
Managed Instances. The student will learn the benefits and limitations of each target
platform and how they can be used to fulfil both business and technical requirements
for modern SQL workloads. The student will explore the changes that may need to be
made to existing SQL based applications, so that they can make best use of modern data
platforms in Azure.