#azure cloud certification

Azure Cloud Certification is one of the most in-demand credentials for IT professionals who want to build a strong career in cloud computing. With businesses rapidly moving towards cloud platforms, having an Azure Cloud Certification proves your expertise in managing, deploying, and securing applications on Microsoft Azure.

This certification is designed for beginners as well as experienced professionals. Whether you are starting your journey in cloud computing or looking to upgrade your skills, Azure Cloud Certification helps you understand key concepts like cloud infrastructure, virtual machines, networking, storage, and security. The learning process is simple and practical, making it easy for anyone to follow along.

One of the biggest advantages of Azure Cloud Certification is its industry recognition. Companies across the globe trust Microsoft Azure, and certified professionals are highly valued in the job market. This certification not only boosts your confidence but also opens doors to better job opportunities, higher salaries, and career growth.

The training for Azure Cloud Certification usually includes real-world projects, hands-on labs, and expert guidance. This ensures that you don’t just learn theory but also gain practical experience. By the end of the course, you will be capable of working on real cloud environments with confidence.

In today’s digital world, cloud skills are no longer optional—they are essential. Getting an Azure Cloud Certification is a smart investment in your future. It helps you stay ahead in the competitive IT industry and prepares you for modern technology roles.

Automating Jobs with GitHub Actions

In the realm of modern technology, cloud computing has revolutionized business operations, with Microsoft Azure leading the charge. Azure Cloud certification is your ticket to mastering this dynamic landscape and propelling your career to new heights.

These certifications validate your expertise in designing, implementing, and managing cloud solutions within the Azure platform. Whether you're an aspiring cloud architect, developer, or administrator, Azure Cloud certifications provide a structured path to enhance your skills and credibility.

By becoming Azure Cloud certified, you showcase your ability to optimize resources, improve security, and drive innovation in a cloud-first world. Employers value certified professionals who can address complex challenges and lead digital transformation initiatives.

Microsoft Azure Training | Azure Cloud Certification | GKT

As an authorized Learning Partner of Microsoft, Global Knowledge Technologies offers Azure Training, taught by Microsoft Certified Trainers (MCT), with authentic course material and lab sessions.

Learning is definitely not a one-time process. Hence our Microsoft Azure Training comes with special features that help individuals, IT professionals and organisations cease industry demanding skill gaps and ensure easy software operations.

Implementing an Azure Data Solution - DP-200T01-A

Course Description

In this Azure Data Science Course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.

Objectives

After completing Implementing an Azure Data Solution course, students will be able to:

Audience

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.

The secondary audience for this Azure Data Science Course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.

Prerequisites

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:

Azure fundamentals

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Operationalize Cloud Analytics Solutions with Microsoft Azure — 552242A

Course Description

552242A is a two-day instructor-led course intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Students will learn how to operationalize end-to-end cloud analytics solutions using Azure Portal and Azure PowerShell. It can be used on its own or with 552241A, Microsoft Azure Big Data Analytics, to prepare for exam 70–475.

Objectives

After completing this course, students will be able to:

Create a Data Factory

Orchestrate data processing activities in a data-driven workflow

Monitor and Manage a Data Factory

Move, Transform or Analyze data

Design a deployment strategy for end-to-end solutions with Azure Portal or PowerShell

Audience

This course is intended for experienced data professionals who design big data analytics solutions on Microsoft Azure.

Prerequisites

Before attending this course, students must have:

Experience processing and querying bulk data

Experience analyzing real-time and historical data

Experience using SQL and data analysis / visualization tools (e.g. Power BI)

Experience using PowerShell (Note: A basic PowerShell tutorial is included in the course in 552242A.)

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Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019–40565G

Course Description

In this Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019 course, you will gain a better understanding of how new features of SQL Server 2019 enables more Big Data and analytics capabilities through the use of Big Data Clusters, data virtualization and orchestration, query processing enhancements, and through better scalability through distributed storage and compute.

Objectives

At the end of this workshop, you will be better able:

Design a modernization plan for performing Big Data analytics using SQL Server 2019 capabilities

Build solutions for conducting advanced data analytics with scalable SQLServer2019 Big Data clusters

Audience

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

Prerequisites

There are no prerequisites for this course.

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