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How Microsoft AI certification training for your employees can be an integral part of your organization’s digital transformation?

  • By Deepika
  • 17-Jan-2022

Data, a company’s most valuable asset, is the foundation for all advanced analytics and machine learning. Progress in data science and AI services have made data accessible to every enterprise, big or small. Microsoft has made AI a significant part of its digital transformation with its Data and Microsoft AI Training courses. These courses help employees unleash the power of AI to formulate a modern data strategy that allows businesses to find, refine and leverage data more effectively than ever.


AI and Machine Learning not only enhance customer experience but also digitally transform company operations. A large number of tech-savvy companies are identifying the benefits of AI and using this technology to efficiently run their businesses, improve productivity and serve their customers better. AI is the most sought-after skill globally, and AI engineers have constantly been ranked among the top on major job sites.

Microsoft offers many AI certifications that range from basic level to advanced applications. Artificial Intelligence applications range from basic automation to more complex, high-level applications. The popular Microsoft AI certification courses revolve around extensive data management and designing specific automation solutions using Microsoft Azure.

Following are the courses offered by Microsoft under Microsoft AI Certification training:

  • Microsoft Azure AI Fundamentals AI-900 Certification Training

This course is a preparatory course for the AI-900 exam. Candidates who earn this certification demonstrate foundational knowledge of machine learning (ML) and artificial intelligence (AI) and other Azure services. This course has six different parts that teach cloud-based concepts and provide an overview of several Azure modules. It also has various exercises to practice the newly learned skill.

After completing this learning path, a candidate will be able to:

  • Understand the benefits of cloud computing in Azure.
  • Explain the concepts of cloud such as high scalability, availability, elasticity, disaster recovery, and agility.
  • Learn to describe core components of Azure architecture such as subscriptions, resources, management groups, and resource groups.


  • DP-100T01: Designing and Implementing a Data Science Solution on Azure Training

This DP-100T01 training course is ideal for professionals and data scientists with a decent understanding of programming languages like python and machine learning techniques such as PyTorch, Tensorflow, and more. The course will prepare candidates on how to create solutions in Microsoft Azure. They will also learn how to manage Azure for machine learning, running experiments and implementing models, etc. The program consists of 5 courses that will ultimately help the candidate take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure Training.

The specialization teaches leverage of knowledge of Python and machine learning to manage data preparation, model training and deployment, and machine learning solution monitoring in Azure.

  • AI-102: Designing and Implementing a Microsoft Azure AI Solution

This is a course for software engineers and developers who want to implement AI solutions in their applications. It is an intermediate-level course that is ideal for programmers who know at least one programming language and the workings of Microsoft Azure. The main teachings of this course will include participating in all phases of AI solutions development – from defining requirements to design and development, deployment, maintenance, and monitoring. It is a preparatory course for the exam AI-102 under Microsoft AI certification.

  • DP-203T00: Data Engineering on Microsoft Azure

This is a preparatory course for candidates wishing to appear for the DP-203 exam. The candidate will learn about data engineering as it includes working with real-time as well as batch analytical solutions using Azure data technologies. They will learn about core computation and storage technologies that are used to build solutions, along with learning how to interactively explore data stored in files. Along with it, candidates of the course will also learn the several ways they can transform data using the same technologies that are used to feed the data.

The course is apt for data professionals, data architects, business intelligence professionals, data analysts, and data scientists who are interested in learning about data engineering and building analytical solutions.

Benefits of completing the AI certification and training courses

As an organization, Microsoft AI certification digitally transforms your organization in the following ways:

  • Facilitated data collection: Just collecting data is not useful. The real advantage comes when this data is optimized to drive the business forward. Microsoft certification will create the right system for gathering the right data and using it fully for intelligence at a higher level.
  • Better resource management: Artificial intelligence can integrate applications, databases, and software into a central platform for business intelligence. From marketing to sales, every department leverages sensitive data. It is important to optimize this data wherever it is generated, and AI and ML help in that.
  • Customer insights: Using structured and unstructured data, your organization can develop a strategy that is even more customer-centric. Designing and implementing solutions will help you develop strategies to provide more relevant and agile content.


  • As an individual, if you choose a Microsoft accredited training provider for your Microsoft AI certification training, you can enjoy the benefits such as:
    • Leverage industry-recognized training delivery across a variety of learning modes.
    • Obtain customized training
    • Get the Microsoft AI certification training course completion certificate
    • Learn in a flexible schedule by choosing from a variety of options.
    • Learn in a real-time environment and acquire hands-on experience in state-of-the-art labs
    • Leverage course material curated by industry experts and SMEs.

Gain knowledge and acquire skills from experienced, qualified, and certified trainers from across the industry.

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