Cloud Architect

The cloud architect is responsible for planning, designing, and implementing a suite of solutions to meet the company’s needs at various levels, particularly in infrastructure and application development. This role is essential in ensuring cloud solutions are well-aligned with organizational needs.

The architect can also deploy cloud solutions in SaaS mode and configure them to integrate well with a hybrid work environment, where workloads are distributed between an on-premises server environment and a public cloud subscription.

The following training programs aim to:

  • Implement a computing environment that matches real business scenarios;
  • Design development solutions following DevOps methodologies or with the PowerPlatform suite;
  • Introduce cloud and hybrid networking and communication;
  • Plan the deployment of common productivity services, such as email and communication.

Implement Real-Time Intelligence with Microsoft Fabric (DP-603T00)

Master the ingestion, transformation, and analysis of real-time streaming data with Microsoft Fabric. This comprehensive training enables you to develop complete expertise in leveraging Microsoft Fabric’s real-time analytics capabilities, including configuring streaming data pipelines, implementing advanced transformations, and creating high-performance analytics solutions to process massive volumes of continuous data. Explore modern streaming data processing techniques and optimize your data architectures for instant insights and real-time decision-making.

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Duration: 1 day / 7 hours
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Implement a data science and machine learning solution for AI in Microsoft Fabric (DP-604T00)

Master the complete data science process and discover how to perform advanced Machine Learning model training to accomplish artificial intelligence in Microsoft Fabric. This comprehensive training enables you to develop complete expertise in leveraging Microsoft Fabric’s data science capabilities, including data exploration and preparation, implementation of sophisticated machine learning algorithms, and creation of high-performance AI solutions to solve complex business problems. Explore modern data science techniques, optimize your ML models, and transform your data into actionable predictive insights for strategic decision-making.

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Duration: 1 day / 7 hours
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