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Word een Microsoft Certified Azure expert

Onze Microsoft gecertificeerde trainers nemen je mee in de Microsoft wereld van AI en ML. Van Azure fundamentals tot AI solutions – met onze 9 trainingen ben je klaar voor elke belangrijk certificatie op je weg naar een gecertificeerd Azure Data Scientist Associate, Azure Data Engineer Associate, Azure AI Engineer Associate of Azure Solutions Architect Expert.

Microsoft Azure Fundamentals: 1 or 2 day training

prepares for Microsoft AZ-900 Certificate : Microsoft Azure Fundamentals

Students for this course gain foundational knowledge of cloud services and how those services are provided with Microsoft Azure.

This course is an opportunity to gain knowledge about cloud concepts, core Azure services, Azure pricing, SLA, and lifecycle, and the fundamentals of cloud security, privacy, compliance, and trust.

This course is intended for people beginning to work with cloud-based solutions and services. Students learn a fundamental knowledge of cloud concepts, as well as Azure services, workloads, security, privacy, pricing, and support. In addition, students get familiar with concepts of networking, storage, compute, application support, and application development.

  • Cloud concepts
  • Core Azure services
  • Security, privacy, compliance, and trust
  • Pricing and support
  • For: Developers, general audience

Microsoft Azure AI Fundamentals : 1 day

prepares for Microsoft AI-900 Certificate : Azure AI Fundamentals

Students for this course gain foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts, both related to Microsoft Azure services.

This course is an opportunity to gain knowledge of common ML and AI workloads and how to implement them on Azure.

  • Introduction to AI
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Conversational AI
  • For AI Engineers, ML Engineers, Data Scientists, general audience

Designing and Implementing an Azure Data Science Solution : 3 days

prepares for Microsoft DP-100 Certificate : Azure Data Scientist Associate

Students gain knowledge of data science and machine learning and how to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.

  • Introduction to Azure Machine Learning
  • “No-code” Machine Learning with Designer
  • Experiments and training models
  • Work with data
  • Compute Contexts
  • Orchestrating Operations with Pipelines
  • Deploying and Consuming Models
  • Training Optimal Models
  • Interpreting Models
  • Monitoring Models
  • For everyone with prerequisites: Programming skills, Azure Fundamentals knowledge

Designing and Implementing a Microsoft Azure AI solution : 4 days

prepares for Microsoft AI-102 Certificate : Azure AI Engineer Associate

Students for this course gain subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.

Students learn how to fulfil the responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.

Students learn how to translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.

  • Introducing Azure Cognitive Services
  • Creating Bots
  • Enhancing Bots with QnA Maker
  • Learn how to Create Language Understanding with LUIS
  • Enhance your Bot with LUIS
  • Integrate Cognitive Service with Bots and Agents
  • For everyone with prerequisites: Programming skills, Azure Fundamentals knowledge

Microsoft Azure Architect Technologies : 5 days

prepares for Microsoft AZ-303 Exam : Microsoft Azure Architect Technologies

Students for this course gain subject matter expertise in designing and implementing solutions on Microsoft Azure. Aspects include concepts like compute, networking, data storage, and security.

Students learn how to fulfil the responsibilities for an Azure Solutions Architect including advising stakeholders, translate business requirements into technical cloud solutions, and designing secure, scalable, and reliable cloud solutions.

Students also learn about networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. In addition, students learn how these aspects can impact the solution. Lastly, students learn how to use their Azure administration skills, as well as Azure development and DevOps processes knowledge.

  • Implementing and monitoring of Azure infrastructure
  • Security and solution management
  • Design and implement solutions for apps
  • Creating and deploying apps on various resources
  • Implement and manage data platforms
  • For everyone with prerequisites: Azure developers, experienced with application development on Azure, seeking to become a solutions architect

Microsoft Azure Architect Design : 4 days

prepares for Microsoft AZ-304 Exam : Microsoft Azure Architect Design

Students for this course gain subject matter expertise in designing and implementing solutions on Microsoft Azure. Aspects include concepts like compute, networking, data storage, and security.

Students learn how to fulfil the responsibilities for an Azure Solutions Architect including advising stakeholders, translate business requirements into technical cloud solutions, and designing secure, scalable, and reliable cloud solutions.

Students also learn about networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. In addition, students learn how these aspects can impact the solution. Lastly, students learn how to use their Azure administration skills, as well as Azure development and DevOps processes knowledge.

  • Implementing and monitoring in Azure
  • Security and identity management
  • Deploying infrastructure in Azure
  • Implement and manage data platforms
  • Design business continuity
  • Design migration, integration, and disaster recovery
  • For everyone with prerequisites: Azure developers, experienced with application development on Azure, seeking to become a solutions architect

Implementing an Azure Data Solution: 3 days

prepares for the Microsoft DP-200 Exam : Azure Data Engineer Associate

In this 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 stream- ing data solutions.

  • Introduction Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Data- base with Azure Cosmos DB
  • Working with Relational Data Stores in the cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms
  • Monitoring and Troubleshooting Data Storage and processing

Designing an Azure Data Solution: 2 days

prepares for Microsoft DP-201 Exam : Azure Data Engineer Associate

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data.

The students will also explore how to design data security including data access, data policies and standards. They will also design Azure data solutions which includes the optimization, availability and disaster recovery of big data, batch processing and streaming data solutions.

  • Architecture Considerations
  • Azure Batch Processing Reference Architectures
  • Azure Real-Time Reference Architectures
  • Security Design Considerations
  • Designing for Scale and Resiliency
  • Design for Efficiency and Operations

Verwante workshop

Solution Architecture Workshop
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Solution Architecture Workshop

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Intro to Data Science
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Intro to Data Science

Van de eerste stappen in Python tot het maken van je eerste deep learning projecten.

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