Show training

Designing and Implementing a Microsoft Azure AI Solution

training code: AI-102 / ENG DL 4d / EN
For more information, please contact the sales department. For more information, please contact the sales department.
4,700.00 PLN 5,781.00 PLN with TAX

The training is intended for programmers who would like to develop applications using Artificial Intelligence, Azure services, namely Azure Cognitive Services, Azure Cognitive Search, Microsoft Bot Framework.

The training is also aimed at software engineers who deal with building, managing and implementing Artificial Intelligence solutions which make use of Azure service within the AI area

Knowledge and practical skills related to the use of Artificial Intelligence services from Azure platform in developed applications

Moreover, participants will be able to apply the knowledge to create Artificial Intelligence solutions which use mechanisms of computer vision, language analysis, knowlede exploration, smart search and conversational solutions based on Bots on Azure platform.

 

Egzamin w formie on-line. Zapis na stronie https://home.pearsonvue.com/Clients/Microsoft.aspx

 

 

Knowledge Azure platform and an ability to navigate through Azure portal

Knowledge of C# or Python language.

An ability to use REST API and JSON

An ability to use English language materials.

To increase the comfort of work and training’s effectiveness we suggest using an additional monitor. The lack of additional monitor does not exclude participation in the training, however, it significantly influences the comfort of work during classes.

  • Training: English
  • Materials: English

 

  1. Introduction to Artificial Intelligence on Azure platform

    • Introduction to Artificial Intelligence

    • Artificial Intelligence on Azure platform

  2. Developing AI applications with cognitive services

    • Introduction to Cognitive Services

    • Using Cognitive Services in business applications

    • Security Management

    • Monitoring cognitive services

  3. Introduction to natural language processing

    • Text analysis

    • Text translation

  4. Developing speech-enabled applications

    • Speech detection and synthesis

    • Translating the statement

  5. Creating language comprehensive solutions

    • Developing language comprehensive applications

    • Publishing and using applications

    • Using speech comprehensive applications with synthesizer

  6. Architectin QnA solutions

    • Creating QnA knowledge base

    • Publishing and using QnA knowledge base

  7. Conversational AI and Azure Bot services

    • Bot foundations

    • Implementing conversational bot

  8. Computer Vision service foundations

    • Image analysis

    • Movie analysis

  9. Creating non-standard vision solutions

    • Image classification

    • Object detection

  10. Face detection, analysis and recognition

    • Face detection using Computer Vision service

    • The use of Face Service

  11. Reading texts on images and documents

    • Reading texts with the use of Computer Vision service

    • Extracting information from questionnaires with the use of Form Recognizer service

  12. Creating solutions of how to gain knowledge

    • Implementing intelligent search solutions

    • Developing non-standard skills of gaining knowledge

    • Creating knowledge storage