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4 dages kursus 
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Designing and Implementing a Microsoft Azure AI Solution [AI-102T00]

22. - 25. april 2024 Aarhus
30. maj til 13. juni 2024 Taastrup
16. - 19. september 2024 Aarhus
24. oktober til 8. november 2024 Taastrup
DKK  17.999
ekskl. moms
Nr. 91380 A

Du får de nødvendige færdigheder til at designe og implementere AI-løsninger i Azure. På kurset får du erfaring med Azure Cognitive Services, Azure Cognitive Search og Microsoft Bot Framework. På kurset vil der blive brugt C# eller Python som programmeringssprog.

Deltagerprofil

Kurset er til softwareudviklere inden for C# eller Python, som skal udvikle, administrere og udrulle AI løsninger ved hjælp af Azure Cognitive Services, Azure Cognitive Search og Microsoft Bot Framework.

Forudsætninger

Du forventes at have erfaring med Azure og Azure Portal samt programmering i C# eller Python. Du har desuden kendskab til JSON og REST-baserede API’er. Er du ny inden for Azure AI vil det være en fordel, at du har deltaget på Azure AI Fundamentals

 

Udbytte

  • Få grundlæggende forståelse for AI-koncepter, teknikker og anvendelse
  • Lær at designe og implementere AI-baserede applikationer i Azure
  • Få forståelse for Azure AI-platformen til at udvikle skalerbare og effektive AI løsninger
  • Lær at implementere NLP (natural language processing) løsninger
  • Lær at implementere conversational AI løsninger

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Indhold

Modul 1 Prepare for AI engineering
AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities. As an aspiring Azure AI Engineer, it's important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.

-Prepare to develop AI solutions on Azure
Modul 2 Provision and manage Azure Cognitive Services
Azure Cognitive Services are building blocks of AI functionality that you can integrate into your applications. In this learning path, you'll learn how to provision, secure. monitor, and deploy cognitive services resources and use them to build intelligent solutions.

-Create and consume Cognitive Services
-Secure Cognitive Services
-Monitor Cognitive Services
-Deploy cognitive services in containers
Modul 3 Process and translate text with Azure Cognitive Services
A large volume of the data that applications need to process is in text format. Using Azure Cognitive Services, you can create apps that extract semantic meaning from text and translate it between languages.

-Extract insights from text with the Language service
-Translate text with the Translator service
Modul 4 Process and Translate Speech with Azure Cognitive Speech Services
Learn how to develop speech-enabled applications by using the Speech service.

-Create speech-enabled apps with the Speech service
-Translate speech with the speech service
Modul 5 Create a Language Understanding solution with Azure Cognitive Services
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

- Build a Language Understanding model
- Publish and use a Language Understanding app
Modul 6 Build a question answering solution
A common pattern for intelligent apps is to enable users to ask questions using natural language, and receive appropriate answers. This kind of solution brings conversational intelligence to a traditional frequently asked questions (FAQ) publication.

-Build a question answering solution
Modul 7 Build custom text analytics solutions
Build solutions with newer text analytics services such as custom text classification and custom name entity recognition. These services allow for customizing the built-in features available in the Language service for exactly what your application needs.

-Create custom text classification solutions
-Custom named entity recognition
Modul 8 Create conversational AI solutions
Conversational AI solutions are based on interactions between human users and AI agents called bots. In this learning path, you'll learn how to build bots that can be delivered on Microsoft Azure.

-Create a bot with the Bot Framework SDK
-Create a Bot with the Bot Framework Composer
Modul 9 Create computer vision solutions with Azure Cognitive Services
Computer vision is an area of artificial intelligence that deals with visual perception. Azure Cognitive Services include multiple services that support common computer vision scenarios.

-Analyze images
-Analyze Video
-Classify images
-Detect objects in images
-Detect, analyze, and recogniza faces
Modul 10 Extract text from images and documents
Learn how to implement text extraction solutions with images and documents using form recognizer service's OCR Test Tool, pre-built models, and custom models.

-Read Text in Images and Documents with the Computer Vision Service
-Extract data from forms with Form Recognizer
Modul 11 Implement knowledge mining with Azure Cognitive Search
Do you have information locked up in structured and unstructured data sources? Using Azure Cognitive Search, you can extract key insights from this data, and enable applications to search and analyze them.

-Create an Azure Cognitive Search solution
--Create a custom skill for Azure Cognitive Search
-Create a knowledge store with Azure Cognitive Search
-Enrich a search index using Language Studio
-Implement advanced search features in Azure Cognitive Search
-Build an Azure Machine Learning custom skill for Azure Cognitive Search
-Search data outside the Azure platform in Azure Cognitive Search using Azure Data Factory
-Maintain an Azure Cognitive Search solution
Modul 12 Develop Generative AI solutions with Azure OpenAI Service
Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.

-Get started with Azure OpenAI Service
-Build natural language solutions with Azure OpenAI Service
-Apply prompt engineering with Azure OpenAI Service
-Generate code with Azure OpenAI Service
-Generate images with Azure OpenAI Service
 

Certificering

Kurset leder hen mod eksamen AI-102 Designing and Implementing a Microsoft Azure AI Solution. Ved beståelse opnår du certificeringen Microsoft Certified: Azure AI Engineer Associate.

Du skal bestille og betale din eksamen særskilt.

Microsoft skriver om denne eksamen:

  • This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure AI solution; implement image and video processing solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.
  • Microsoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure Cognitive Services and Azure services. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
  • These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.
  • Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.

Læs mere om IT-certificering her.

 
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Morten La Cour Thomsen

4.52/5 (77 evalueringer) 
Baseret på alle evalueringer af underviseren fra de seneste 5 år.

Morten er en erfaren instruktør indenfor Microsoft BizTalk Server og Azure. Han har i 20 år arbejdet med C#, BizTalk Server, SQL Server, Front end programmering, XML og JSON. Han er derudover forfatter til 2 BizTalk Server bøger og har været Microsoft Azure MVP i 2 år.

Vælg dato

Aarhus
22. - 25. april 2024
Taastrup
30. maj til 13. juni 2024
Aarhus
16. - 19. september 2024
Taastrup
24. oktober til 8. november 2024