Deze training is bedoeld voor software engineers die AI-applicaties willen leren bouwen. Microsoft Azure is een platform waar veel AI-oplossingen gebouwd kunnen worden; bijvoorbeeld gezichtsherkenning, chatbots en dat soort zaken.
AI-102 Ontwerpen en Implementeren van een Azure AI Solution is bedoeld voor software engineers die AI-applicaties willen bouwen met gebruik van Azure Cognitive Services, Azure Cognitive Search, en Microsoft Bot Framework. De training gebruikt C# of Python als programmeertaal.
Software engineers die zich bezighouden met bouwen, beheren en deployen van AI oplossingen die gebruik maken van Azure Cognitive Services, Azure Cognitive Search, en Microsoft Bot Framework. Ze zijn bekend met C# of Python en hebben kennis van het gebruik van REST-gebaseerde API’s om computer vision, taalanalyse, kennismining, intelligente search, en converstationele AI oplossingen op Azure.
Voorwaarden voor deelname aan deze training:
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Neem dan contact op met onze klantenservice voor studieadvies of een training op maat.
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| 2023-08-21 | Klassikaal | Startel (Drachten) | 4 bijeenkomsten | € 1,995.00 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2023-08-21 |
Virtueel |
Virtual |
4 bijeenkomsten |
€ 1,995.00 |
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2023-11-07 |
Klassikaal |
Startel (Drachten) |
4 bijeenkomsten |
€ 1,995.00 |
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2023-11-07 |
Virtueel |
Virtual |
4 bijeenkomsten |
€ 1,995.00 |
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2024-01-22 |
Klassikaal |
Startel (Drachten) |
4 bijeenkomsten |
€ 1,995.00 |
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2024-01-22 |
Virtueel |
Virtual |
4 bijeenkomsten |
€ 1,995.00 |
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| 0 bijeenkomsten |
€ 475.00 |
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| Duur | 4 bijeenkomsten | |||||||||||||||
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| Duur | 4 bijeenkomsten | |||||||||||||||
| Prijs | € 1,995.00 | |||||||||||||||
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| Startdatum | 2023-11-07 | |||||||||||||||
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| Locatie | Startel (Drachten) | |||||||||||||||
| Duur | 4 bijeenkomsten | |||||||||||||||
| Prijs | € 1,995.00 | |||||||||||||||
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| Startdatum | 2023-11-07 | |||||||||||||||
| Trainingsvorm | Virtueel | |||||||||||||||
| Locatie | Virtual | |||||||||||||||
| Duur | 4 bijeenkomsten | |||||||||||||||
| Prijs | € 1,995.00 | |||||||||||||||
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| Startdatum | 2024-01-22 | |||||||||||||||
| Trainingsvorm | Klassikaal | |||||||||||||||
| Locatie | Startel (Drachten) | |||||||||||||||
| Duur | 4 bijeenkomsten | |||||||||||||||
| Prijs | € 1,995.00 | |||||||||||||||
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| Startdatum | 2024-01-22 | |||||||||||||||
| Trainingsvorm | Virtueel | |||||||||||||||
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| Duur | 4 bijeenkomsten | |||||||||||||||
| Prijs | € 1,995.00 | |||||||||||||||
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| Trainingsvorm | E-Learning | |||||||||||||||
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Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.
Lessons
After completing this module, students will be able to:
Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.
Lessons
Lab : Get Started with Cognitive Services
Lab : Manage Cognitive Services Security
Lab : Monitor Cognitive Services
Lab : Use a Cognitive Services Container
After completing this module, students will be able to:
Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.
Lessons
Lab : Analyze Text
Lab : Translate Text
After completing this module, students will be able to:
Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.
Lessons
Lab : Recognize and Synthesize Speech
Lab : Translate Speech
After completing this module, students will be able to:
To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.
Lessons
Lab : Create a Language Understanding App
Lab : Create a Language Understanding Client Application
Lab : Use the Speech and Language Understanding Services
After completing this module, students will be able to:
One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.
Lessons
Lab : Create a QnA Solution
After completing this module, students will be able to:
Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.
Lessons
Lab : Create a Bot with the Bot Framework SDK
Lab : Create a Bot with Bot Framework Composer
After completing this module, students will be able to:
Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.
Lessons
Lab : Analyze Images with Computer Vision
Lab : Analyze Video with Video Indexer
After completing this module, students will be able to:
While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.
Lessons
Lab : Classify Images with Custom Vision
Lab : Detect Objects in Images with Custom Vision
After completing this module, students will be able to:
Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.
Lessons
Lab : Detect, Analyze, and Recognize Faces
After completing this module, students will be able to:
Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.
Lessons
Lab : Read Text in Images
Lab : Extract Data from Forms
After completing this module, students will be able to:
Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.
Lessons
Lab : Create an Azure Cognitive Search solution
Lab : Create a Custom Skill for Azure Cognitive Search
Lab : Create a Knowledge Store with Azure Cognitive Search
After completing this module, students will be able to:
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