Designing and Implementing a Microsoft Azure AI Solution

  • AI-102

Learn new skills and discover the power of Microsoft AI with step-by-step guidance.

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Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI.


The course will use C# or Python as the programming language. Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They should familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.

Course Overview
  • Course : Designing and Implementing an Azure AI Solution
  • Level : Intermediate
  • Type : Instructor led Live online or Classroom
  • Length : 4 days
  • Labs : Included
  • Practice Test : Included
Who should take this course
  • AI engineers and developers working on AI solutions
  • Data scientists and ML engineers
  • Cloud solution architects designing AI powered applications
  • IT professionals
  • Anyone preparing for the Microsoft Certified Azure AI Engineer Associate certification
Prerequisites
  • Basic knowledge of Microsoft Azure services
  • Experience with programming languages like Python or C#
What you'll learn
  • Developing AI Solutions with Azure Cognitive Services
  • Implementing Natural Language Processing
  • Building text analytics, language understanding
  • Creating Conversational AI Solutions Developing chatbots
  • Building Computer Vision Solutions Image classification
  • Facial recognition, and optical character recognition
  • Working with Azure Machine Learning
  • Implementing Responsible AI Practices
  • Security considerations in AI solutions
Training Mode

Instructor-led Virtual online live Training.

  • Weekend Classes
  • Evening Classes
  • Weekdays Classes

Course Outline


Module 1: Get started with Azure AI Services

  • Prepare to develop AI solutions on Azure
  • Create and consume Azure AI services
  • Secure Azure AI services
  • Monitor Azure AI services
  • Deploy Azure AI services in containers
  • Use AI responsibly with Azure AI Content Safety

Module 2: Create computer vision solutions with Azure AI Vision

  • Analyze images
  • Image classification with custom Azure AI Vision models
  • Classify images
  • Detect objects in images
  • Detect, analyze, and recognize faces
  • Read Text in images and documents with the AI
  • Analyze video

Module 3: Develop natural language processing solutions with Azure AI Services

  • Analyze text with Azure AI Language
  • Create question answering solutions with Azure AI Language
  • Build a conversational language understanding model
  • Create a custom text classification solution
  • Custom named entity recognition
  • Translate text with Azure AI Translator service
  • Create speech-enabled apps with Azure AI services
  • Translate speech with the Azure AI Speech service

Module 4: Implement knowledge mining with Azure AI Search

  • Create an Azure AI Search solution
  • Create a custom skill for Azure AI Search
  • Create a knowledge store with Azure AI Search
  • Implement advanced search features in Azure AI Search
  • Search data outside the Azure platform in Azure AI
  • Maintain an Azure AI Search solution
  • Perform search re-ranking with semantic ranking in Azure AI Search
  • Perform vector search and retrieval in Azure AI Search

Module 5: Develop solutions with Azure AI Document Intelligence

  • Fundamentals of Azure AI Document Intelligence
  • Fundamentals of Knowledge Mining and Azure AI Search

Module 5: Develop solutions with Azure AI Document Intelligence

  • Plan an Azure AI Document Intelligence solution
  • Use prebuilt Document intelligence models
  • Extract data from forms with Azure Document intelligence
  • Create a composed Document intelligence model

Module 6: Develop Generative AI solutions with Azure OpenAI Service

  • 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
  • Implement Retrieval Augmented Generation with Azure OpenAI Service

Hands-on Labs

  • Get Started with Cognitive Services
  • Manage Cognitive Services Security
  • Monitor Cognitive Services
  • Use a Cognitive Services Container
  • Analyze Text
  • Translate Text
  • Recognize and Synthesize Speech
  • Translate Speech
  • Create a Language Understanding App
  • Create a Language Understanding Client Application
  • Use the Speech and Language Understanding Services
  • Create a QnA Solution
  • Create a Bot with the Bot Framework SDK
  • Create a Bot with Bot Framework Composer
  • Analyze Images with Computer Vision
  • Analyze Video
  • Classify Images with Custom Vision
  • Detect Objects in Images with Custom Vision
  • Lab : Detect, Analyze, and Recognize Faces
  • Read Text in Images
  • Extract Data from Forms
  • Create an Azure Cognitive Search solution
  • Create a Custom Skill for Azure Cognitive Search
  • Create a Knowledge Store with Azure Cognitive Search

Best Value offer

  • Official Courseware
  • Instructor-led live online / Classroom
  • Flexible Schedule
  • Course Completion Certification


US$ 2650


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Do I need prior Azure experience for the AZ-900 exam?

The AZ-900 is for beginners, so no prior Azure experience is required.

How can I prepare for the AZ-900 exam?

Prepare by attending instructor-led training and practicing in the Azure portal. Please direct your queries to info@infoventure.com

Can I start even if I am new to Cloud computing?

Yes, our expert instructor will help you from scratch, the course is designed in a way that you will get understanding of Azure Cloud.

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