Designing and Implementing a Microsoft Azure AI Solution

Course Description

The Microsoft Azure AI Solution course equips learners to build, manage, and deploy AI solutions using Azure's cloud-based services. It covers AI fundamentals, computer vision, natural language processing, conversational AI, and decision support solutions. Participants will explore Azure Cognitive Services for Vision, Language, Speech, and decision-making tasks, with hands-on labs to apply skills in real-world scenarios. By course completion, learners can create Cognitive Services resources, manage security, use containers, analyze images and text, build language models, and develop intelligent bots, gaining practical AI development expertise on Azure.

Curriculum for this course

42 Lessons
Introduction to AI and AI on Azure
8 Lessons
  • Introduction to AI
    .
  • Considerations for responsible AI
    .
  • Azure Machine Learning
    .
  • Introduction to azure ai services
    .
  • Azure AI services rest API and sdk
    .
  • Considerations of azure ai services security
    .
  • Monitor azure ai services
    .
  • Deploy azure ai services in containers
    .
Develop computer vision solutions with azure ai vision
7 Lessons
  • Azure AI Vision – Image Analysis
    .
  • Image analysis API and options
    .
  • Azure AI vision OCR
    .
  • Azure AI vision OCR
    .
  • Custom azure ai vision model for classification and object detection
    .
  • Introduction to video indexer for video analysis
    .
  • Exercise: Explore features in Vision Studio
    .
Develop natural language processing solutions
9 Lessons
  • Introduction to azure ai language service for language analysis
    .
  • Text translation using translator service
    .
  • Introduction to question and answering
    .
  • Creating a knowledge base
    .
  • Introduction to the language understanding
    .
  • Custom text classification
    .
  • Introduction to the speech service
    .
  • Introduction to speech synthesis markup language
    .
  • Translating speech to text
    .
Develop generative ai solutions with azure open AI service
9 Lessons
  • Introduction to generative ai
    .
  • Introduction to azure open-ai studio
    .
  • Various types of models in azure OpenAI
    .
  • Various Api's in azure OpenAI
    .
  • Testing models in azure OpenAI studio playground
    .
  • Integrating Azure OpenAI into your app
    .
  • Using the Azure OpenAI REST API: completion, chat completion
    .
  • Prompt engineering in azure OpenAI
    .
  • Implement Retrieval Augmented Generation (RAG) with Azure Open AI Service
    .
Creating the knowledge mining solution
6 Lessons
  • Introduction to the azure ai search
    .
  • Core Components of an AI Search Solution
    .
  • How an Enrichment Pipeline Works
    .
  • Introduction to Custom Skills
    .
  • What is a Knowledge Store?
    .
  • Implementing a Knowledge Store
    .
Develop solutions with Azure AI Document Intelligence
3 Lessons
  • Introduction to Document Intelligence Service
    .
  • Prebuilt models in document intelligence service
    .
  • Custom models in document intelligence service
    .

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Course rating

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Reviews

  • Ruma Sriwastav

    Cover all my needs

    The course identify things we want to change and then figure out the things that need to be done to create the desired outcome. The course helped me in clearly define problems and generate a wider variety of quality solutions. Support more structures analysis of options.

Skills Offered

Emerging Skills Offered by Alchemy for 2024-2025

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