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  • Description
  • Content
  • Intendent To
  • Certificates

AI-102 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.

LEARNING PATH 1
Get started with Azure AI Services

 

  • Module 1: Prepare to develop AI solutions on Azure
  • Module 2: Create and consume Azure AI services
  • Module 3: Secure Azure AI services
  • Module 4: Monitor Azure AI services
  • Module 5: Deploy Azure AI services in containers

 

LEARNING PATH 2
Develop decision support solutions with Azure AI Services

 

  • Module 1: Classify and moderate text with Azure Content Moderator

 

LEARNING PATH 3
Create computer vision solutions with Azure AI Vision

 

  • Module 1: Analyze images
  • Module 2: Image classification with custom Azure AI Vision models
  • Module 3: Detect, analyze, and recognize faces
  • Module 4: Read Text in images and documents with the Azure AI Vision Service
  • Module 5: Analyze video

 

LEARNING PATH 4
Develop natural language processing solutions with Azure AI Services

 

  • Module 1: Analyze text with Azure AI Language
  • Module 2: Build a question answering solution
  • Module 3: Build a conversational language understanding model
  • Module 4: Create a custom text classification solution
  • Module 5: Custom named entity recognition
  • Module 6: Translate text with Azure AI Translator service
  • Module 7: Create speech-enabled apps with Azure AI services
  • Module 8: Translate speech with the Azure AI Speech service

 

LEARNING PATH 5
Implement knowledge mining with Azure AI Search

 

  • Module 1: Create an Azure AI Search solution
  • Module 2: Create a custom skill for Azure AI Search
  • Module 3: Create a knowledge store with Azure AI Search
  • Module 4: Enrich your data with Azure AI Language
  • Module 5: Implement advanced search features in Azure AI Search
  • Module 6: Build an Azure Machine Learning custom skill for Azure AI Search
  • Module 7: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
  • Module 8: Maintain an Azure AI Search solution
  • Module 9: Perform search re-ranking with semantic ranking in Azure AI Search
  • Module 10: Perform vector search and retrieval in Azure AI Search

 

LEARNING PATH 6
Develop solutions with Azure AI Document Intelligence

 

  • Module 1: Plan an Azure AI Document Intelligence solution
  • Module 2: Use prebuilt Form Recognizer models
  • Module 3: Extract data from forms with Azure Document Intelligence
  • Module 4: Create a composed Form Recognizer model
  • Module 5: Build a Document Intelligence custom skill for Azure AI Search

 

LEARNING PATH 7
Develop Generative AI solutions with Azure OpenAI Service

 

  • Module 1: Get started with Azure OpenAI Service
  • Module 2: Build natural language solutions with Azure OpenAI Service
  • Module 3: Apply prompt engineering with Azure OpenAI Service
  • Module 4: Generate code with Azure OpenAI Service
  • Module 5: Generate images with Azure OpenAI Service
  • Module 6: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Module 7: Fundamentals of Responsible Generative AI

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are 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.

Microsoft Certified: Azure AI Engineer Associate after successful completition of the Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Description

AI-102 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.

Content

LEARNING PATH 1
Get started with Azure AI Services

 

  • Module 1: Prepare to develop AI solutions on Azure
  • Module 2: Create and consume Azure AI services
  • Module 3: Secure Azure AI services
  • Module 4: Monitor Azure AI services
  • Module 5: Deploy Azure AI services in containers

 

LEARNING PATH 2
Develop decision support solutions with Azure AI Services

 

  • Module 1: Classify and moderate text with Azure Content Moderator

 

LEARNING PATH 3
Create computer vision solutions with Azure AI Vision

 

  • Module 1: Analyze images
  • Module 2: Image classification with custom Azure AI Vision models
  • Module 3: Detect, analyze, and recognize faces
  • Module 4: Read Text in images and documents with the Azure AI Vision Service
  • Module 5: Analyze video

 

LEARNING PATH 4
Develop natural language processing solutions with Azure AI Services

 

  • Module 1: Analyze text with Azure AI Language
  • Module 2: Build a question answering solution
  • Module 3: Build a conversational language understanding model
  • Module 4: Create a custom text classification solution
  • Module 5: Custom named entity recognition
  • Module 6: Translate text with Azure AI Translator service
  • Module 7: Create speech-enabled apps with Azure AI services
  • Module 8: Translate speech with the Azure AI Speech service

 

LEARNING PATH 5
Implement knowledge mining with Azure AI Search

 

  • Module 1: Create an Azure AI Search solution
  • Module 2: Create a custom skill for Azure AI Search
  • Module 3: Create a knowledge store with Azure AI Search
  • Module 4: Enrich your data with Azure AI Language
  • Module 5: Implement advanced search features in Azure AI Search
  • Module 6: Build an Azure Machine Learning custom skill for Azure AI Search
  • Module 7: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
  • Module 8: Maintain an Azure AI Search solution
  • Module 9: Perform search re-ranking with semantic ranking in Azure AI Search
  • Module 10: Perform vector search and retrieval in Azure AI Search

 

LEARNING PATH 6
Develop solutions with Azure AI Document Intelligence

 

  • Module 1: Plan an Azure AI Document Intelligence solution
  • Module 2: Use prebuilt Form Recognizer models
  • Module 3: Extract data from forms with Azure Document Intelligence
  • Module 4: Create a composed Form Recognizer model
  • Module 5: Build a Document Intelligence custom skill for Azure AI Search

 

LEARNING PATH 7
Develop Generative AI solutions with Azure OpenAI Service

 

  • Module 1: Get started with Azure OpenAI Service
  • Module 2: Build natural language solutions with Azure OpenAI Service
  • Module 3: Apply prompt engineering with Azure OpenAI Service
  • Module 4: Generate code with Azure OpenAI Service
  • Module 5: Generate images with Azure OpenAI Service
  • Module 6: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Module 7: Fundamentals of Responsible Generative AI
Intendent To

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are 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.

Certificates

Microsoft Certified: Azure AI Engineer Associate after successful completition of the Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Past experiences

What people say about us

  • - Marko Krstevski Microsoft .NET Academy

    Seeking to expand my knowledge, I decided to enroll in Semos Education, where I am gaining the necessary knowledge and experience.

  • - Teodor Markovski Student

    The desire to become a Cloud architect led me to Semos Education. I am thrilled by the positive experiences of former students and the way in which the instructors and Career Center take care of the students.

  • - Aleksandar Maksimov Student CertNexus Artificial Intelligence Academy

    Because Artificial Intelligence is the challenge of the future. With the modernization of lifestyles and technological advancements on a global scale, artificial intelligence is increasingly playing a key role in all aspects of life and development in society.

  • - Kristijan Stojoski Artificial Intelligence Academy

    With taking the first step and investing enough effort, everyone can master this modern topic and stand out in the job market in one of the fastest-growing industries in the world.

  • - Viktor Vanchov Artificial Intelligence Academy

    The final project taught me many useful things, beyond the realm of video games. However, it greatly helped me get an idea of how machines 'learn' and how powerful they can be.

Meet the instructors

  • Martin Dimovski Senior DevOps/DevSecOps Engineer  @ ABN AMRO  15 + years of experience