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AI-102 Designing and Implementing an Azure AI Solution

4.6 out of 5 rating

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4 Days

24 CPD hours

About this course

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.


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.


Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics
    Recommended course prerequisites
  • AI-900T00: Microsoft Azure AI Fundamentals course

  • 1 - Prepare to develop AI solutions on Azure
    • Define artificial intelligence
    • Understand AI-related terms
    • Understand considerations for AI Engineers
    • Understand considerations for responsible AI
    • Understand capabilities of Azure Machine Learning
    • Understand capabilities of Azure AI Services
    • Understand capabilities of the Azure Bot Service
    • Understand capabilities of Azure Cognitive Search
    2 - Create and consume Azure AI services
    • Provision an Azure AI services resource
    • Identify endpoints and keys
    • Use a REST API
    • Use an SDK
    3 - Secure Azure AI services
    • Consider authentication
    • Implement network security
    4 - Monitor Azure AI services
    • Monitor cost
    • Create alerts
    • View metrics
    • Manage diagnostic logging
    5 - Deploy Azure AI services in containers
    • Understand containers
    • Use Azure AI services containers
    6 - Analyze images
    • Provision an Azure AI Vision resource
    • Analyze an image
    • Generate a smart-cropped thumbnail
    7 - Classify images
    • Provision Azure resources for Azure AI Custom Vision
    • Understand image classification
    • Train an image classifier
    8 - Detect, analyze, and recognize faces
    • Identify options for face detection analysis and identification
    • Understand considerations for face analysis
    • Detect faces with the Azure AI Vision service
    • Understand capabilities of the face service
    • Compare and match detected faces
    • Implement facial recognition
    9 - Read Text in images and documents with the Azure AI Vision Service
    • Explore Azure AI Vision options for reading text
    • Use the Read API
    10 - Analyze video
    • Understand Azure Video Indexer capabilities
    • Extract custom insights
    • Use Video Analyzer widgets and APIs
    11 - Analyze text with Azure AI Language
    • Provision an Azure AI Language resource
    • Detect language
    • Extract key phrases
    • Analyze sentiment
    • Extract entities
    • Extract linked entities
    12 - Build a question answering solution
    • Understand question answering
    • Compare question answering to Azure AI Language understanding
    • Create a knowledge base
    • Implement multi-turn conversation
    • Test and publish a knowledge base
    • Use a knowledge base
    • Improve question answering performance
    13 - Build a conversational language understanding model
    • Understand prebuilt capabilities of the Azure AI Language service
    • Understand resources for building a conversational language understanding model
    • Define intents, utterances, and entities
    • Use patterns to differentiate similar utterances
    • Use pre-built entity components
    • Train, test, publish, and review a conversational language understanding model
    14 - Create a custom text classification solution
    • Understand types of classification projects
    • Understand how to build text classification projects
    15 - Create a custom named entity extraction solution
    • Understand custom named entity recognition
    • Label your data
    • Train and evaluate your model
    16 - Translate text with Azure AI Translator service
    • Provision an Azure AI Translator resource
    • Specify translation options
    • Define custom translations
    17 - Create speech-enabled apps with Azure AI services
    • Provision an Azure resource for speech
    • Use the Azure AI Speech to Text API
    • Use the text to speech API
    • Configure audio format and voices
    • Use Speech Synthesis Markup Language
    18 - Translate speech with the Azure AI Speech service
    • Provision an Azure resource for speech translation
    • Translate speech to text
    • Synthesize translations
    19 - Create an Azure AI Search solution
    • Manage capacity
    • Understand search components
    • Understand the indexing process
    • Search an index
    • Apply filtering and sorting
    • Enhance the index
    20 - Create a custom skill for Azure AI Search
    • Create a custom skill
    • Add a custom skill to a skillset
    21 - Create a knowledge store with Azure AI Search
    • Define projections
    • Define a knowledge store
    22 - Plan an Azure AI Document Intelligence solution
    • Understand AI Document Intelligence
    • Plan Azure AI Document Intelligence resources
    • Choose a model type
    23 - Use prebuilt Azure AI Document Intelligence models
    • Understand prebuilt models
    • Use the General Document, Read, and Layout models
    • Use financial, ID, and tax models
    24 - Extract data from forms with Azure Document Intelligence
    • What is Azure Document Intelligence
    • Get started with Azure Document Intelligence
    • Train custom models
    • Use Azure Document Intelligence models
    • Use the Azure Document Intelligence Studio
    25 - Get started with Azure OpenAI Service
    • Access Azure OpenAI Service
    • Use Azure OpenAI Studio
    • Explore types of generative AI models
    • Deploy generative AI models
    • Use prompts to get completions from models
    • Test models in Azure OpenAI Studio's playgrounds
    26 - Build natural language solutions with Azure OpenAI Service
    • Integrate Azure OpenAI into your app
    • Use Azure OpenAI REST API
    • Use Azure OpenAI SDK
    27 - Apply prompt engineering with Azure OpenAI Service
    • Understand prompt engineering
    • Write more effective prompts
    • Provide context to improve accuracy
    28 - Generate code with Azure OpenAI Service
    • Construct code from natural language
    • Complete code and assist the development process
    • Fix bugs and improve your code
    29 - Generate images with Azure OpenAI Service
    • What is DALL-E
    • Explore DALL-E in Azure OpenAI Studio
    • Use the Azure OpenAI REST API to consume DALL-E models
    30 - Use your own data with Azure OpenAI Service
    • Understand how to use your own data
    • Add your own data source
    • Chat with your model using your own data
    31 - Fundamentals of Responsible Generative AI
    • Plan a responsible generative AI solution
    • Identify potential harms
    • Measure potential harms
    • Mitigate potential harms
    • Operate a responsible generative AI solution
    Additional course details:

    Nexus Humans AI-102T00 Designing and Implementing a Microsoft Azure AI Solution training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

    This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

    Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

    While we feel this is the best course for the AI-102T00 Designing and Implementing a Microsoft Azure AI Solution course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

    Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

    Training Insurance Included!

    When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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    Global Schedule

    GTR = Guarenteed to Run

    20 Aug 24 Enquire Book
    14:00 - 22:00Live Online GTR2,495
    15 Oct 24 Enquire Book
    14:00 - 22:00Live Online GTR2,495

    17 Dec 24 Enquire Book
    14:00 - 22:00Live Online GTR2,495
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