AI-102 Designing and Implementing a Microsoft Azure AI Solution
Overview
In this course, you will learn about AI-102 Designing and Implementing an Azure AI Solution which 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.
Audience Profile
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.
Good to know before you attend the class:
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
To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.
Course outline
Module 1: Prepare to develop AI solutions on Azure
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Define artificial intelligence
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Understand AI-related terms
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Understand considerations for AI Engineers
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Understand considerations for responsible AI
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Understand capabilities of Azure Machine Learning
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Understand capabilities of Azure AI Services
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Understand capabilities of the Azure OpenAI Service
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Understand capabilities of Azure Cognitive Search
Module 2: Create and consume Azure AI services
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Provision an Azure AI services resource
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Identify endpoints and keys
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Exercise – Use Azure AI services
Module 3: Secure Azure AI services
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Implement network security
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Exercise – Manage Azure AI Services Security
Module 4: Monitor Azure AI services
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Manage diagnostic logging
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Exercise – Monitor Azure AI services
Module 5: Deploy Azure AI services in containers
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Use Azure AI services containers
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Exercise – Use a container
Module 6: Analyze images
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Provision an Azure AI Vision resource
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Generate a smart-cropped thumbnail and remove background
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Exercise – Analyze images with Azure AI Vision
Module 7: Classify images
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Provision Azure resources for Azure AI Custom Vision
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Understand image classification
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Train an image classifier
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Exercise – Classify images with Azure AI Custom Vision
Module 8: Detect, analyze, and recognize faces
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Identify options for face detection analysis and identification
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Understand considerations for face analysis
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Detect faces with the Azure AI Vision service
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Understand capabilities of the face service
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Compare and match detected faces
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Implement facial recognition
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Exercise – Detect, analyze, and identify faces
Module 9: Read Text in images and documents with the Azure AI Vision Service
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Explore Azure AI Vision options for reading text
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Exercise – Read text in images
Module 10: Analyze video
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Understand Azure Video Indexer capabilities
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Use Video Analyzer widgets and APIs
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Module 11: Analyze text with Azure AI Language
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Provision an Azure AI Language resource
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Module 12: Create question answering solutions with Azure AI Language
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Understand question answering
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Compare question answering to Azure AI Language understanding
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Implement multi-turn conversation
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Test and publish a knowledge base
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Improve question answering performance
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Exercise – Create a question answering solution
Module 13: Build a conversational language understanding model
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Understand prebuilt capabilities of the Azure AI Language service
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Understand resources for building a conversational language understanding model
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Define intents, utterances, and entities
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Use patterns to differentiate similar utterances
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Use pre-built entity components
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Train, test, publish, and review a conversational language understanding model
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Exercise – Build an Azure AI services conversational language understanding model
Module 14: Create a custom text classification solution
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Understand types of classification projects
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Understand how to build text classification projects
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Module 15: Custom named entity recognition
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Understand custom named entity recognition
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Train and evaluate your model
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Exercise – Extract custom entities
Module 16: Translate text with Azure AI Translator service
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Provision an Azure AI Translator resource
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Understand language detection, translation, and transliteration
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Specify translation options
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Define custom translations
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Exercise – Translate text with the Azure AI Translator service
Module 17: Create speech-enabled apps with Azure AI services
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Provision an Azure resource for speech
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Use the Azure AI Speech to Text API
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Use the text to speech API
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Configure audio format and voices
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Use Speech Synthesis Markup Language
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Exercise – Create a speech-enabled app
Module 18: Translate speech with the Azure AI Speech service
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Provision an Azure resource for speech translation
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Exercise – Translate speech
Module 19: Create an Azure AI Search solution
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Understand search components
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Understand the indexing process
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Apply filtering and sorting
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Exercise – Create a search solution
Module 20: Create a custom skill for Azure AI Search
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Add a custom skill to a skillset
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Exercise – Implement a custom skill
Module 21: Create a knowledge store with Azure AI Search
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Exercise – Create a knowledge store
Module 22: Plan an Azure AI Document Intelligence solution
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Understand AI Document Intelligence
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Plan Azure AI Document Intelligence resources
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Module 23: Use prebuilt Document intelligence models
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Understand prebuilt models
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Use the General Document, Read, and Layout models
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Use financial, ID, and tax models
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Exercise – Analyze a document using Azure AI Document Intelligence
Module 24: Extract data from forms with Azure Document intelligence
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What is Azure Document Intelligence?
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Get started with Azure Document Intelligence
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Use Azure Document Intelligence models
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Use the Azure Document Intelligence Studio
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Exercise – Extract data from custom forms
Module 25: Get started with Azure OpenAI Service
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Access Azure OpenAI Service
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Explore types of generative AI models
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Deploy generative AI models
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Use prompts to get completions from models
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Test models in Azure OpenAI Studio’s playgrounds
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Exercise – Get started with Azure OpenAI Service
Module 26: Build natural language solutions with Azure OpenAI Service
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Integrate Azure OpenAI into your app
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Use Azure OpenAI REST API
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Exercise – Integrate Azure OpenAI into your app
Module 27: Apply prompt engineering with Azure OpenAI Service
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Understand prompt engineering
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Write more effective prompts
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Provide context to improve accuracy
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Exercise – Utilize prompt engineering in your application
Module 28: Generate code with Azure OpenAI Service
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Construct code from natural language
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Complete code and assist the development process
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Fix bugs and improve your code
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Exercise – Generate and improve code with Azure OpenAI Service
Module 29: Generate images with Azure OpenAI Service
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Explore DALL-E in Azure OpenAI Studio
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Use the Azure OpenAI REST API to consume DALL-E models
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Exercise – Generate images with a DALL-E model
Module 30: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
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Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
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Chat with your model using your own data
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Exercise – Add your data for RAG with Azure OpenAI Service
Module 31: Fundamentals of Responsible Generative AI
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Plan a responsible generative AI solution
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Operate a responsible generative AI solution
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Exercise – Explore content filters in Azure OpenAI
Related Certifications:
Microsoft Certified: Azure AI Engineer Associate
Learning Paths
Credly & Job Opportunities