AI-102: Develop AI solutions in Azure Duration: 5 Days

Course details

Module 1: - Introduction to AI and AI on Azure
• 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
• Exercise: Get started with azure ai services
• Exercise: Manager azure ai service security
• Exercise: Monitor azure ai services
• Exercise: Use azure ai services container

Module 2: - Develop computer vision solutions with azure ai vision
• Azure AI Vision – Image Analysis
• Image analysis API and options
• Azure AI vision OCR
• Face detection, analysis and recognition
• Custom azure ai vision model for classification and object detection
• introduction to video indexer for video analysis
• Exercise: Explore features in Vision Studio
• Exercise: Analyze Images with Azure AI Vision
• Exercise: Read text in images
• Exercise: Detect and analyze faces
• Exercise: Classify Images with Azure AI Vision custom model
• Exercise: Analyze the video using video indexer

Module 3: - Develop natural language processing solutions
• 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
• Exercise: Analyze text
• Exercise: Translate text
• Exercise: Create a question and answering solution
• Exercise: Create a conversational language understanding app
• Exercise: Recognize and Synthesize Speech

Module 4: - Develop generative ai solutions with azure open AI service
• 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
• Exercise: Provision an Azure OpenAI resource in Azure
• Exercise: Get started with Azure OpenAI Service
• Exercise: Integrate Azure OpenAI into your app
• Exercise: Utilize prompt engineering in your app Exercise: Implement Retrieval Augmented Generation
(RAG) with Azure OpenAI Service

Module 5: - Creating the knowledge mining solution
• 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
• Exercise – Create an Azure Cognitive Search Solution
• Exercise – Create a Custom Skill for Azure AI Search

Module 6: - Develop solutions with Azure AI Document Intelligence
• Introduction to Document Intelligence Service
• Prebuilt models in document intelligence service
• Custom models in document intelligence service
• Exercise – Use prebuilt Document Intelligence models
• Exercise – Extract Data from Form

Module 7: - Develop AI agents on Azure
• Get started with AI agent development on Azure
• Develop an AI agent with Azure AI Agent Service
• Integrate custom tools into your agent
• Develop an AI agent with Semantic Kernel
• Add plugins to Azure AI agent
• Orchestrate a multi-agent solution using Semantic Kernel
• Exercise - Develop a multi-agent solution
• Exercise - Develop an Azure AI agent with the Semantic Kernel SDK
• Exercise - Build an AI agent