Course Objectives
To equip participants with the skills and knowledge required to design, implement, and manage AI solutions on Microsoft Azure. Students will develop AI-based solutions for image analysis, text analysis, speech recognition, and generative AI, and will implement secure, scalable AI services in a business context.
What Will You Learn?
- Develop and implement AI solutions using Microsoft Azure AI services
- Use Azure AI for computer vision, natural language processing, and generative AI
- Integrate Azure AI services securely into applications
- Leverage Azure OpenAI for text generation and retrieval-augmented generation
- Design and implement knowledge mining solutions with Azure AI Search
- Create custom models with Azure Document Intelligence
Microsoft AI
Learn how to use Microsoft Azure’s smart tools to create intelligent programs! This course shows you how to use Azure to build AI systems that can think and solve problems. It's an easy way to get started with AI and cloud technology.
Pre-Requisites
- Access to Azure services
- Basic knowledge of AI and machine learning
- Familiarity with programming and web development
Target Audience
- AI Developers
- Azure Cloud Engineers
- Data Scientists
- Machine Learning Engineers
- IT Professionals looking to implement AI solutions
Curriculum
- Introduction to AI
- Considerations for responsible AI
- Azure Machine Learning
- Introduction to Azure AI services
- Azure AI services REST API and SDK
- Security considerations for Azure AI services
- Monitoring Azure AI services
- Deploying Azure AI services in containers
- Exercises: Get started with Azure AI services, Manage Azure AI service security, Monitor Azure AI services, Use Azure AI services container
- 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
- Exercises: Explore features in Vision Studio, Analyze Images with Azure AI Vision, Read text in images, Detect and analyze faces, Classify images with custom models, Analyze videos using Video Indexer
- Introduction to Azure AI Language Service
- Text translation using Translator Service
- Introduction to Question and Answering
- Creating a knowledge base
- Introduction to Language Understanding
- Custom text classification
- Introduction to Speech Service
- Speech Synthesis Markup Language
- Translating speech to text
- Exercises: Analyze text, Translate text, Create a Question and Answering solution, Create a conversational language understanding app, Recognize and Synthesize Speech
- Introduction to Generative AI
- Azure OpenAI Studio overview
- Models and APIs in Azure OpenAI
- Testing models in Azure OpenAI Studio Playground
- Integrating Azure OpenAI into applications
- Using Azure OpenAI REST API: Completion, ChatCompletion
- Prompt engineering with Azure OpenAI
- Implementing Retrieval Augmented Generation (RAG)
- Exercises: Provision an Azure OpenAI resource, Get started with Azure OpenAI Service, Integrate Azure OpenAI into your app, Utilize prompt engineering, Implement RAG with Azure OpenAI Service
- Introduction to Azure AI Search
- Core components of an AI Search solution
- How an enrichment pipeline works
- Introduction to custom skills
- Knowledge Store overview
- Implementing a Knowledge Store
- Exercises: Create an Azure Cognitive Search Solution, Create a custom skill for Azure AI Search
- Introduction to Document Intelligence Service
- Prebuilt models in Document Intelligence Service
- Custom models in Document Intelligence Service
- Exercises: Use prebuilt Document Intelligence models, Extract data from forms