Overview
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Prerequisites
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.
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.
Course Duration
4 Days
Course Outline
- Understand AI-related terms
- Understand considerations for AI Engineers
- Understand considerations for responsible AI
- Understand capabilities of Azure Machine Learning
- Understand capabilities of Azure Cognitive Services
- Understand capabilities of the Azure Bot Service
- Understand capabilities of Azure Cognitive Search
- Provision a cognitive services resource
- Identify endpoints and keys
- Use a REST API
- Use an SDK
- Exercise – Use cognitive services
- Consider authentication
- Implement network security
- Exercise – Manage Cognitive Services Security
- Monitor cost
- Create alerts
- View metrics
- Manage diagnostic logging
- Exercise – Monitor Cognitive Services
- Understand containers
- Use Cognitive Services containers
- Exercise – Use a container
- Provision a Language resource
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Exercise – Analyze text
- Provision a Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Exercise – Translate text with the Translator service
- Provision an Azure resource for speech
- Use the speech-to-text API
- Use the text-to-speech API
- Configure audio format and voices
- Use Speech Synthesis Markup Language
- Exercise – Create a speech-enabled app
- Provision an Azure resource for speech translation
- Translate speech to text
- Synthesize translations
- Exercise – Translate speech
- Understand resources for building a 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 Language Understanding model
- Exercise – Build a Language Understanding model
- Understand capabilities of the Language service
- Process predictions
- Use a container
- Exercise – Create a Language Understanding app
- Understand question answering
- Compare question answering to language understanding
- Create a knowledge base
- Implement multi-turn conversation
- Test and publish a knowledge base
- Use a knowledge base
- Improve question answering performance
- Create a question answering bot
- Exercise – Create a question answering solution
- Introduce principles of bot design
- Get started with the Bot Framework SDK
- Implement activity handlers and dialogs
- Deploy a bot
- Exercise – Create a bot with the Bot Framework SDK
- Understand ways to build a bot
- Get started with the Bot Framework Composer
- Understand dialogs
- Understand adaptive flow
- Design the user experience
- Exercise – Create a bot with the Bot Framework Composer
- Provision a Computer Vision resource
- Analyze an image
- Generate a smart-cropped thumbnail
- Exercise – Analyze images with Computer Vision
- Understand Video Analyzer for Media capabilities
- Extract custom insights
- Use Video Analyzer widgets and APIs
- Exercise – Analyze video
- Provision Azure resources for custom vision
- Understand image classification
- Train an image classifier
- Exercise – Classify images with custom vision
- Understand object detection
- Train an object detector
- Consider options for labelling images
- Exercise – Detect objects in images with custom vision
- Identify options for face detection analysis and identification
- Understand considerations for face analysis
- Detect faces with the computer vision service
- Understand capabilities of the face service
- Compare and match detected faces
- Implement facial recognition
- Exercise – Detect, analyze, and identify faces
- Explore Computer Vision options for reading text
- Use the Read API
- Exercise – Read text in images
- What is Form Recognizer?
- Get started with Form Recognizer
- Understand prebuilt models
- Train custom models
- Use Form Recognizer models
- Exercise – Extract data from custom forms
- Use the Form Recognizer Studio
- Azure resources
- Search components
- Understand the indexing process
- Search an index
- Apply filtering and sorting
- Enhance the index
- Exercise – Create a search solution
- Create a custom skill
- Add a custom skill to a skillset
- Exercise – Implement a custom skill
- Define projections
- Define a knowledge store
- Exercise – Create a knowledge store
