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.
Course dates and course fee may be subjected to changes.
Course Outline
Lesson 1: Prepare to develop AI solutions on Azure
- 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
Lesson 2: Create and consume Cognitive Services
- Provision a cognitive services resource
- Identify endpoints and keys
- Use a REST API
- Use an SDK
- Exercise – Use cognitive services
Lesson 3: Secure Cognitive Services
- Consider authentication
- Implement network security
- Exercise – Manage Cognitive Services Security
Lesson 4: Monitor Cognitive Services
- Monitor cost
- Create alerts
- View metrics
- Manage diagnostic logging
- Exercise – Monitor Cognitive Services
Lesson 5: Deploy cognitive services in containers
- Understand containers
- Use Cognitive Services containers
- Exercise – Use a container
Lesson 6: Extract insights from text with the Language service
- Provision a Language resource
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Exercise – Analyze text
Lesson 7: Translate text with the Translator service
- Provision a Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Exercise – Translate text with the Translator service
Lesson 8: Create speech-enabled apps with the Speech 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
Lesson 9: Translate speech with the speech service
- Provision an Azure resource for speech translation
- Translate speech to text
- Synthesize translations
- Exercise – Translate speech
Lesson 10: Build a Language Understanding model
- 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
Lesson 11: Publish and use a Language Understanding app
- Understand capabilities of the Language service
- Process predictions
- Use a container
- Exercise – Create a Language Understanding app
Lesson 12: Build a question answering solution
- 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
Lesson 13: Create a bot with the Bot Framework SDK
- 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
Lesson 14: Create a Bot with the Bot Framework Composer
- 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
Lesson 15: Analyze images
- Provision a Computer Vision resource
- Analyze an image
- Generate a smart-cropped thumbnail
- Exercise – Analyze images with Computer Vision
Lesson 16: Analyze video
- Understand Video Analyzer for Media capabilities
- Extract custom insights
- Use Video Analyzer widgets and APIs
- Exercise – Analyze video
Lesson 17: Classify images
- Provision Azure resources for custom vision
- Understand image classification
- Train an image classifier
- Exercise – Classify images with custom vision
Lesson 18: Detect objects in images
- Understand object detection
- Train an object detector
- Consider options for labelling images
- Exercise – Detect objects in images with custom vision
Lesson 19: Detect, analyze, and recognize faces
- 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
Lesson 20: Read Text in Images and Documents with the Computer Vision Service
- Explore Computer Vision options for reading text
- Use the Read API
- Exercise – Read text in images
Lesson 21: Extract data from forms with Form Recognizer
- 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
Lesson 22: Create an Azure Cognitive Search solution
- Azure resources
- Search components
- Understand the indexing process
- Search an index
- Apply filtering and sorting
- Enhance the index
- Exercise – Create a search solution
Lesson 23: Create a custom skill for Azure Cognitive Search
- Create a custom skill
- Add a custom skill to a skillset
- Exercise – Implement a custom skill
Lesson 24: Create a knowledge store with Azure Cognitive Search
- Define projections
- Define a knowledge store
- Exercise – Create a knowledge store
