Topics
Skill: Plan and Manage an Azure AI Solution
Part 1: Select the Appropriate Azure AI Service
Session 1: Selecting Services for Various AI Solutions
- Choosing the right Azure AI service for computer vision tasks
- Identifying the appropriate service for natural language processing
- Selecting speech solutions for real-time and offline scenarios
- Determining the best service for generative AI applications
- Matching Azure services to document intelligence needs
- Using knowledge mining solutions for complex data scenarios
Part 2: Plan, Create, and Deploy an Azure AI Service
Session 2: Planning for Responsible AI Principles
- Understanding fairness, reliability, and transparency in AI solutions
- Designing solutions that align with Responsible AI principles
Session 3: Creating and Configuring Azure AI Resources
- Steps to create an Azure AI resource
- Configuring a default endpoint for a service
Session 4: Deploying and Integrating AI Services
- Integrating Azure AI services into CI/CD pipelines
- Planning container deployments for scalability and flexibility
Part 3: Manage, Monitor, and Secure an Azure AI Service
Session 5: Diagnostic Logging and Monitoring
- Configuring diagnostic logging for Azure AI resources
- Monitoring resource performance and usage
Session 6: Cost Management and Security
- Managing costs effectively for Azure AI services
- Protecting account keys with Azure Key Vault
- Managing authentication and securing private communications
Skill: Implement Content Moderation Solutions
Part 1: Creating Solutions for Content Delivery
Session 7: Text and Image Moderation
- Implementing text moderation with Azure AI Content Safety
- Creating image moderation solutions to ensure safe content delivery
Skill: Implement Computer Vision Solutions
Part 1: Analyzing Images
Session 8: Visual Feature Selection and Analysis
- Selecting visual features for image processing
- Detecting objects and generating tags for images
Session 9: Extracting Text and Processing Images
- Extracting text using Azure AI Vision
- Converting handwritten text to digital formats
Part 2: Custom Computer Vision Models
Session 10: Training and Publishing Custom Models
- Choosing between image classification and object detection models
- Labeling images and training custom models
- Evaluating metrics and publishing models
- Consuming custom models in applications
Session 11: Video Analysis with Azure AI
- Using Azure AI Video Indexer for insights from video streams
- Detecting presence and movement with Azure AI Vision Spatial Analysis
Skill: Implement Natural Language Processing Solutions
Part 1: Text Analysis with Azure AI Language
Session 12: Key Phrase Extraction and Entity Recognition
- Extracting key phrases and identifying entities in text
Session 13: Sentiment Analysis and Language Detection
- Analyzing sentiment and detecting languages used in text
- Identifying personally identifiable information (PII) in documents
Part 2: Speech Processing with Azure AI Speech
Session 14: Speech Recognition and Synthesis
- Implementing text-to-speech and speech-to-text solutions
- Enhancing text-to-speech with SSML for improved output
Session 15: Custom Speech and Translation Solutions
- Training and deploying custom speech solutions
- Implementing keyword and intent recognition
- Translating text and speech using Azure AI Translator
- Enabling multi-language translation in real-time
Part 3: Language Understanding Models
Session 16: Creating and Managing Language Models
- Creating intents, utterances, and entities
- Training, deploying, and optimizing language understanding models
- Backing up and recovering models for continuity
Session 17: Custom Question Answering
- Building a custom question-answering solution
- Adding alternate phrasing and multi-turn conversations
- Managing multi-language capabilities and exporting knowledge bases
Skill: Implement Knowledge Mining and Document Intelligence Solutions
Part 1: Azure AI Search
Session 18: Creating and Managing Search Solutions
- Provisioning Azure AI Search resources
- Creating data sources, indexes, and skillsets
- Running indexers and managing query operations
Session 19: Knowledge Store Projections
- Configuring file, object, and table projections for knowledge stores
Part 2: Document Intelligence
Session 20: Custom Document Intelligence Solutions
- Using prebuilt models to extract data
- Training and deploying custom document intelligence models
- Creating composed models and integrating with Azure AI Search
Skill: Implement Generative AI Solutions
Part 1: Content Creation with Azure OpenAI Service
Session 21: Using Azure OpenAI Models
- Provisioning and deploying OpenAI resources
- Generating text, code, and images with Azure OpenAI
- Submitting prompts and optimizing generative behavior
Session 22: Fine-Tuning and Prompt Engineering
- Applying prompt engineering techniques for improved results
- Fine-tuning models using custom data
