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AI-102: MS Certified: Azure AI Engineer Associate - Coggle Diagram
AI-102: MS Certified: Azure AI Engineer Associate
Get started with Azure AI Services
Create computer vision solutions with Azure AI Vision
Develop natural language processing solutions with Azure AI Services
Implement knowledge mining with Azure AI Search
Create an Azure AI Search solution
Service tiers
Free (F)
Basic (B)
Standard (S, S2, S3 and S3HD)
Storage Optimized (L1 and L2)
Replicas and Partitions
Components
Data source
Skillset
Indexer
Index
Field attributes
Key
Searchable
Filterable
Sortable
Facetable
Retrievable
Indexing process:
readme
Searching
Lucene syntax
Simple
Full
Query processing
Query parsing
Lexical analysis
Document retrieval
Scoring
Enhancing the index
Suggestions
Autocomplete
Custom scoring
Synonyms
Create a custom skill for Azure AI Search
Define custom skill schema
Input schema
Output schema
Add a custom skill
Skill definition
Type = Microsoft.Skills.Custom.WebApiSkill
Specify uri to your web API endpoint
Set the context (where to apply the skill in the document)
Assign input values
Store output values
Custom text classification skill
Considerations
Documents storage (Language Studio and AI Search Indexes)
Custom text classification project
Train and test model
Create search index based on your stored documents
Create function app that uses your deployed trained model
Update search solution (index, indexer and custom skillset)
Machine learning custom skill
Create a knowledge store with Azure AI Search
Defining projections
Shaper skill defines "knowledge_projection"
Defining Knowledge Store
Objects (for .json representation
Table (for relational representation)
File (for image extraction etc.)
Implement advanced search features in Azure AI Search
Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Maintain an Azure AI Search solution
Perform search reranking with semantic ranking in Azure AI Search
Perform vector search and retrieval in Azure AI Search
What is vector search
Prepare a search
(Encode your search query by sending to embedded model)
Check your index has vector fields
Convert a query input into a vector
Understand embedding
Embedding models
Embedding space
When to use?
Develop solutions with Azure AI Document Intelligence
Develop Generative AI solutions with Azure OpenAI Service