AI-3022 : Implement knowledge mining with Azure AI Search

Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them. 

Learning Path1: Create an Azure AI Search solution

Create an Azure AI Search solution

Understand search components

Search and enhance an index

Learning Path 2: Create a custom skill for Azure AI Search

Understand the use of skills and difference between custom vs. built-in

Use input and output schema for your skills

Create your own custom skill

Learning Path 3: Implement advanced search features in Azure AI Search

Push and pull data for your index

Improve search results with ranking and boosting

Enhance an index with analyzers and tokenized terms

Learning Path 4: Search types and retrieval in Azure AI Search

Understand the benefits of different search types

Semantics, vectors, or hybrid search for better results

Describe vector search and embeddings

Learning Path 5: Create a knowledge store with Azure AI Search

Persist data insights for your indexing process

Understand types of projections stored

Implement a knowledge store for your search solution

Learning Path 6: Maintain and debug an Azure AI Search solution

Manage security of a search solution

Improve your search reliability

Debug search issues in your search solution

Familiarity with Microsoft Azure Application development experience with C# or Python 

None