
Implement AI Skills in Azure AI Search (AI-3022)
In today's data-driven world, leveraging AI to enhance search capabilities is a priority for many organizations. The "Implement AI Skills in Azure AI Search" course offers an introduction to optimizing search functionalities using Azure AI, tailored for companies aiming to upskill their workforce. This course is perfect for either an individual employee or a team looking to harness the power of AI in search. You'll start your journey by learning how to create an Azure AI Search solution, focusing on managing capacity and understanding the intricate components of search functionality. This foundation will help you grasp the indexing process, master how to search through indexes effectively, and apply necessary filtering and sorting measures. Additionally, you'll learn to enhance your index to improve your search results.
The course then guides you through creating custom skills for Azure AI Search, where you'll define the custom skill schema and learn to integrate innovative skills such as custom text classification and machine learning-based custom skills. This section ensures your solutions are both flexible and cutting-edge. Creating a knowledge store with Azure AI Search is a key part of the course, allowing you to define projections and establish your own knowledge store. This knowledge will empower your organization to manage and retrieve information effectively. As you advance, you'll explore implementing advanced search features in Azure AI Search. Here, you'll learn techniques to boost document rankings with term boosting, add relevance to search results with scoring profiles, and improve indexes through analyzers and tokenization across multiple languages. This segment will uplift your organization's search capabilities to a new level of precision.
Next, you'll tackle searching data outside of the Azure platform using Azure Data Factory. You'll understand the methods to index data from external sources and employ the Azure AI Search push API to incorporate various data streams seamlessly. The course covers essential aspects like managing security, optimizing performance, and controlling costs. You'll gain insights into improving reliability, monitoring activities, and debugging issues using the Azure portal. For a nuanced search experience, you'll explore semantic ranking, which allows you to rerank search results effectively by implementing semantic ranking setup.
Finally, you'll have the opportunity to perform vector search and retrieval in Azure AI Search. By understanding what vector search is, preparing your search, and comprehending the concept of embedding, you'll add a powerful tool to your organization’s search arsenal. By the end of this course, you or your team will have a developed skill set in Azure AI Search, capable of creating and maintaining powerful, AI-driven search solutions that enhance productivity and data accessibility across your organization.
- Create and manage Azure AI Search solutions effectively.
- Understand and utilize search components for streamlined indexing and searching.
- Shape search processes with filtering and sorting capabilities.
- Develop custom skills and integrate them into Azure AI Search.
- Define and implement a knowledge store to organize your data.
- Enhance search results with advanced features like term boosting and scoring profiles.
- Leverage the capabilities of semantic ranking for refined results.
- Perform vector search and understand embeddings for comprehensive data retrieval.
- Index external data effortlessly using Azure Data Factory and push APIs.
- Manage, secure, and optimize the performance and cost of Azure AI Search solutions.
Public expert-led online training from the convenience of your home, office or anywhere with an internet connection. Guaranteed to run .
Private classes are delivered for groups at your offices or a location of your choice.
- Create an Azure AI Search solution
- Manage capacity
- Understand search components
- Understand the indexing process
- Search an index
- Apply filtering and sorting
- Enhance the index
- Create a custom skill for Azure AI Search
- Define the custom skill schema
- Add a custom skill
- Custom text classification skill
- Machine learning custom skill
- Create a knowledge store with Azure AI Search
- Define projections
- Define a knowledge store
- Implement advanced search features in Azure AI Search
- Improve the ranking of a document with term boosting
- Improve the relevance of results by adding scoring profiles
- Improve an index with analyzers and tokenized terms
- Enhance an index to include multiple languages
- Improve search experience by ordering results by distance from a given reference point
- Search data outside the Azure platform in Azure AI Search using Azure Data Factory
- Index data from external data sources using Azure Data Factory
- Index any data using the Azure AI Search push API
- Maintain an Azure AI Search solution
- Manage security of an Azure AI Search solution
- Optimize performance of an Azure AI Search solution
- Manage costs of an Azure AI Search solution
- Improve reliability of an Azure AI Search solution
- Monitor an Azure AI Search solution
- Debug search issues using the Azure portal
- Perform search reranking with semantic ranking in Azure AI Search
- What is semantic ranking?
- Set up semantic ranking
- Perform vector search and retrieval in Azure AI Search
- What is vector search?
- Prepare your search
- Understand embedding
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Experience in the following is required for this AI class:
Familiarity with Microsoft Azure Application development experience with C# or Python
Live Public Class
$681.10 / student
Live Private Class
- Private Class for your Team
- Live training
- Online or On-location
- Customizable
- Expert Instructors