1-Day Instructor-Led Training
Hands-On Training
Microsoft Official Content
After-Course Instructor-Coaching
#8730
Implement Knowledge Mining with Azure AI Search (AI-3022)
Course 8730
- Duration: 1 day
- Language: English
- Level: Intermediate
Unlock insights from structured and unstructured data with Azure AI Search. Learn to extract, analyze, and search your data more effectively by integrating advanced AI capabilities into your applications.
Azure AI Search Knowledge Mining Delivery Methods
In-Person
Online
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Azure AI Search Knowledge Mining Training Information
In this course, you will:
- Build an Azure AI Search solution to uncover hidden data insights.
- Implement custom AI skills for enhanced data enrichment.
- Use knowledge stores to persist enriched data for downstream processes.
- Enable advanced search features like semantic and vector search.
- Maintain, optimize, and secure Azure AI Search solutions.
Prerequisites
- Familiarity with Microsoft Azure.
- Experience in application development using C# or Python.
Azure AI Search Knowledge Mining Training Outline
1. Create an Azure AI Search Solution
- Manage capacity and understand search components.
- Create and optimize indexes for better data filtering and sorting.
- Hands-On: Build and test a search solution.
2. Create a Custom Skill for Azure AI Search
- Add custom AI capabilities like text classification and machine learning skills.
- Hands-On: Develop a custom skill for enriched data analysis.
3. Create a Knowledge Store with Azure AI Search
- Learn to persist output from AI enrichment pipelines.
- Hands-On: Set up a knowledge store for long-term data management.
4. Implement Advanced Search Features
- Enhance indexes with analyzers, tokenized terms, and multilingual support.
- Apply term boosting and scoring profiles to improve relevance.
- Hands-On: Refine search results with advanced techniques.
5. Search Data Outside Azure with Azure Data Factory
- Index external data using Azure Data Factory and the push API.
- Hands-On: Add external data to your search indexes.
6. Maintain an Azure AI Search Solution
- Optimize performance, manage costs, and enhance reliability.
- Debug issues and monitor solutions effectively.
- Hands-On: Debug search issues in Azure Portal.
7. Perform Search Reranking with Semantic Ranking
- Explore L2 semantic ranking and its applications.
- Hands-On: Use semantic ranking to refine index results.
8. Perform Vector Search and Retrieval
- Understand vector embeddings and implement vector-based retrieval.
- Hands-On: Use REST APIs for advanced vector searches.
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Azure AI Search Knowledge Mining FAQs
No. Applied Skills credentials are not replacing Certifications. We are expanding our credentialing portfolio to better meet the needs of our learners and customers by allowing people to validate very specific skill sets with this new offering.
Certifications are role-based and evaluate a broader range of skills needed to be successful in critical roles that organizations need to be successful in today’s rapidly changing technical environment.
Applied Skills credentials are scenario-based and evaluate a narrower skill set specific to a critical business problem or challenge that organizations are facing.
If you want to demonstrate that you have the range of skills needed to succeed in a given job role, a Certification is the right way to go. If you want to validate your skills on a specific business problem or scenario your organization faces, an Applied Skills credential will make more sense.
Here are some key differentiators between Certifications and Applied Skills:
- Breadth of skills validated: Certifications typically validate 4-6 skill sets, while Applied Skills validate one specific skill set.
- Focus: Certifications are job role-based, while Applied Skills are product-based.
- Purpose: Certifications are intended to validate skills needed for the technical aspects of job roles that leverage Microsoft solutions and technologies. Applied Skills are intended to validate specific scenarios that may be hindering an organization’s digital transformation goals.
Many of the Applied Skills credentials can be used to help you prepare for Certification exams. Because Applied Skills are awarded based on performance within a lab, that experience may set you up for success on a Certification. All role-based Certification exams require experience, so earning an Applied Skills credential is one way to get some of the experience needed to pass the exam. However, not all skills assessed on a Certification exam will have an associated Applied Skills assessment lab, so you should not rely on Applied Skills alone. Visit how to prepare for a Certification exam.
If you want to demonstrate that you have skill sets that were not assessed by the Certification, are Certification “adjacent,” or are needed for a specific project that you would like to do or are working on. An Applied Skill credential would be a great way to show your employer and peers that you have those skills and the skills validated by your Certification.
It depends on your technical expertise and why you want to earn a Microsoft credential.
If you are exploring technology or just beginning your learning journey in technology, starting with a fundamentals certification makes the most sense because it focuses on ensuring you have the foundational knowledge you need to get started in technology.
If you have experience and want to explore how Microsoft technologies and solutions are used to solve critical business problems, an Applied Skills credential is a great way to validate fundamental world skills focused on specific projects or scenarios.
If you have some experience and are pursuing a job that leverages Microsoft solutions, a role-based certification is the logical solution to validate role-based skills. Note that some Applied Skills credentials relate to our certifications and may provide another way to prepare for a certification exam.