Program Highlights
Gain the expertise required to transform unstructured data into actionable insights with the Implement Knowledge Mining with Azure AI Search (AI-3022) training. This hands-on program is tailored for professionals focused on developing sophisticated intelligent search solutions using Azure AI capabilities. The curriculum enables you to effectively extract critical information from diverse content, apply advanced AI enrichment techniques, and implement robust indexing strategies. Mastering these skills empowers your organization to foster smarter decisions and optimize operational efficiency via AI-powered knowledge mining.
08-Hour LIVE Instructor-led Training 
Real-world Scenarios 
Practical Approach 
Capstone Project 
Training Completion Certificate 
Certified Experts 
Career Guidance & Mentorship 
Post Training Support 
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The “Implement Knowledge Mining with Azure AI Search (AI-3022)” course is a hands-on training specifically for AI Engineers, Developers, and Solution Architects. You’ll get deep into building intelligent search solutions using Azure Cognitive Search. We’ll cover AI enrichment, integrating your own custom skills, and exploring data effectively within Microsoft Azure. This course teaches you how to take massive amounts of unstructured data, ingest it, enrich it with AI, and explore it at scale to uncover valuable business insights. Get ready to tap into the power of AI search and learn how to transform all that enterprise content into actionable knowledge.
- Module 1: Introduction to Knowledge Mining
- Understand what knowledge mining is and why it matters.
- Real-world applications of Azure Cognitive Search.
- Key components of a knowledge mining solution.
- Introduction to the three-phase process: Ingest, Enrich, and Explore.
- Module 2: Create an Azure Cognitive Search Service
- Setting up an Azure subscription.
- Creating a new Azure Cognitive Search service.
- Understanding service tiers and pricing.
- Configuring indexes and data sources.
- Module 3: Ingest and Explore Data
- Connecting to data sources (e.g., Azure Blob Storage).
- Defining an index and understanding its structure.
- Loading and exploring your ingested data.
- Introduction to indexers, skills, and data mappings.
- Module 4: Enrich Data with AI Skills
- What is AI enrichment in Azure Cognitive Search?
- Pre-built cognitive skills overview:
- Language detection
- OCR (Optical Character Recognition)
- Entity recognition
- Sentiment analysis
- Using custom skills via Azure Functions.
- Configuring skillsets and defining enrichment pipelines.
- Module 5: Explore Data Using Azure Search Capabilities
- Building a search experience using the Azure portal.
- Querying the index: Search parameters and filters.
- Implementing facets, suggesters, and scoring profiles.
- Visualizing data with tools like Postman or Power BI.
- Module 6: Customize the Enrichment Pipeline
- Adding custom enrichment logic with Azure Functions.
- Integrating third-party services.
- Using the knowledge store to project enriched data.
- Creating tables and objects from AI-enriched content.
- Module 7: Manage and Monitor Azure Cognitive Search
- Best practices for monitoring search performance.
- Scaling search services.
- Securing access with API keys, Azure RBAC, and private endpoints.
- Logging and diagnostics for production environments.
- Capstone Project: Build a Complete Knowledge Mining Solution
- Real-life scenario: Index and enrich PDF documents.
- Create a custom skill to extract metadata.
- Build a searchable web-based interface.
- Deploy and monitor your solution end-to-end.
This course is ideal for:
- AI Engineer
- AI Developer
- Azure Solution Architect
- Anyone interested in Intelligent Search Solutions
- Student
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
Upon successful completion of the training, participants will be able to:
- Understand and implement the three-phase knowledge mining process: Ingest, Enrich, and Explore
- Set up and configure an Azure Cognitive Search service
- Ingest structured and unstructured data from various sources
- Apply pre-built and custom AI enrichment skills using Azure Cognitive Services
- Build intelligent and searchable web interfaces for enterprise content
- Integrate third-party services and custom skillsets using Azure Functions
- Monitor, scale, and secure Cognitive Search deployments
- Apply knowledge mining to real-world business cases in a final Capstone Project
How We Help You Succeed
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Words Have Power
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Success Speaks Volumes
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Frequently Asked Questions
What is the Implement Knowledge Mining with Azure AI Search course about?
The Implement Knowledge Mining with Azure AI Search course provides hands-on training for developing AI-driven search solutions using Azure Cognitive Search. You’ll learn to build end-to-end knowledge mining pipelines, integrate AI enrichment techniques, and create intelligent search solutions to turn unstructured data into valuable insights.
Who should take Implement Knowledge Mining with Azure AI Search course?
This course is designed for AI Engineers, Data Scientists, Developers, and Solution Architects interested in building intelligent search applications. It is ideal for professionals seeking to leverage Azure AI to enhance their organization's data-driven decision-making and knowledge discovery.
What skills will I gain from Implement Knowledge Mining with Azure AI Search Training?
By the end of this course, you will have the skills to:
- Set up and configure Azure Cognitive Search services
- Implement AI-powered data enrichment with pre-built and custom skills
- Create and optimize search experiences
- Develop and deploy end-to-end knowledge mining solutions
- Explore and analyze large datasets using Azure search capabilities
Are there any prerequisites for Implement Knowledge Mining with Azure AI Search online Training Course?
Basic knowledge of Azure and familiarity with AI concepts is recommended.
What is Azure Cognitive Search?
Azure Cognitive Search is a fully managed search-as-a-service solution in Microsoft Azure. It allows you to integrate powerful search and AI capabilities to index, enrich, and explore large volumes of unstructured and semi-structured data. It’s commonly used for building search applications, document management systems, and knowledge mining solutions.
How long does it take to complete the Implement Knowledge Mining with Azure AI Search Training course?
The course duration is 08-Hour.
Will I get a certificate after completion Implement Knowledge Mining with Azure AI Search Training?
Yes, upon successful completion of the training, you will receive a Certificate of Completion to validate your skills in implementing knowledge mining with Azure AI Search.
Can this course help in preparing for Azure certifications?
While this course is not specifically designed as a certification prep course, the skills and knowledge gained can help you prepare for Azure-related certifications, particularly those focused on AI, data engineering, and cloud solutions
