Course Details
Course Code: AI-3022; Duration: 1 Day; Instructor-led
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
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The AI-Powered Project Management Workshop is a cutting-edge course designed to equip project managers with the skills and knowledge needed to leverage artificial intelligence to enhance project efficiency and success. In this workshop, participants will explore how AI-powered project management tools can be used for essential tasks such as scheduling, resource allocation, risk assessment, and communication. By integrating AI into project workflows, managers can streamline processes and make data-driven decisions that lead to better project outcomes.
This AI-powered project management course is tailored to help project managers stay ahead of the curve by embracing the latest technological advancements in the field. With hands-on experience, participants will learn how to optimize their projects with AI, improving overall efficiency and minimizing risks. Enroll in the AI-Powered Project Management Workshop to future-proof your project management skills and lead your teams to greater success with the power of artificial intelligence.
Your Path to Success
Executives, managers, architects, and leaders across various domains will find this course invaluable. Whether you are in development, project management, or at the helm of your company, ‘Leading SAFe’ will empower you to steer your ship with confidence in turbulent waters. The prerequisites are minimal, and the methodology blends interactive lectures, discussions, and practical exercises to ensure an engaging learning experience.
Embrace Change, Lead the Way
By the end of this course, you’ll be prepared to lead the change, enable agile product delivery, and implement lean portfolio management. ‘Leading SAFe’ doesn’t just enhance your skills; it opens doors to the SAFe® 5 Agilist (SA) certification. In a world where the only constant is change, safe leadership is your compass, and this course is your map to becoming a certified Agile leader. Embark on this journey with Info Trek, and transform your career into a beacon of innovation and adaptability.
Audience
- AI Engineer
- Developer
- Solution
- Architect
- Student
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
Methodology
This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercise
Course Objectives
None
Outlines
Unlock the hidden insights in your data with Azure AI Search.
- Introduction
- Manage capacity
- Understand search components
- Understand the indexing process
- Search an index
- Apply filtering and sorting
- Enhance the index
- Exercise – Create a search solution
- Knowledge check
- Summary
Use the power of artificial intelligence to enrich your data and find new insights with custom skills in Azure AI Search.
- Introduction
- Define the custom skill schema
- Add a custom skill
- Custom text classification skill
- Machine learning custom skill
- Exercise – Create a Custom Skill for Azure AI Search
- Knowledge check
- Summary
Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing.
- Introduction
- Define projections
- Define a knowledge store
- Exercise – Create a knowledge store
- Knowledge check
- Summary
Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost terms, and allow searching in multiple languages.
- Introduction
- 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
- Exercise: Implement enhancements to search results
- Knowledge check
- Summary
Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
- Introduction
- Index data from external data sources using Azure Data Factory
- Index any data using the Azure AI Search push API
- Exercise: Add to an index using the push API
- Knowledge check
- Summary
Maintain the performance, cost, and reliability of your Azure AI Search solutions
- Introduction
- 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
- Exercise – Debug search issues
- Knowledge check
- Summary
Learn how to perform L2 ranking with semantic ranker in Azure AI Search
- Introduction
- What is semantic ranking?
- Set up semantic ranking
- Exercise – Use semantic ranking on an index
- Knowledge check
- Summary
Learn how to perform vector search and retrieval in Azure AI Search.
- Introduction
- What is vector search?
- Prepare your search
- Understand embedding
- Exercise – Use the REST API to run vector search queries
- Knowledge check
- Summary
