Overview: AI-Powered Project Management Workshop
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.
Course Details
Course Code: AI-3019; Duration: 1 Day; Instructor-led
This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL – Flexible Server can enable you to build AI-powered apps.
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Audience
- Developer
Prerequisites
Before starting this module, you should have experience working with PostgreSQL databases, writing SQL queries, and a general understanding of AI and ML concepts.
Methodology
This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercise
Course Objectives
None
Outlines
This module explores how to effectively use Azure Database for PostgreSQL – Flexible Server and the Azure AI extension to develop powerful Generative AI applications.
- Introduction
- Understand generative AI language models
- Describe the Azure AI extension
- Explore the Azure OpenAI schema
- Review the Azure Cognitive schema
- Examine the Azure Machine Learning schema
- Exercise-Explore the Azure AI extension
- Knowledge check
- Summary
This module explores semantic search, embedding vectors, vector similarity, and using Azure Database for PostgreSQL – Flexible Server with PostgreSQL Vector and Azure AI extensions to generate, store, and query rows with semantic search.
- Introduction
- Understand generative AI language models
- Describe the Azure AI extension
- Explore the Azure OpenAI schema
- Review the Azure Cognitive schema
- Examine the Azure Machine Learning schema
- Exercise-Explore the Azure AI extension
- Knowledge check
- Summary
This module will examine how Azure AI Services and the Azure AI extension for Azure Database for PostgreSQL – Flexible Server enable Generative AI summarization techniques for condensing complex content into concise summaries.
- Introduction
- Explain extractive summarization
- Explore abstractive summarization
- Exercise – Perform extractive and abstractive summarization
- Knowledge check
- Summary
This module will explore how Azure AI Services and the Azure AI extension for Azure Database for PostgreSQL – Flexible Server enable sentiment analysis and opinion mining to extract valuable insights from textual data.
- Introduction
- Explore sentiment analysis
- Describe opinion mining
- Exercise-Analyze sentiment
- Knowledge check
- Summary
This module covers Azure AI Language tools including key phrase extraction, entity recognition, personally identifiable information recognition and redaction, and using Azure Database for PostgreSQL – Flexible Server with Azure AI to access these services.
- Introduction
- Extract key phrases
- Recognize entities
- Recognize personally identifiable information (PII) entities
- Exercise-Extract insights using the Azure AI Language service
- Knowledge check
- Summary
This module guides you through translating textual data in Azure Database for PostgreSQL – Flexible Server using the Azure AI Translator service. You’ll load data into PostgreSQL and translate it into multiple languages.
- Introduction
- Explore the Azure AI Translator Service
- Translate data in Azure Database for PostgreSQL
- Exercise-Translate text
- Knowledge check
- Summary
This module guides you through training and deploying an Azure Machine Learning model using automated machine learning. Then, you’ll call the model directly from Azure Database for PostgreSQL – Flexible Server.
- Introduction
- Explore Azure Machine Learning
- Invoke Azure Machine Learning models
- Exercise-Perform inference using Azure Machine Learning
- Knowledge check
- Summary
