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-3008; Duration: 1 Day; Instructor-led
This 1‑day course focuses on building intelligent applications that can see, interpret, and reason over images and documents using different multimodal models and agent-based tools. Learners explore how visual and document inputs can be combined with language models to enable structured extraction, analysis, and decision-making workflows. The course emphasizes practical patterns for extracting information, orchestrating tools, and grounding model responses in visual data.
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Audience
This course is designed for developers, AI engineers, and technical professionals who want to build applications that work with images and documents using multimodal, agent-driven approaches. It’s best suited for learners with basic programming experience and a general understanding of cloud or AI concepts.
Prerequisites
- Familiarity with Azure and Microsoft Foundry.
- Programming experience.
Methodology
Our program emphasizes experiential, hands-on instruction, enabling participants to acquire practical skills applicable to real-world situations. The interactive format fosters active engagement through scenario-based exercises and strategic analysis within a collaborative setting.
Course Objectives
None
Outlines
A picture says a thousand words, and multimodal generative AI models can interpret images to respond to visual prompts. Learn how to build vision-enabled chat apps.
- Introduction
- Use a vision-capable model in the Microsoft Foundry portal
- Develop a vision-based chat app
- Exercise – Develop a vision-enabled chat app
- Module assessment
- Summary
In Microsoft Foundry, you can use image generation models to create original images based on natural language prompts.
- Introduction
- What are image-generation models?
- Explore image-generation models in Microsoft Foundry portal
- Create a client application that uses an image generation model
- Exercise – Generate images with AI
- Module assessment
- Summary
Learn how to generate videos from text prompts with Sora 2 in Microsoft Foundry.
- Introduction
- Deploy a video generating model
- Generate video from a prompt
- Generate video in Python
- Exercise – Generate video with Sora 2 in Microsoft Foundry
- Module assessment
- Summary
Learn how to analyze images with Azure Content Understanding.
- Introduction
- What is Content Understanding?
- Analyze images with Content Understanding
- Exercise – Analyze images with Content Understanding
- Module assessment
- Summary
Use Azure Content Understanding for multimodal content analysis and information extraction.
- Introduction
- What is Azure Content Understanding?
- Create a Content Understanding analyzer
- Use the Content Understanding API
- Exercise – Extract information from multimodal content
- Module assessment
- Summary
Use the Azure Content Understanding API for multimodal content analysis and information extraction.
- Introduction
- Prepare to use the AI Content Understanding API
- Create a Content Understanding analyzer
- Analyze content
- Exercise – Develop a Content Understanding client application
- Module assessment
- Summary
Azure Document Intelligence uses OCR and deep learning models to extract text, key-value pairs, tables, and structured data from forms and documents. Learn how to use prebuilt and custom models to automate document processing.
- Introduction
- What is Azure Document Intelligence?
- Use the Document Intelligence Studio
- Use prebuilt models
- Train and use custom models
- Exercise – Analyze documents with Document Intelligence
- Module assessment
- Summary
Unlock the hidden insights in your data with Azure AI Search. In this module, you’ll learn how to implement a knowledge mining solution that extracts and enriches data, making it searchable and ready for deeper analysis.
- Introduction
- What is Azure AI Search?
- Extract data with an indexer
- Enrich extracted data with AI skills
- Search an index
- Persist extracted information in a knowledge store
- Exercise – Create a knowledge mining solution
- Module assessment
- Summary
