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Multimodal and cross-modal AI integrations

This course is part of Microsoft Generative AI Engineering Professional Certificate

Instructor: Microsoft

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your Software Development expertise

This course is part of the Microsoft Generative AI Engineering Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Microsoft

There are 4 modules in this course

Learn to build AI that sees, hears, and understands the world in an integrated way. This course takes you beyond single-modality models, teaching you to architect applications that connect different data types like text, images, and speech.

Module details

This module introduces the foundational concepts of multimodal AI. You will learn the architectural patterns for combining different AI components, such as text and image models, and progress from basic integration to building complex systems that can reason across multiple data types. Important Notice on the Azure Interface: The screencast videos and screenshots were last updated in late 2025. Please be aware that Microsoft may have updated the Azure interface since then. If the steps shown in the course materials look different from your current Azure environment, please follow the most up-to-date interface, as the underlying concepts and learning objectives remain the same.

What's included

4 videos9 readings7 assignments

4 videosTotal 18 minutes

Introduction to Microsoft Generative AI engineering certification4 minutes
Introduction to multimodal and cross-modal integrations course3 minutes
Understanding multimodal AI5 minutes
Advanced multimodal applications5 minutes

9 readingsTotal 95 minutes

Course syllabus and recommended background5 minutes
Components of multimodal AI setup15 minutes
Visualizing a multimodal workflow15 minutes
Architectural choices in multimodal AI: Single model vs. chained pipelines10 minutes
Analyzing your first multimodal integration10 minutes
Advanced integration strategies and use cases10 minutes
Insights on advanced multimodal AI10 minutes
Case study: Designing a multimodal product search10 minutes
Module 1 summary: From architectural theory to practical integration10 minutes

7 assignmentsTotal 195 minutes

Module 1 evaluation: Graded Quiz30 minutes
First steps with a true multimodal model15 minutes
Building your first multimodal pipeline30 minutes
Multimodal integration: Practice Quiz30 minutes
Building a multimodal system30 minutes
Architecting a complex multimodal solution30 minutes
Advanced multimodal skills: Practice Quiz30 minutes

This module provides a deep dive into the popular and creative task of generating images from text descriptions. You will explore the models that power this technology, like DALL·E, and learn both basic and advanced prompting techniques to craft and refine specific, high-quality visual outputs. Important Notice on the Azure Interface: The screencast videos and screenshots were last updated in late 2025. Please be aware that Microsoft may have updated the Azure interface since then. If the steps shown in the course materials look different from your current Azure environment, please follow the most up-to-date interface, as the underlying concepts and learning objectives remain the same.

What's included

5 videos5 readings5 assignments

5 videosTotal 19 minutes

Module 2 introduction: From words to worlds with text-to-image models6 minutes
From text to image in practice4 minutes
Text-to-image model comparisons3 minutes
Mastering text-to-image control3 minutes
Module 2 summary: From architecture to artistic control3 minutes

5 readingsTotal 50 minutes

Exploration of text-to-image practices10 minutes
Insights from text-to-image applications10 minutes
Advanced text-to-image techniques10 minutes
Advanced text-to-image insights10 minutes
Case study: A creative workflow for a marketing campaign10 minutes

5 assignmentsTotal 180 minutes

Module 2 evaluation: Graded Quiz30 minutes
Generating and refining images with text-to-image prompts30 minutes
Text-to-image skills: Practice Quiz30 minutes
Synthesizing advanced text-to-image workflows60 minutes
Solving text-to-image challenges: Practice Quiz30 minutes

This module focuses on practical implementation using a powerful, specialized tool. You will leverage the features of Azure AI Vision to build and optimize cross-modal applications like image captioning and visual search. You'll learn how this single service can analyze visual content to generate rich textual descriptions and extract embedded text (OCR), providing the core components for sophisticated multimodal solutions. Important Notice on the Azure Interface: The screencast videos and screenshots were last updated in late 2025. Please be aware that Microsoft may have updated the Azure interface since then. If the steps shown in the course materials look different from your current Azure environment, please follow the most up-to-date interface, as the underlying concepts and learning objectives remain the same.

What's included

7 videos6 readings7 assignments

7 videosTotal 28 minutes

An overview of the Azure AI services toolkit5 minutes
Module 3 introduction: The multiple applications of Azure AI Vision3 minutes
Bringing sight to your applications with Azure AI Vision5 minutes
Getting started with Azure AI Vision4 minutes
Exploring cross-modal features in Vision Studio4 minutes
Refining cross-modal applications6 minutes
Module 3 summary: From a single feature to a complete vision solution2 minutes

6 readingsTotal 60 minutes

Prototyping vs. production: The role of Vision Studio10 minutes
Cross-modal AI implementation insights10 minutes
Interpreting OCR results with the SDK10 minutes
Advanced strategies for cross-modal AI10 minutes
Optimizing multimodal workflows10 minutes
Case study: Building an automated inventory checker10 minutes

7 assignmentsTotal 255 minutes

Module 3 evaluation: Graded Quiz30 minutes
Exploring cross-modal techniques30 minutes
Extract text from images60 minutes
Cross-modal techniques quiz: Practice Quiz30 minutes
Chaining vision skills with the Python SDK30 minutes
Extending a multimodal application45 minutes
Advanced cross-modal skills: Practice Quiz30 minutes

This capstone module builds upon your deep expertise in Azure AI Vision. You will learn to integrate your vision applications with other powerful Azure AI Services, such as Language and Speech, to create comprehensive, end-to-end solutions. The focus will be on orchestrating these distinct services to develop a sophisticated application that solves a real-world business problem, demonstrating your ability to design and build a complete multimodal system from the ground up. Important Notice on the Azure Interface: The screencast videos and screenshots were last updated in late 2025. Please be aware that Microsoft may have updated the Azure interface since then. If the steps shown in the course materials look different from your current Azure environment, please follow the most up-to-date interface, as the underlying concepts and learning objectives remain the same.