Multimodal AI Courses and Certifications

Multimodal and cross-modal AI integrations

Discover how to build AI applications that seamlessly integrate text, images, and speech using Azure AI Services for sophisticated multimodal solutions.

• Coursera
• 19 hours 55 minutes
• Self-Paced
• Paid Course

Developing Multimodal Generative AI Applications

Learn multimodal AI by building applications that combine text, speech, images, and video using Whisper, DALL·E, Sora, Llama, Granite, Mixtral, Flask, and Gradio through hands-on labs and real projects.

• edX
• 10 hours
• Self-Paced
• Free Online Course (Audit)

Coursera

End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps

Master building production-ready multimodal AI systems combining vision, language, and audio using CLIP, FAISS, FastAPI, and MLflow—covering fine-tuning, fusion, MLOps, and secure API deployment.

• Coursera
• 16 hours 42 minutes
• Self-Paced
• Paid Course

Coursera Credential

Pixels, Waveforms & Words: Engineering Multimodal AI Systems

Master the full engineering stack for multimodal AI systems—processing images, audio, and text together—using PyTorch, TensorFlow, and OpenCV to build, evaluate, and deploy production-ready solutions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 12 courses

Coursera

Architect Multimodal AI Solutions End-to-End

Master end-to-end multimodal AI solution design, bridging prototype to production with scalable architectures, cross-modal data integration, and technical documentation for real-world deployment.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Codio

Multimodal Generative AI: Vision, Speech, and Assistants

Explore multimodal AI by mastering Vision, Text-to-Speech, Whisper transcription, and the Assistants API to build intelligent agents that can see, hear, speak, and act on complex data.

• edX
• 16 hours
• Self-Paced
• Free Online Course (Audit)

Coursera

Analyze Multimodal AI for Business Insights

Master multimodal AI analysis to transform complex model outputs into strategic business insights and compelling stakeholder narratives.

• Coursera
• 1 hour 42 minutes
• Self-Paced
• Paid Course

Multimodal AI Applications

Discover how to build powerful multimodal AI systems that process text, images, audio, and video using transformers, embeddings, and generative models for real-world applications.

• Udacity
• 18 hours
• Self-Paced
• Paid Course

Opportunistic Screening for Pancreatic Cancer - Multimodal AI Fusion of CT Imaging and Radiology Reports

Discover how multimodal AI combines CT imaging and radiology reports to enable early pancreatic cancer detection through opportunistic screening and improved risk stratification.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Neural Breakdown with AVB

Multimodal AI: From First Principles to Neural Networks That See, Hear and Write

Explore the evolution and capabilities of multimodal AI systems, from fundamental principles to advanced models that combine vision, text, and audio for sophisticated machine learning tasks.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

MattVidPro AI

Bagel: ByteDance's Open-Source Multimodal AI Model Similar to GPT-4o

Explore Bagel, ByteDance's open-source multimodal AI model with image understanding and generation capabilities similar to GPT-4o, featuring unique functions like navigation and rotation under Apache 2.0 license.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

AI Engineer

The Multimodal Future of Education - Using AI to Combine Sounds, Images, and Videos for Learning

Explore how multimodal AI combines sounds, images, and videos to create innovative learning activities that foster critical thinking and creativity in education.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

AI Engineer

Building Great Multimodal AI Apps That Go Viral and Scale to Millions

Discover how to build viral multimodal AI apps that scale to millions using Vercel AI SDK and v0.dev, from RoomGPT creator Hassan El Mghari in this weekend engineering guide.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Shaw Talebi

Multimodal AI: Understanding Large Language Models with Vision and Audio Capabilities

Explore three key approaches to expanding Language Models beyond text, enabling them to process visual and auditory information, with practical demonstrations using LLaMA 3.2.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Trustworthy and Continually Adaptable Multimodal AI Systems

1 rating

Explore the development of trustworthy multimodal AI systems that can adapt continuously, presented by Jaehong Yoon from UNC Chapel Hill.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video