Multimodal AI Courses and Certifications

Multimodal AI Applications

2 ratings at Udacity

Build enterprise multimodal AI applications across image, audio, and video using APIs, open-source models, deployment, monitoring, and a customer-service trainer project.

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

Bespoke Datasets for Multimodal AI Products

Learn to design bespoke datasets and annotation plans for multimodal AI products, then turn computer vision requirements into an AI product roadmap.

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

Build Multimodal Generative AI Applications

65 ratings at Coursera

Build multimodal AI applications combining text, speech, and images, using DALL·E, Sora, Whisper, and Llama, with cross-modal retrieval and web apps in Flask and Gradio.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Codio

Multimodal Generative AI: Vision, Speech, and Assistants

Learn to analyze images with AI vision, generate speech from text, transcribe audio with the Whisper API, and use the Assistants API's Code Interpreter and Function Calling.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Multimodal and cross-modal AI integrations

Build cross-modal AI apps: generate images from text with DALL·E prompting, add captioning and OCR via Azure AI Vision, then orchestrate Language and Speech services.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

HuggingFace

Introduction to Multimodal AI with Hugging Face

Build multimodal pipelines: caption products with CLIP and VLMs, extract invoice fields, transcribe calls with Whisper, generate images with Diffusers, and add smolagents, MCP and safety filtering.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Multimodal AI and Agent Fundamentals

Build multimodal AI agents by processing text, images, audio, video, and PDFs, then combining prompts, memory, context handling, and tool calling.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Build a DIY Multimodal Question Answering System with Vertex AI

Build a question answering system that understands both text and images using Vertex AI, working hands-on in the Google Cloud console.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Multimodal AI for Business Insights

Analyze multimodal AI outputs across text, images, audio and video: assess confidence levels, spot biases, and turn technical findings into executive-level business narratives.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Architect Multimodal AI Solutions End-to-End

Design end-to-end multimodal AI architectures: integrate diverse data streams, specify component interactions for production deployment, and write technical documentation that guides implementation teams.

• Coursera
• 2 weeks, 1 hour a week
• 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 project

• edX
• 2 weeks, 3-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Codio

Multimodal Generative AI: Vision, Speech, and Assistants

This four-week course provides a hands-on deep dive into the full spectrum of modern AI capabilities. You will master Image-to-Text (Vision), Text-to-Speech (TTS), and Speech-to-Text (Whisper), before

• edX
• 4 weeks, 3-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Multi-Modal Systems with the OpenAI API

489 ratings at DataCamp

Develop Multi-Modal Applications with the OpenAI APITo build applications that are accessible to as wide an audience as possible, it's important that they can accept inputs in different modalities, like text and speech.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

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

Multi-Modal Models with Hugging Face

181 ratings at DataCamp

Harness the Power of Multi-Modal AIDive into the cutting-edge world of multi-modal AI models, where text, images, and speech combine to create powerful applications.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available