Multimodal AI Courses and Certifications

Coursera

Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

Build multimodal data pipelines: normalize images, extract optical flow and MFCC features, augment audio, and fine-tune BERT with Hugging Face and spaCy.

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

Multimodal Prompting: Combining Text, Images, Audio & Video

Prompt AI with images, audio, and text: extract text from screenshots and whiteboards, turn spoken notes into outlines, and combine modalities into practical workflows.

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

Edureka

Multimodal Agents with Vision Language Models

Build multimodal agents that align images and text with CLIP, BLIP, and LLaVA, retrieve charts from PDFs, and coordinate through planner-executor-critic patterns and tool schemas.

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

Coursera

Unify Modalities: Cross-Modal Retrieval

Build cross-modal retrieval systems: implement approximate nearest-neighbor search with FAISS and design attention-based fusion of visual and textual embeddings using datasets like Flickr30K.

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

Coursera

Unlock Multimodal Search

Build an image-to-text search demo in Weaviate: design schemas holding image and text embeddings, ingest multimodal data, run cross-modal queries, and measure precision.

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

Modern AI Models for Vision and Multimodal Understanding

36 ratings at Coursera

Explore modern vision and multimodal models: SVM kernels and Fourier transforms, probabilistic reasoning with RNNs, Transformers and Vision Transformers, and CLIP with diffusion-based image generation.

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

Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API

10 ratings at Coursera

Perform multimodal retrieval augmented generation (RAG) with the Vertex AI Gemini API in a hands-on Google Cloud console lab.

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

Packt

Multimodal RAG with GPT – Build Smarter Search & AI Systems

Build a multimodal RAG system with GPT: create image and text embeddings, query them in a vector database, and wrap a recommender in a user interface.

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

Programming Generative AI: Multimodal AI and Model Customization

Connect images and text with multimodal models: use contrastive language-image pre-training for semantic image search, run latent and stable diffusion, and fine-tune models efficiently.

• Coursera
• 8 hours 17 minutes
• Self-Paced
• Paid Course

Introduction to Vertex AI Embeddings: Text and Multimodal

Explore the Vertex AI Embeddings API in the Google Cloud console, generating text embeddings and multimodal embeddings for image and video use cases.

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

Edureka Career Certificate

Multimodal AI Agents

Build multimodal AI agents that turn messy inputs into actions: process images, audio, and documents, use vision-language models, coordinate multiple agents, and deploy with REST APIs.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Building Multimodal AI Agents

Build multimodal AI agents that generate images, decks, and video, and orchestrate ChatGPT, Claude, Gemini, and Manus AI into a coordinated multi-agent content team.

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

Packt

Transformers for Vision AI, Multimodal & Generative AI

Apply transformers beyond text: work with ViT, CLIP, DALL-E, Stable Diffusion, Hugging Face AutoTrain, and HuggingGPT for vision, text-to-image/video, and multimodal tasks.

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

Multimodal Data Analysis with LLMs and Python

Analyze text, images, audio, and tables with large language models using Python in a compact multimodal data analysis tutorial.

• freeCodeCamp
• 1 hour 43 minutes
• Self-Paced
• Free Video

Analyze and Reason on Multimodal Data with Gemini

Use Gemini to analyze text, images, audio, and video together, reason across modalities, and extract insights.

• Google Skills
• 1 hour 45 minutes
• Self-Paced
• Paid Course