Multimodal AI Courses
Multimodal AI courses can help you learn how models process and combine different inputs such as text, images, audio, or video. You can build skills in feature representation, alignment techniques, evaluation methods, and designing workflows that use multiple data types. Many courses introduce tools like Python libraries, model APIs, and frameworks that support building and testing multimodal AI systems.
Popular Multimodal AI Courses and Certifications
Status: NewStatus: Free TrialPragmatic AI Labs
Status: NewStatus: Free TrialSkills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, OAuth, Model Deployment, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Stakeholder Communications, PyTorch (Machine Learning Library), Machine Learning Software, Applied Machine Learning, Artificial Intelligence, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
Status: FreeDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, Embeddings, Large Language Modeling, Generative AI, Vector Databases, Image Analysis, Applied Machine Learning
Status: Free TrialSkills you'll gain: Multimodal Prompts, LLM Application, Generative Model Architectures, OpenAI API, Application Development, Prompt Engineering, Web Applications, Flask (Web Framework), Web Development, Software Development
Status: NewStatus: Free TrialSkills you'll gain: Responsible AI, AI Workflows, AI Orchestration, Agentic systems, Generative AI Agents, Artificial Intelligence, Coordination, AI Security, Data Ethics, Governance, Systems Architecture, Software Architecture, Scalability, Regulatory Compliance, Communication Strategies, Communication
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Status: NewStatus: Free Trial
Status: NewStatus: Free TrialSkills you'll gain: Image Analysis, Transfer Learning, Multimodal Prompts, Model Evaluation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Algorithms, Embeddings, Model Deployment, Real Time Data, Visualization (Computer Graphics), Applied Machine Learning, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning, Systems Design
Status: Free TrialSkills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Software Development
Status: NewStatus: Free Trial
Status: NewStatus: Free TrialSkills you'll gain: Vision Transformer (ViT), MLOps (Machine Learning Operations), Generative AI, Model Deployment, Tensorflow, Performance Tuning, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, System Design and Implementation, Technical Communication, Machine Learning
In summary, here are 10 of our most popular multimodal ai courses
- Multi-modal AI :Â Pragmatic AI Labs
- End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps:Â Coursera
- Multimodal Intelligence - Vision, Audio & Language in Action:Â Coursera
- Building Multimodal Search and RAG:Â DeepLearning.AI
- Build Multimodal Generative AI Applications:Â IBM
- AI Agents: Multi-Agent Design & Governance:Â Coursera
- AI Agents and MLOps for Production-Ready AI:Â Packt
- Mastering CrewAI for Multi Agent Systems:Â Edureka
- Pixels, Waveforms & Words: Engineering Multimodal AI Systems:Â Coursera
- IBM RAG and Agentic AI:Â IBM
