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
Skills you'll gain: GitHub Copilot, Model Context Protocol, Multimodal Prompts, Prompt Engineering, AI Workflows, AI Integrations, Generative AI, Test Automation, Software Documentation, Web Development Tools, Context Management, Development Environment, Artificial Intelligence, Automation
Status: FreeDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, LLM Application, Embeddings, Large Language Modeling, Generative AI, Vector Databases, Image Analysis, Applied Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, Fine-tuning, OAuth, Model Deployment, Technical Communication, Model Training, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Model Optimization, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, 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: Free TrialSkills you'll gain: Multimodal Prompts, LLM Application, OpenAI API, AI powered creativity, Embeddings, AI Integrations, Large Language Modeling, Decision Intelligence, Retrieval-Augmented Generation, Prompt Engineering, Flask (Web Framework), Application Deployment, Web Development, Software Development
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Responsible AI, AI Workflows, AI Orchestration, Agentic Workflows, Agentic systems, Generative AI Agents, Artificial Intelligence, Coordinating, Coordination, Data Ethics, Governance, Systems Architecture, Software Architecture, Accountability Frameworks, Scalability, Regulatory Compliance, Communication Strategies, Communication
Status: NewStatus: Free TrialSkills you'll gain: AI Workflows, CrewAI, Prompt Engineering, AI Orchestration, Context Engineering, Agentic Workflows, Model Context Protocol, Generative AI Agents, LLM Application, Tool Calling, Agentic systems, Role-Based Access Control (RBAC), AI Security, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence, Prompt Patterns
Status: NewStatus: Free TrialSkills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning
Status: Free TrialSkills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Prompt Patterns, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, OpenAI API, AI Integrations, Software Development
Status: NewStatus: Free TrialSkills you'll gain: Technical Documentation, Solution Architecture, Model Deployment, Software Documentation, AI Integrations, MLOps (Machine Learning Operations), AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Systems Development Life Cycle, Cloud Computing Architecture, Software Design Documents, Data Architecture, Data Integration, Systems Design, Functional Specification, Data Pipelines, Scalability
Status: NewStatus: Free TrialSkills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning
In summary, here are 10 of our most popular multimodal ai courses
- Multi-modal AI :Â Pragmatic AI Labs
- Building Multimodal Search and RAG:Â DeepLearning.AI
- End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps:Â Coursera
- Multimodal Intelligence - Vision, Audio & Language in Action:Â Coursera
- Build Multimodal Generative AI Applications:Â IBM
- AI Agents and MLOps for Production-Ready AI:Â Packt
- AI Agents: Multi-Agent Design & Governance:Â Coursera
- Mastering CrewAI for Multi Agent Systems:Â Edureka
- Pixels, Waveforms & Words: Engineering Multimodal AI Systems:Â Coursera
- IBM RAG and Agentic AI:Â IBM
