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
Google Cloud
Skills you'll gain: Google Gemini, Cloud Deployment, Google Cloud Platform, AI Security, Cloud Security, Generative AI Agents, Security Strategy, System Configuration
Google Cloud
Skills you'll gain: Google Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Cloud Security, Generative AI, Security Management
Skills you'll gain: Gemini, Google Cloud Platform, Virtual Networking, Generative AI, Prompt Engineering, Network Engineering, Virtual Machines, General Networking
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Gemini, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI
Status: PreviewGoogle Cloud
Skills you'll gain: Gemini, Prompt Engineering Tools, Google Cloud Platform, Kubernetes, Devops Tools, Cloud Management, Generative AI, Development Environment, Software Documentation
Google Cloud
Skills you'll gain: Gemini, Prompt Engineering, Google Sheets, Google Workspace, Generative AI, Spreadsheet Software, AI Enablement
Google Cloud
Skills you'll gain: Gemini, Google Workspace, Generative AI, Language Interpretation, Translation, and Studies
Google Cloud
Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Prompt Engineering, Document Management
Google Cloud
Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, Kubernetes, Application Deployment, Prompt Engineering, Cloud Deployment, Cloud Infrastructure, Shell Script, Infrastructure as Code (IaC)
Status: NewStatus: Free TrialSkills you'll gain: Video Game Development, Unreal Engine, Game Design, User Interface (UI), Prototyping, Visualization (Computer Graphics), Artificial Intelligence, User Interface (UI) Design, Animations, Debugging
Status: PreviewGoogle Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Model Deployment, Natural Language Processing
Status: NewSkills you'll gain: Cloud Development, Cloud Computing Architecture, Cloud Applications, Cloud Management, Cloud Computing, Network Planning And Design, Software Architecture, Cloud Infrastructure, Network Performance Management, Data Management, DevOps, Data Storage, Performance Tuning, Maintainability, CI/CD, Data Centers, Resource Utilization, Capacity Management, Design Software, Generative AI
Searches related to multimodal ai
In summary, here are 10 of our most popular multimodal ai courses
- Gemini for Security Engineers - Français: Google Cloud
- Gemini for Security Engineers - 한국어: Google Cloud
- Gemini for Network Engineers - Português Brasileiro : Google Cloud
- エンベディング作成、ベクトル検索、BigQuery での RAG: Google Cloud
- Gemini for DevOps Engineers - 繁體中文: Google Cloud
- Gemini in Google Sheets - 日本語版: Google Cloud
- Gemini in Google Meet - 简体中文: Google Cloud
- Gemini in Google Docs 繁體中文: Google Cloud
- Gemini for Cloud Architects - Deutsch: Google Cloud
- Unreal Engine Game - FPS Prototype: EDUCBA
