多模态 AI 课程
多模态 AI 课程可以帮助您学习模型如何处理和组合文本、图像、音频或视频等不同输入。您可以掌握特征表示、排列技术、评估方法以及设计使用多种数据类型的 Workflow 等方面的技能。许多课程都会介绍支持构建和测试多模态 AI 系统的 Python 库、模型 API 和框架等工具。
热门多模态 AI 课程与认证
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Transfer Learning
状态：新状态：免费试用您将获得的技能: Generative Model Architectures, ChatGPT, Semantic Web
状态：新状态：免费试用您将获得的技能: Multi-Cloud, Enterprise Architecture, Cloud Computing Architecture, Cloud Platforms, Data-Driven Decision-Making, Solution Architecture, Systems Architecture, Cloud Infrastructure, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Scalability, CI/CD, IT Security Architecture, Infrastructure As A Service (IaaS), Capacity Planning, Systems Analysis, Security Controls, Cost Containment, Blueprinting, Continuous Monitoring
状态：新状态：预览您将获得的技能: Clinical Documentation, Responsible AI, Agentic Workflows, Healthcare Project Management, Data Governance, AI Security, Clinical Research, Regulatory Compliance, Data Validation, Health Informatics, Artificial Intelligence, Agentic systems, Data Ethics, Clinical Data Management, Automation, Decision Support Systems
状态：免费试用Saïd Business School, University of Oxford
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Agentic systems, OpenAI, ChatGPT, AI Workflows, AI Product Strategy, Large Language Modeling, Artificial Intelligence, Model Evaluation, Responsible AI, AI Security, Decision Making
状态：免费试用您将获得的技能: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Compliance Training, IBM Cloud, Cloud Computing Architecture, Strategic Leadership, Data Strategy, Brainstorming, Return On Investment, LLM Application, Governance
状态：新状态：免费试用Edureka
您将获得的技能: Model Context Protocol, AI Orchestration, AI Personalization, OpenAI API, OpenAI, Cloud Deployment, Agentic systems, Application Deployment, Generative AI Agents, ChatGPT, CI/CD, System Monitoring, Context Management, Responsible AI, Artificial Intelligence, Generative AI, Development Testing
状态：免费试用您将获得的技能: OpenAI API, OpenAI, Image Analysis, Generative AI, ChatGPT, LLM Application, Multimodal Prompts, Application Programming Interface (API), Large Language Modeling, Artificial Intelligence, Natural Language Processing, Computer Vision
状态：新状态：免费试用Microsoft
您将获得的技能: Responsible AI, Containerization, Scalability, AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Microservices, Generative AI Agents, Enterprise Architecture, Microsoft Azure, AI Security, Enterprise Security, Role-Based Access Control (RBAC), Coordination
状态：新状态：免费试用您将获得的技能: Generative AI, Prompt Engineering, Responsible AI, AI Security, Data Ethics, Microsoft Azure, AI Enablement, Artificial Intelligence, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Model Evaluation, Deep Learning
状态：新状态：免费试用您将获得的技能: AI Workflows, AI Orchestration, Agentic Workflows, AI Security
状态：新状态：免费试用Advancing Women in Tech
您将获得的技能: AI Workflows, Retrieval-Augmented Generation, Business Process Automation, Multimodal Prompts, Image Analysis
与 multimodal ai 相关的搜索
总之，以下是 10 最受欢迎的 multimodal ai 课程
- Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
- Working with large language models using Azure: Microsoft
- Architect and Scale Robust Multi-Cloud AI Systems: Coursera
- Agentic AI Content for Practitioners (Teams: Healthcare): Coursera
- Generative and Agentic AI: Saïd Business School, University of Oxford
- Generative AI for Executives and Business Leaders: IBM
- Deploy AI Agents with OpenAI: Edureka
- Multimodal Generative AI: Vision, Speech, and Assistants: Codio
- Building multi-agent systems: Microsoft
- Getting started with generative AI in Azure: Microsoft
