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：预览您将获得的技能: User Experience Design, User Centered Design, Prototyping, UI/UX Research, Miro AI, Wireframing, User Research, Design Thinking
Google Cloud
您将获得的技能: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Applied Machine Learning, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies
状态：新状态：免费试用您将获得的技能: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)
您将获得的技能: LLM Application, Generative AI, Retrieval-Augmented Generation, Prompt Engineering, Large Language Modeling, Google Cloud Platform, Application Deployment, Prototyping
Google Cloud
您将获得的技能: Google Gemini, Kubernetes, DevOps, Generative AI Agents, Development Environment, Google Cloud Platform, Infrastructure as Code (IaC), LLM Application, Application Performance Management
Google Cloud
您将获得的技能: Google Gemini, Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Google Cloud
您将获得的技能: Google Gemini, Kubernetes, DevOps, Development Environment, AI Workflows, Google Cloud Platform, LLM Application, Cloud Management
状态：预览Google Cloud
您将获得的技能: Google Gemini, Gemini, Test Case, Google Cloud Platform, Web Development Tools, Generative AI, Data Access, Software Development Life Cycle, Application Development, Web Applications, Cloud Development, Debugging
您将获得的技能: Real Time Data, Google Cloud Platform, Data Pipelines, Big Data, Data Processing, Advanced Analytics, Performance Tuning, Data Storage Technologies, Data Transformation, Scalability
状态：免费试用您将获得的技能: Game Design, Unreal Engine, System Design and Implementation, User Interface (UI), Video Game Development, User Interface and User Experience (UI/UX) Design, Animation and Game Design, Interaction Design, Virtual Environment, Storytelling
状态：新状态：免费试用您将获得的技能: Unity Engine, Animation and Game Design, Video Game Development, Game Design, Scripting, Augmented and Virtual Reality (AR/VR), Interactive Design, Development Environment, C# (Programming Language), 3D Assets, Virtual Environment, Artificial Intelligence
状态：预览Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Tensorflow, Data Pipelines, Metadata Management, Kubernetes, AI Orchestration, AI Workflows, Model Deployment, Containerization, Model Evaluation
与 multimodal ai 相关的搜索
总之，以下是 10 最受欢迎的 multimodal ai 课程
- Experience Essentials: Unlocking the UX Process with Miro: Coursera
- Gemini for Data Scientists and Analysts - 한국어: Google Cloud
- Practical Machine Learning without Coding: LearnQuest
- Crea apps basadas en IA generativa en Google Cloud: Google Cloud
- Gemini for DevOps Engineers - Español: Google Cloud
- Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
- Gemini for DevOps Engineers - Français: Google Cloud
- Gemini for end-to-end SDLC - Français: Google Cloud
- Building Resilient Streaming Analytics Systems on GCP IT: Google Cloud
- Advanced Horror Gameplay and Inventory Systems: Packt
