视觉课程
视觉课程可以帮助您学习视觉感知基础、图像处理技术和光学系统原理。您可以掌握分析 Visualization 数据、理解 Color Theory 以及将视觉设计原理应用于各种项目的技能。许多课程介绍了用于图像编辑的 Adobe Photoshop、用于模拟的 MATLAB 和用于计算机视觉的 Python 库等工具，展示了这些技能如何应用于平面设计、摄影和人工智能等领域。
热门视觉课程和认证
状态：免费您将获得的技能: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development
状态：新状态：预览您将获得的技能: Apple iOS, iOS Development, Apple Xcode, Application Deployment, Swift Programming, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Knowledge of Apple Software, Image Analysis, Real Time Data, Mobile Development, Model Deployment, User Interface and User Experience (UI/UX) Design, Computer Vision, Natural Language Processing, Classification Algorithms
状态：新状态：免费试用您将获得的技能: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Microsoft Azure, Development Testing, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence, Test Case, Agentic systems, Application Programming Interface (API), Information Architecture, Natural Language Processing, Technical Documentation
状态：免费试用MathWorks
您将获得的技能: 计算机视觉, 交通流优化, 深度学习, 卷积神经网络, 迁移学习, Machine Learning 方法, Matlab, 图像分析
状态：免费试用MathWorks
您将获得的技能: 计算机视觉, 估算, 人工智能和机器学习（AI/ML）, 医学影像, Algorithm, Matlab, 地理空间信息与技术, 图像分析
状态：免费试用Microsoft
您将获得的技能: 人工智能, 数据采集, 计算机视觉, 文本挖掘, 微软 Azure, 文件管理, 图像分析, 分类算法, 模型部署
状态：免费试用您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
状态：免费试用Google Cloud
您将获得的技能: 数据预处理, 计算机视觉, 张力流, Google 云端平台, 人工神经网络, 深度学习, 功能工程, 模型评估, 应用机器学习, 卷积神经网络, 分类算法, 图像分析, 迁移学习
状态：新状态：预览您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
状态：免费试用University of Colorado Boulder
您将获得的技能: 计算机视觉, 人工智能和机器学习（AI/ML）, 计算机图形学, 计算思维, 深度学习, 卷积神经网络, 人工神经网络, 心理学, 图像分析
状态：免费试用Macquarie University
您将获得的技能: 沟通, 高管风采, 人际沟通, 语言交流技能, 会议促进, 影响, 团队领导, 促进讨论, 积极倾听, 公开演讲, 说服沟通, 利益攸关方沟通, 战略传播, 沟通策略, 叙事, 管理团队
总之，以下是 10 最受欢迎的 vision 课程
- Build a computer vision app with Azure Cognitive Services: Microsoft
- Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI: EDUCBA
- Master AI & AWS Cloud Skills: Analyze, Build, Deploy: EDUCBA
- AI agent fundamentals with Azure AI Foundry: Microsoft
- 利用计算机视觉进行物体跟踪和运动检测: MathWorks
- 计算机视觉入门: MathWorks
- 微软 Azure 中的计算机视觉: Microsoft
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- 使用谷歌云的计算机视觉基础: Google Cloud
- Deep Learning: Build & Optimize Neural Networks: EDUCBA
