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在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 MLOps 课程目录
Amazon Web Services
您将获得的技能: Amazon CloudWatch, DevOps, DevSecOps, Code Review, Amazon Web Services, CI/CD, MLOps (Machine Learning Operations), Application Performance Management, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics
- 状态:免费试用
Duke University
您将获得的技能: 数据管道, 机器学习, 数据收集, 系统架构, 数据管理, 数据清理, MLOps(机器学习 Operator), 人工智能和机器学习(AI/ML), 系统监控, 数据处理, 数据质量, 数据科学, 软件开发生命周期, 技术管理, 功能工程, 系统设计, 项目管理, 技术解决方案, 技术设计, 应用机器学习
- 状态:新状态:免费试用
您将获得的技能: Data Management, Data Pipelines, Continuous Monitoring
- 状态:新状态:免费试用
您将获得的技能: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning
- 状态:免费试用
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security
- 状态:新状态:免费试用
Google Cloud
您将获得的技能: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
- 状态:新状态:免费试用
您将获得的技能: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习, 调试, MLOps(机器学习 Operator), 大型语言模型, 人工智能, 监督学习, 张力流, Python 程序设计, 人工神经网络, 计算机视觉, 数据驱动的决策制定, 应用机器学习, 性能调整, 自然语言处理, 人工智能和机器学习(AI/ML), PyTorch(机器学习库), 生成式人工智能, Keras(神经网络库), 图像分析, 深度学习
- 状态:新状态:免费试用
Starweaver
您将获得的技能: Prompt Engineering, Generative AI Agents, Prompt Patterns, Generative AI, Agentic systems, AI Personalization, Kubernetes, Enterprise Application Management, ChatGPT, Containerization, Docker (Software), OpenAI, LangChain, Cloud Infrastructure, Scalability, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Python Programming, Engineering
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Store, Google Cloud Platform, Feature Engineering, Data Modeling, Machine Learning Methods, Data Storage, Data Processing, Applied Machine Learning, Data Quality
您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, Machine Learning
总之,以下是 10 最受欢迎的 mlops 课程
- DevOps and AI on AWS: AIOps: Amazon Web Services
- 管理机器学习项目: Duke University
- Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
- Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
- Machine Learning Implementation and Operations in AWS: Whizlabs
- Google Cloud AI Infrastructure: Google Cloud
- Introduction to Transformer Models for NLP: Pearson
- Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
- 深度学习: DeepLearning.AI
- GenAI Data and Analytics Academy: Starweaver