MLOps 课程可以帮助您学习机器学习项目的部署策略、模型监控以及持续集成和交付。您可以掌握自动化工作流、管理数据管道和确保符合治理标准的技能。许多课程介绍了 TensorFlow、Kubernetes 和 MLflow 等工具,这些工具支持操作 AI Model 并简化数据科学家和 IT 团队之间的协作。

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: 张力流, 系统设计, Google 云端平台, 分布式计算, MLOps(机器学习 Operator), 模型评估, 机器学习, 系统架构, 可扩展性, 混合云计算, 性能调整, 模型部署
高级设置 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring
初级 · 课程 · 1-4 周

您将获得的技能: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Application Deployment, Data Store, Data Management, Virtual Machines, Cloud Infrastructure, Machine Learning Algorithms, Development Environment
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Continuous Monitoring, Performance Tuning, Scalability
中级 · 课程 · 1-4 周

Technical University of Munich (TUM)
您将获得的技能: Amazon Bedrock, MLOps (Machine Learning Operations), Product Development, User Experience Design, Model Evaluation, Design Thinking, AI Product Strategy, User Research, Amazon Web Services, New Product Development, Generative AI, Innovation, Machine Learning, Design Research, Problem Management
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: PyTorch(机器学习库), 拥抱的脸, 拉斯特(编程语言), 云部署, CI/CD, 自然语言处理, Devops, MLOps(机器学习 Operator), 机器学习, LLM 申请, 生成式人工智能, AWS SageMaker, 应用机器学习, 大型语言模型, 模型部署, 基础设施即代码(IaC)
中级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Tensorflow, Metadata Management, Model Evaluation, Containerization, Distributed Computing
高级设置 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Workflow Management, Google Cloud Platform, Data Management, AI Workflows, Data Governance, Data Preprocessing, Model Evaluation, Data Pipelines, Machine Learning, Feature Engineering
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Kubernetes, Model Deployment, AI Orchestration, Metadata Management, AI Workflows, Model Evaluation, Containerization, Scalability
高级设置 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Continuous Integration, Kubernetes, Metadata Management, Machine Learning Methods, Continuous Deployment, AI Orchestration, Model Deployment, AI Workflows, Applied Machine Learning, Model Evaluation, Containerization, Cloud Storage, Data Validation
高级设置 · 课程 · 1-3 个月