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。

Google Cloud
您将获得的技能: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Model Deployment, Machine Learning, Data Preprocessing, Natural Language Processing
初级 · 课程 · 1-3 个月
您将获得的技能: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization
中级 · 课程 · 1-4 周

您将获得的技能: .NET Framework, Machine Learning Algorithms, Model Deployment, Machine Learning, AI Enablement, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), C# (Programming Language), Microsoft Visual Studio, Development Environment, Microsoft Development Tools, Responsible AI, Model Evaluation, Computer Vision
中级 · 课程 · 1-3 个月

您将获得的技能: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Dimensionality Reduction
初级 · 课程 · 1-3 个月

您将获得的技能: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
高级设置 · 课程 · 1-3 个月

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

Google Cloud
您将获得的技能: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, MLOps (Machine Learning Operations), Containerization, Performance Tuning, Scalability
初级 · 课程 · 1-4 周

Fractal Analytics
您将获得的技能: Responsible AI, Data Ethics, AI Security, Data Governance, AI Workflows, Data Pipelines, Data Transformation, Governance, Data Integrity, Data Quality, MLOps (Machine Learning Operations), Information Assurance, Risk Modeling, Metadata Management, Data Security
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: AI Workflows, AI Enablement, Databricks, Scalability, AI Orchestration, Workflow Management, MLOps (Machine Learning Operations), Strategic Thinking, Responsible AI, Model Deployment, Business Strategy, Automation, Real Time Data, Model Evaluation
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, MLOps (Machine Learning Operations), Tensorflow, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Statistical Methods
中级 · 课程 · 1-3 个月

您将获得的技能: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management
中级 · 项目 · 不超过 2 小时

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