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: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Predictive Analytics, Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Data Quality, Performance Measurement, Applied Machine Learning, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
中级 · 专项课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, Data Presentation, MLOps (Machine Learning Operations), Agentic Workflows, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Software Engineering, Data Ethics, Responsible AI, Technical Communication, Security Testing, Security Requirements Analysis, Agentic systems, Continuous Monitoring, CI/CD, Reinforcement Learning
中级 · 专业证书 · 3-6 个月

Coursera
您将获得的技能: Software Documentation, Engineering Documentation, Technical Documentation, Technical Writing, Technical Communication
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing
中级 · 专业证书 · 3-6 个月

Coursera
您将获得的技能: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
中级 · 专项课程 · 3-6 个月

您将获得的技能: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Dataflow, Performance Testing, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Computational Thinking, Data Processing, Data Manipulation
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Real Time Data, Predictive Modeling, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Statistical Modeling
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, Predictive Modeling, Real Time Data, Financial Statement Analysis, Continuous Monitoring, Applied Machine Learning, MLOps (Machine Learning Operations), Data Pipelines, Artificial Neural Networks, Automation
中级 · 课程 · 1-4 周