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 Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
中级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
高级设置 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Transfer Learning, Embeddings, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Model Deployment
中级 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: Python 程序设计, 数据预处理, MLOps(机器学习 Operator), 数据操作, 预测建模, 模型部署, 应用程序部署, Flask(网络框架), 机器学习, 网络应用, Django (网络框架)
混合 · 课程 · 1-3 个月
CertNexus
您将获得的技能: 模型评估, MLOps(机器学习 Operator), 解决方案设计, 负责任的人工智能, 项目实施, 机器学习算法, 数据伦理, 商业道德, 数据驱动的决策制定, 应用机器学习, 业务解决方案, 机器学习, AI 产品战略, 监管合规, 合规管理, 人工智能和机器学习(AI/ML), AI 赋能
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 持续监测, 云计算, 亚马逊网络服务, 大型语言模型, 负责任的人工智能, AI 工作流程, MLOps(机器学习 Operator), 无服务器计算, 模型部署, 亚马逊基岩, 数据伦理, 应用程序部署, AI 安全, 生成式人工智能
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
高级设置 · 课程 · 1-4 周

您将获得的技能: Google Cloud Platform, Model Deployment, Big Data, MLOps (Machine Learning Operations), Tensorflow, Analytics, Data Pipelines, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Natural Language Processing, Image Analysis
中级 · 课程 · 1-3 个月

Duke University
您将获得的技能: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
高级设置 · 课程 · 1-4 周

Edureka
您将获得的技能: AI Security, Responsible AI, Incident Response, Data Ethics, Generative AI, LLM Application, Application Security, Large Language Modeling, Security Engineering, Threat Modeling, Cybersecurity, IT Security Architecture, Information Systems Security, Security Strategy, Artificial Intelligence, Machine Learning, Security Management, MLOps (Machine Learning Operations), Agentic systems, Ethical Standards And Conduct
初级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
中级 · 课程 · 1-4 周