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: Generative Model Architectures, ChatGPT, Semantic Web
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, PySpark, Model Evaluation, Deep Learning, Applied Machine Learning, Generative AI, Large Language Modeling, Transfer Learning, Data Pipelines, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Supervised Learning, Big Data, PyTorch (Machine Learning Library), Machine Learning, Unsupervised Learning, Natural Language Processing, MLOps (Machine Learning Operations), Text Mining
混合 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Machine Learning, Development Environment, Collaborative Software, Exploratory Data Analysis
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Model Deployment, Google Cloud Platform, Machine Learning, Data Preprocessing, Virtual Environment, Development Environment
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, AI Workflows, Data Preprocessing, Computing Platforms
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL
初级 · 课程 · 1-4 周
Universidad de los Andes
您将获得的技能: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Risk Analysis, Deep Learning, Computer Vision, Reinforcement Learning, Predictive Modeling, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Logistic Regression, Financial Modeling, Descriptive Analytics, Transfer Learning, Stakeholder Engagement, Simulations, Statistical Analysis
获得学位
学位 · 1-4 年

您将获得的技能: Site Reliability Engineering, Incident Management, AI Security, MLOps (Machine Learning Operations), Model Deployment, Patch Management, Problem Management, DevOps, System Monitoring, Continuous Monitoring, Dependency Analysis, Sprint Retrospectives, Disaster Recovery, Artificial Intelligence, Vulnerability Assessments, Automation, Dashboard
中级 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Real-Time Operating Systems, Semantic Web, Supervised Learning, LangChain, Unsupervised Learning, Cloud-Native Computing, Computer Vision, Model Evaluation, Reinforcement Learning, Biomedical Engineering, Natural Language Processing, Continuous Deployment, MLOps (Machine Learning Operations), Cost Management, Artificial Intelligence, Generative AI, Probability & Statistics, Control Systems, Data Ethics, Recurrent Neural Networks (RNNs)
获得学位
学位 · 1-4 年

IBM
您将获得的技能: 数据战略, 数据建模, 数据管理, Data Management, 冲刺回顾, 流程改进, Data Governance, 业务重点, 数据整合, 数据质量, 数据管道, 元数据管理, 冲刺计划, 数据扫盲, 数据转换, 数据驱动的决策制定, 分类学
初级 · 课程 · 1-3 个月

Board Infinity
您将获得的技能: Cloud Management, Billing, Cloud Computing, Cloud Platforms, Cost Management, Multi-Cloud, Expense Management, Cross-Functional Collaboration, Financial Controls, Amazon Web Services, Budgeting, Account Management, Automation
中级 · 课程 · 1-4 周