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: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Preprocessing, Data Quality, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Applied Machine Learning, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Machine Learning Algorithms, Artificial Neural Networks, Data Pipelines
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning
初级 · 项目 · 不超过 2 小时

Duke University
您将获得的技能: LLM 申请, 负责任的人工智能, 拥抱的脸, 大型语言模型, 数据科学, 模型部署, MLOps(机器学习 Operator), 机器学习, 数据分析, 数据管道, 数据转换, Apache Spark, 数据湖, 摘录, 数据库, 生成式人工智能
初级 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming
初级 · 专项课程 · 3-6 个月

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

您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Model Deployment, Applied Machine Learning, Machine Learning, Natural Language Processing
初级 · 课程 · 1-3 个月

Alberta Machine Intelligence Institute
您将获得的技能: AI 产品战略, 机器学习, 模型评估, 负责任的人工智能, 模型部署, 持续监测, MLOps(机器学习 Operator), 应用机器学习, 性能指标, 风险缓解, 性能调整, 业务运营, 数据维护, 数据伦理, AI 赋能, 利益攸关方沟通, 道德标准与行为, 运行分析, 系统集成, 企业战略
混合 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google 云端平台, 分类算法, 模型部署, 云计算, MLOps(机器学习 Operator), 应用机器学习, 预测建模
中级 · 项目 · 不超过 2 小时

Google Cloud
您将获得的技能: Google 云端平台, 模型部署, AI 工作流程, 数据预处理, MLOps(机器学习 Operator), 应用机器学习, Jupyter
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation
中级 · 课程 · 1-3 个月

Universidad Austral
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: Data Processing, Data Pipelines, Data Infrastructure, Google Cloud Platform, Data Warehousing, MLOps (Machine Learning Operations), Data Visualization, Model Deployment, Data Quality, Cloud Engineering, Scalability, Data Storage, Cloud Security, Machine Learning, SQL
高级设置 · 课程 · 1-3 个月