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

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

您将获得的技能: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning
中级 · 课程 · 1-4 周
CertNexus
您将获得的技能: 数据叙事, 机器学习, 自动化, 数据科学, 模型部署, 沟通, 项目关闭, MLOps(机器学习 Operator), 利益相关者的参与, 数据可视化, 网络应用, 利益攸关方沟通, 数据展示, 数据驱动的决策制定
中级 · 课程 · 1-4 周

Macquarie University
您将获得的技能: Anomaly Detection, AI Security, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Network Analysis, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making
中级 · 课程 · 1-3 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: MLOps (Machine Learning Operations), Data Processing, Data Pipelines, Database Development, Data Analysis, Google Cloud Platform, Data Architecture, Data Visualization, Data Modeling, Machine Learning, Cloud Security, Data Storage Technologies, Scalability
高级设置 · 课程 · 1-3 个月

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

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

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

您将获得的技能: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
中级 · 课程 · 1-4 周