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。

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: 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

您将获得的技能: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling
初级 · 专项课程 · 1-3 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

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods
中级 · 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

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: 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

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

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

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: 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