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: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
中级 · 课程 · 1-4 周
您将获得的技能: Containerization, LangChain, Microservices, Application Deployment, Cloud Deployment, Docker (Software), Kubernetes, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Prometheus (Software), API Design, Scalability, System Monitoring, Performance Testing, Grafana
中级 · 课程 · 1-4 周
您将获得的技能: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
中级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
中级 · 课程 · 1-4 周

您将获得的技能: Miro AI, Process Optimization, Process Improvement and Optimization, Productivity Software, Process Analysis, Business Workflow Analysis, Expense Management, Cost Management, Cost Benefit Analysis, Data-Driven Decision-Making
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 卷积神经网络, PyTorch(机器学习库), 拥抱的脸, 深度学习, 调试, MLOps(机器学习运营), 数据预处理, 机器学习, 计算机视觉, Keras(神经网络库), 应用机器学习, 张力流, 迁移学习, 性能调整, 递归神经网络 (RNN), 图像分析, 自然语言处理, 嵌入, 人工神经网络, 监督学习
攻读学位
中级 · 专项课程 · 3-6 个月

Pragmatic AI Labs
您将获得的技能: Prompt Engineering, Hugging Face, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Data Processing, Data Preprocessing, Image Analysis, Large Language Modeling, Rust (Programming Language), Natural Language Processing, Generative AI, AI Orchestration, Data Validation, Cloud Deployment
初级 · 专项课程 · 3-6 个月

您将获得的技能: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, DevOps, CI/CD, Model Deployment, Performance Tuning, Model Evaluation, Secure Coding, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Statistical Methods, Python Programming
中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning
中级 · 课程 · 1-4 周