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。

Microsoft
您将获得的技能: 机器学习, 微软 Azure, 无监督学习, 计算机视觉, 自然语言处理, 人工智能, 异常检测, 回归分析, Microsoft Azure, 负责任的人工智能, 预测建模, 模型部署, 应用机器学习, 人工智能工作流程, MLOps(机器学习运营), 人工智能和机器学习(AI/ML), 图像分析, 人工智能安全, 分类算法, 分析, 无代码开发
初级 · 专项课程 · 3-6 个月

Pragmatic AI Labs
您将获得的技能: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Controls, Security Strategy, Automation
初级 · 课程 · 1-4 周

您将获得的技能: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Financial Forecasting, AI Security, Incident Management, Ansible, Operations, Budgeting, Cost Reduction, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Compliance Management, Cost Management, System Monitoring, Predictive Modeling, Financial Management
中级 · 课程 · 1-3 个月

您将获得的技能: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
高级设置 · 专项课程 · 1-3 个月

您将获得的技能: Git (Version Control System), Version Control, Continuous Integration, Jupyter, Package and Software Management, Resource Utilization, Virtual Environment
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management
初级 · 课程 · 1-3 个月

您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
中级 · 专项课程 · 3-6 个月

您将获得的技能: Responsible AI, Amazon Bedrock, Generative AI, AWS SageMaker, Large Language Modeling, Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Transfer Learning, Natural Language Processing
中级 · 课程 · 1-3 个月

您将获得的技能: Data Flow Diagrams (DFDs), Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Feature Engineering, Performance Analysis
中级 · 课程 · 1-4 周