Python 课程
Python 课程可以帮助您学习编程基础、数据分析、网络开发和自动化技术。您可以掌握编写 Cleaning 代码、调试以及使用 Pandas 和 NumPy 等库进行数据处理的技能。许多课程还介绍了用于网络应用的 Flask 和 Django 等框架，以及用于交互式编码和可视化的 Jupyter Notebook 等工具。这些技能和工具对于解决数据科学、软件开发和人工智能方面的项目至关重要。
热门 Python 课程和认证
状态：新您将获得的技能: Retrieval-Augmented Generation, AI Orchestration, Model Deployment, Cloud Deployment, Vector Databases
状态：预览Northwestern University
您将获得的技能: Control Systems, Robotics, Simulation and Simulation Software, Automation Engineering, Program Development, Mathematical Software, Mathematical Modeling
状态：新状态：免费试用您将获得的技能: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability
状态：新状态：免费试用您将获得的技能: 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
状态：免费试用Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
状态：新状态：免费试用Pragmatic AI Labs
您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Rust (Programming Language), Cloud Deployment, Application Deployment, CI/CD, Performance Tuning, Large Language Modeling, Performance Testing, Cross Platform Development, Cryptography
状态：新状态：免费试用您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), System Monitoring, Software Versioning, Data-Driven Decision-Making
状态：预览Northwestern University
您将获得的技能: Control Systems, Robotics, Simulation and Simulation Software, Graph Theory, Mathematical Software, Mathematical Modeling, Artificial Intelligence, Algorithms, Virtual Environment, Differential Equations
状态：预览H2O.ai
您将获得的技能: LLM Application, Application Development, AI Enablement, User Interface (UI), Development Environment, Interactive Design, Cloud Deployment, Generative AI, Python Programming, Application Frameworks, Open Source Technology
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
状态：新状态：免费试用您将获得的技能: Proposal Writing, Performance Tuning, Agentic systems, Computational Thinking, Performance Analysis, Computational Logic
总之，以下是 10 最受欢迎的 python 课程
- Build Real world End-to-End AI Agents using AWS Bedrock: Packt
- 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: Northwestern University
- Build Real-Time Dashboards with Spark: Coursera
- Automating Decision Workflows with AI: Edureka
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- Production ML with Hugging Face: Pragmatic AI Labs
- Secure AI Model Deployments & Lifecycles: Coursera
- 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
- H2O Wave Starter Course: H2O.ai
- Automate, Validate, and Promote ML Models Safely: Coursera
