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。

您将获得的技能: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Statistical Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Exploratory Data Analysis, Spatial Data Analysis, Tree Maps, Plot (Graphics), Plotly, Data Analysis, Data Visualization, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Quantitative Research, Pandas (Python Package)
中级 · 指导项目 · 不超过 2 小时

Google DeepMind
您将获得的技能: Prompt Engineering, Google Gemini, Gemini, Generative AI Agents, AI Integrations, Google Cloud Platform, Application Programming Interface (API), Real Time Data, Key Management, Tool Calling, Agentic systems, Cloud Deployment, Generative Model Architectures, Generative AI, Large Language Modeling, AI Security, Artificial Intelligence, AI Workflows, Cloud Applications, Cloud Development
中级 · 专项课程 · 1-3 个月

Pragmatic AI Labs
您将获得的技能: MySQL, MySQL Workbench, Rust (Programming Language), Data Pipelines, SQL, Relational Databases, Database Management, Database Systems, Query Languages, Data Maintenance, Database Software, Database Management Systems, Database Architecture and Administration, Data Engineering, Bash (Scripting Language), Data Import/Export, Data Architecture, Data Modeling, Docker (Software), Data Preprocessing
初级 · 课程 · 1-4 周

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), Continuous Integration, 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 Strategy, Automation
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 模型评估, 数据预处理, 人工智能, 放射科, 预测建模, 深度学习, 计算机视觉, 自然语言处理, 机器学习, 诊断测试, 图像分析, 医学影像, 放射诊断学, 患者评估, 预测分析, 卷积神经网络, 应用机器学习, 风险建模, 统计机器学习, Model Evaluation, 机器学习方法
中级 · 课程 · 1-4 周

您将获得的技能: Docker (Software), Kubernetes, Containerization, YAML, DevOps, Devops Tools, Application Deployment, Command-Line Interface, Flask (Web Framework), Cloud Deployment, Scalability, Load Balancing
中级 · 课程 · 1-4 周

您将获得的技能: LLM Application, Analysis, Benchmarking, Performance Metric
中级 · 课程 · 1-4 周

AI CERTs
您将获得的技能: AI Enablement, Sustainable Development, Generative AI, Sustainable Systems, Sustainability Reporting, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Environment, Environmental Resource Management, Environmental Issue, Environmental Policy, Responsible AI, AI Personalization, Energy and Utilities, Environment and Resource Management, Climate Change Adaptation, Environmental Regulations, Google Analytics, Demography
中级 · 课程 · 1-3 个月

Pragmatic AI Labs
您将获得的技能: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, LLM Application, API Design, Cloud Development, Microsoft Azure, Prompt Engineering, Capacity Management, Scalability, Authentications, Data Validation
初级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: GitHub Copilot, Infrastructure as Code (IaC), Other Programming Languages, Terraform, Rust (Programming Language), Test Script Development, Ansible, Test Driven Development (TDD), GitHub, Test Automation, Dependency Analysis, AI Integrations, AI Workflows, Containerization, Unit Testing, Maintainability, Test Tools, Docker (Software), Style Guides, Software Testing
初级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
高级设置 · 专项课程 · 1-3 个月