Code 课程可以帮助您学习 Python、Java 和 JavaScript 等编程语言,以及算法、数据结构和网络开发等概念。您可以掌握 Debugging、Version Control 和软件测试方面的技能,这些技能对于创建高效代码至关重要。许多课程会介绍用于版本控制的 Git 等工具、Visual Studio Code 等 Integrated Development Environment (IDE) 以及 React 或 Django 等框架,展示如何在实际项目中应用这些技能。

Pragmatic AI Labs
您将获得的技能: GitHub Copilot, Object-Relational Mapping, Restful API, Code Review, Test Case, API Testing, Software Testing, Test Script Development, Test Automation, Development Testing, Business Logic, Application Development, AI Workflows, Requirements Analysis, GitHub, API Design, Application Programming Interface (API), Software Technical Review, Software Architecture, Data Integrity
中级 · 课程 · 1-4 周

Packt
初级 · 课程 · 1-3 个月

您将获得的技能: Plot (Graphics), Scientific Visualization, Statistical Visualization, Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Other Programming Languages, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, C (Programming Language), Machine Learning
中级 · 课程 · 1-3 个月

Duke University
您将获得的技能: Model Evaluation, 计算机视觉, 回归分析, 自然语言处理, 预测分析, 人工神经网络, 应用机器学习, 决策树学习, 模型培训, 机器学习, 人工智能和机器学习(AI/ML), 模型评估, 机器学习算法, 逻辑回归, 数据科学, 无监督学习, 深度学习, 监督学习
中级 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Responsible AI, ChatGPT, AI powered creativity, Prompt Engineering Tools, Data Ethics, Generative AI, Brainstorming, Blogs, Content Creation, Creativity, Large Language Modeling
初级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: Amazon Bedrock, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
初级 · 专项课程 · 3-6 个月

Board Infinity
您将获得的技能: Responsible AI, Data Ethics, Risking, AI Enablement, Business Priorities, LLM Application, Generative AI Agents, No-Code Development, Governance, Artificial Intelligence, Large Language Modeling, Generative AI, AI Workflows, Needs Assessment, Return On Investment, Feasibility Studies, Agentic systems, Case Studies, Data Quality
初级 · 课程 · 1-4 周

IBM
您将获得的技能: 演讲, 建立关系, 面试技巧, 写作, 公司名称, 市场机遇, 数据分析, 口头表达, 专业网络, 工作分析, 投资组合管理
初级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: Retrieval-Augmented Generation, Amazon Bedrock, LLM Application, AWS SageMaker, Token Optimization, Large Language Modeling, Amazon Web Services, No-Code Development, Prompt Engineering, Generative AI, AI Orchestration, Model Deployment, Generative AI Agents, Package and Software Management, Model Training, Rust (Programming Language), Model Optimization, Performance Tuning
初级 · 课程 · 1-4 周

Packt
中级 · 课程 · 1-3 个月

您将获得的技能: Microsoft Power Platform, Microsoft Power Automate/Flow, Power BI, Dashboard, No-Code Development, Data Visualization, Data Integration, Interactive Data Visualization, Business Intelligence, Process Design, Workflow Management, Dashboard Creation, Business Process Automation, Productivity Software, Application Development, Data Analysis, Performance Analysis, Generative AI Agents, Application Design, Data Store
初级 · 专项课程 · 1-3 个月

您将获得的技能: Graph Theory, Algorithms, Game Theory, Data Structures, Computer Programming, Computational Thinking, Problem Solving
中级 · 课程 · 1-3 个月