Coursera
Agentic AI Development & Security 专项课程

以 199 美元(原价 399 美元)购买一年 Coursera Plus,享受无限增长。立即节省

Coursera

Agentic AI Development & Security 专项课程

Build Secure, Scalable AI Agent Systems. Optimize and secure AI systems with advanced algorithms and enterprise security practices.

LearningMate

位教师:

包含在 Coursera Plus

深入学习学科知识
中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Design and optimize reusable AI agent architectures using advanced algorithms and performance analysis

  • Implement comprehensive security controls including threat modeling, API protection, and vulnerability management

  • Build production-ready AI pipelines with testing frameworks, CI/CD integration, and ethical considerations

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言:英语(English)
最近已更新!

December 2025

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
  • 借助实践项目精通一门科目或一个工具
  • 培养对关键概念的深入理解
  • 通过 Coursera 获得职业证书

专业化 - 6门课程系列

Architect Reusable AI Agent Systems

Architect Reusable AI Agent Systems

第 1 门课程3小时

您将学到什么

  • Design and implement reusable, modular AI agent systems by evaluating architectures and defining clear API contracts for core components.

您将获得的技能

类别:Agentic systems
类别:Systems Design
类别:API Design
类别:Solution Architecture
类别:Systems Architecture
Engineer & Explain AI Model Decisions

Engineer & Explain AI Model Decisions

第 2 门课程3小时

您将学到什么

  • Learners will apply feature engineering and explainability to interpret AI model decisions, identify flaws, and build trustworthy systems.

您将获得的技能

类别:Data Analysis
类别:Data Cleansing
类别:Artificial Intelligence
类别:Pandas (Python Package)
类别:Predictive Modeling
类别:Debugging
类别:Performance Analysis
类别:Feature Engineering
类别:Responsible AI
类别:Embeddings
类别:Machine Learning
类别:Scikit Learn (Machine Learning Library)
类别:Decision Support Systems
类别:Data Wrangling
类别:Data Preprocessing
类别:Data Transformation
类别:Model Evaluation
类别:Technical Communication

您将学到什么

  • Build reusable ML pipelines. Analyze model trade-offs, ensure reproducibility, and apply best practices for maintainable AI systems.

您将获得的技能

类别:Model Evaluation
类别:Version Control
类别:Scikit Learn (Machine Learning Library)
类别:Model Deployment
类别:Data Preprocessing
类别:Large Language Modeling
Test and Secure Your AI Code

Test and Secure Your AI Code

第 4 门课程2小时

您将学到什么

  • Evaluate AI code dependencies for security and compatibility, and design testing strategies to ensure long-term code quality and coverage.

您将获得的技能

类别:Software Versioning
类别:AI Security
类别:Vulnerability Scanning
类别:Test Driven Development (TDD)
类别:Vulnerability Assessments
类别:Software Testing
类别:Integration Testing
类别:Continuous Deployment
类别:CI/CD
类别:Secure Coding
类别:Continuous Integration
类别:Large Language Modeling
类别:Code Coverage
类别:Unit Testing
类别:Test Automation
类别:Dependency Analysis
Secure AI: API and Dependency Risks

Secure AI: API and Dependency Risks

第 5 门课程2小时

您将学到什么

  • Implement security controls on AI service APIs and analyze dependency vulnerability reports to prioritize and execute remediation actions.

您将获得的技能

类别:API Design
类别:Security Testing
类别:Open Web Application Security Project (OWASP)
类别:Application Programming Interface (API)
类别:AI Security
类别:Authentications
类别:Application Security
类别:Threat Management
类别:Supply Chain
类别:Risk Analysis
类别:Vulnerability Management
类别:Vulnerability Assessments
类别:Data Validation
类别:Dependency Analysis
类别:Security Controls

您将学到什么

  • Learners will apply reinforcement learning to design and validate reward functions while analyzing ethical and societal implications of AI decisions.

您将获得的技能

类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Regulatory Compliance
类别:Risk Analysis
类别:Due Diligence
类别:Policy Development
类别:Policy Analysis
类别:Algorithms
类别:Reinforcement Learning

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Coursera
0 门课程0 名学生
LearningMate
Coursera
51 门课程182 名学生

提供方

Coursera

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情,我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程,Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好:它远不止于此。Coursera 让我无限制地学习。'

常见问题