Agentic AI Content for Practitioners (Teams: Data) is an intermediate-level course designed to equip data professionals, software engineers, and business analysts with the knowledge and skills to design, implement, and optimize AI agents for intelligent data automation. As organizations transition from experimental AI deployments to enterprise-scale implementations, this course provides the practical expertise needed to build reliable, scalable agent systems that deliver measurable business value.

Agentic AI Content for Practitioners (Teams: Data)

位教师:Hurix Digital
访问权限由 New York State Department of Labor 提供
您将获得的技能
- Enterprise Architecture
- Agentic systems
- AI Workflows
- Data Quality
- Application Deployment
- Performance Tuning
- Continuous Improvement Process
- Data Transformation
- Data Processing
- Artificial Intelligence
- Scalability
- AI Enablement
- Advanced Analytics
- Software Design Patterns
- Business Metrics
- Automation
- AI Orchestration
- 技能部分已折叠。显示 9 项技能,共 17 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

该课程共有3个模块
This foundational lesson introduces learners to the core concepts of AI agents, their architectural components, and their specific applications in data automation. Through real-world examples and hands-on exploration, learners will understand what makes AI agents effective for automating data workflows and identify key use cases across industries.
涵盖的内容
4个视频3篇阅读材料1个作业
This lesson focuses on practical implementation of AI agents for data automation. Learners will explore popular frameworks, design patterns, and deployment strategies. Through hands-on labs and case studies, they'll learn to build, test, and deploy AI agents for real-world data workflows while addressing common challenges like error handling, scalability, and integration with existing systems.
涵盖的内容
3个视频1篇阅读材料1个作业
This final lesson focuses on advanced topics in AI agent deployment, including performance optimization, scalability strategies, and enterprise integration. Learners will explore monitoring and evaluation frameworks, learn to scale agent systems for production environments, and develop strategies for continuous improvement and maintenance. The lesson culminates in a comprehensive capstone project and assessment.
涵盖的内容
4个视频2篇阅读材料3个作业
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¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。







