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.
Through hands-on labs, real-world case studies, and interactive projects, you'll learn to transform manual data operations into intelligent, adaptive systems.
The course covers everything from agent architecture fundamentals to advanced optimization strategies, preparing you to lead AI agent initiatives in your organization. You'll explore popular frameworks, design patterns, and deployment strategies while addressing critical considerations like error handling, scalability, and enterprise integration.
Whether you're automating data quality monitoring, building predictive analytics systems, or creating intelligent customer service agents, this course provides the foundation you need to succeed in the rapidly evolving landscape of AI-powered data automation.
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
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4个视频•总计22分钟
Introduction and Welcome•4分钟
What Makes an AI Agent "Intelligent"?•6分钟
Types of AI Agents: From Simple to Sophisticated•5分钟
Core Components of AI Agent Architecture•8分钟
3篇阅读材料•总计30分钟
Welcome to the Course: Course Overview•10分钟
AI Agents Transforming Data Automation Across Industries•10分钟
Framework Landscape: Choosing the Right Tools for Agent Development•10分钟
1个作业•总计15分钟
HOL: Analyze and Map AI Agent Components in Real-World Scenarios•15分钟
Lesson 2: Implementing AI Agents for Data Workflows
第 2 单元•小时 后完成
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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
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3个视频•总计20分钟
From Design to Deployment: AI Agent Development Lifecycle•6分钟
Design Patterns for Data Automation Agents•6分钟
Handling Data Integration and Error Management•8分钟
1篇阅读材料•总计10分钟
Popular Frameworks for AI Agent Development•10分钟
1个作业•总计15分钟
HOL: Build a Data Quality Monitoring Agent•15分钟
Lesson 3: Optimizing and Scaling AI Agent Systems
第 3 单元•小时 后完成
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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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4个视频•总计22分钟
Performance Monitoring and Optimization Strategies•9分钟
Scaling AI Agent Systems for Enterprise Deployment•5分钟
Continuous Improvement and Evaluation Frameworks•5分钟
Congratulations and Continuous Learning Journey•3分钟
2篇阅读材料•总计20分钟
Enterprise Integration and Governance Frameworks•10分钟
Future Trends and Emerging Technologies•10分钟
3个作业•总计70分钟
Untitled•10分钟
HOL: Design an Enterprise-Scale AI Agent System•15分钟
Project: Comprehensive AI Agent Portfolio Development•45分钟
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