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)

Agentic AI Content for Practitioners (Teams: Data)

Instructor: Hurix Digital
Access provided by ExxonMobil
Recommended experience
Skills you'll gain
- Advanced Analytics
- Software Design Patterns
- Enterprise Architecture
- Artificial Intelligence
- Agentic systems
- AI Workflows
- Data Transformation
- Performance Tuning
- Application Deployment
- Data Processing
- Continuous Improvement Process
- Automation
- Scalability
- Business Metrics
- AI Orchestration
- Data Quality
- AI Enablement
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December 2025
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There are 3 modules in this course
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.
What's included
4 videos3 readings1 assignment
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.
What's included
3 videos1 reading1 assignment
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.
What's included
4 videos2 readings3 assignments
Instructor

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