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Agentic AI Content for Practitioners (Teams: Data)

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Coursera

Agentic AI Content for Practitioners (Teams: Data)

Hurix Digital

Instructor: Hurix Digital

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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

Hurix Digital
Coursera
56 Courses1,978 learners

Offered by

Coursera

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.