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Hands-On Automation with n8n & Workato

Instructor: Hurix Digital

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Process Resilience Design: Build workflows with failure recovery patterns that maintain service continuity during outages or rate limits
AI Quality Assurance: Establish monitoring and feedback loops to ensure machine learning outputs meet business accuracy requirements over time
Integration Architecture: Design loosely-coupled automation systems that adapt to changing requirements without breaking workflows
Operational Excellence: Implement logging, alerting, and tracking that enables proactive maintenance of automated processes

Skills you'll gain

Tools you'll learn

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Shareable certificate

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

Learn more about Coursera for Business

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There are 3 modules in this course

Manual document processing consumes 40% of IT support teams' time while error-prone handoffs delay service delivery. This Short Course was created to help IT Support and Operations professionals accomplish automated workflow orchestration across email, storage, and ITSM systems using AI-enabled platforms. By completing this course, you'll be able to eliminate manual document routing bottlenecks, implement resilient error handling that maintains SLA compliance, and optimize AI classification accuracy for production workloads. By the end of this course, you will be able to: Apply n8n triggers and connectors to automate document-to-ticket processing across email, storage, and ITSM systems (Apply); Analyze Workato job logs and error branches to implement retry and dead-letter handling that meets service-level objectives (Analyze); Evaluate AI-enabled node outputs for accuracy and adjust prompts or classification thresholds to maintain process quality (Evaluate). This course is unique because it combines visual workflow automation with enterprise-grade resilience patterns and AI quality monitoring techniques. To be successful in this project, you should have a background in IT operations with basic API integration experience.