Coursera
Jira Workflow Automation & Optimization Specialization

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Coursera

Jira Workflow Automation & Optimization Specialization

Optimize Agile Teams With Jira Automation. Learn to configure, automate, and optimize Jira workflows for agile project success.

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Configure Jira projects, workflows, and automation rules to standardize processes and improve team efficiency.

  • Analyze agile metrics and craft dashboards to identify bottlenecks and communicate project health to stakeholders.

  • Build data-driven business cases for automation and evaluate tools to optimize Jira environments.

Skills you'll gain

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Taught in English
Recently updated!

January 2026

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Specialization - 3 course series

What you'll learn

  • Apply Agile principles and Scrum roles to analyze common team challenges and recommend effective solutions for better collaboration and outcomes.

Skills you'll gain

Category: Sprint Retrospectives
Category: Scrum (Software Development)
Category: Case Studies
Category: User Story
Category: Sprint Planning
Category: Agile Methodology
Category: Project Management
Category: Agile Project Management
Category: Cross-Functional Collaboration
Category: Team Building
Category: Team Management
Category: Team Leadership
Category: Resilience
Category: Backlogs

What you'll learn

  • Apply story mapping to organize large initiatives and use retrospective data to identify and address systemic impediments for continuous improvement.

Skills you'll gain

Category: Performance Analysis
Category: Prioritization
Category: Team Performance Management
Category: Descriptive Analytics
Category: Product Roadmaps
Category: Backlogs
Category: Root Cause Analysis
Category: Operational Analysis
Category: Sprint Retrospectives
Category: Jira (Software)
Category: Performance Metric
Category: Agile Methodology
Category: Continuous Improvement Process
Category: Agile Project Management
Category: User Story
Category: Data-Driven Decision-Making
Category: Release Management
Category: Collaborative Software
Category: Sprint Planning
Category: Project Planning

What you'll learn

  • Learners will use AI to automate Jira release notes and analyze AI model outputs to improve data categorization accuracy through performance metrics.

Skills you'll gain

Category: AI Workflows
Category: AI Enablement
Category: Artificial Intelligence
Category: Quality Assessment
Category: Jira (Software)
Category: Generative AI
Category: Release Management
Category: Software Documentation
Category: Technical Communication
Category: Verification And Validation
Category: Model Evaluation
Category: Technical Documentation
Category: Automation
Category: Data Validation
Category: Benchmarking
Category: Prompt Engineering

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Instructors

Coursera
1 Course11 learners

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