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 Duration 21 hours

Course Outline

Introduction to Linear

  • Exploring Linear’s design philosophy and user interface
  • Gaining a clear understanding of teams, projects, and cycles
  • Comparing Linear with Jira and other conventional tools

Configuring Linear for Enterprise Environments

  • Setting up organizations and administering user permissions
  • Implementing SSO, SCIM, and robust security policies
  • Controlling visibility and access across multiple teams

Designing and Optimizing Workflows

  • Managing issues and projects effectively
  • Establishing cycles, roadmaps, and key milestones
  • Customizing states, labels, and templates to fit your process

Leveraging Automation and AI-Powered Capabilities

  • Utilizing Linear’s native AI for triage and summary generation
  • Connecting external LLMs such as Deepseek, LlaMA, Qwen, or Mistral Small
  • Building custom automations via the Linear API

Enhancing Integrations and Collaboration

  • Linking with GitHub, GitLab, Slack, and Figma
  • Synchronizing commits and pull requests with Linear issues
  • Optimizing the use of notifications and mentions

Advanced Analytics and Reporting

  • Monitoring team velocity and key performance indicators
  • Generating insights from cycles and analyzing trends
  • Creating executive dashboards for stakeholders

Managing Migration and Change

  • Strategizing the transition from Jira, Trello, or Asana
  • Employing data import/export tools and scripting
  • Onboarding teams and establishing success metrics

Scaling Linear Across the Organization

  • Efficiently managing multiple teams and concurrent projects
  • Architecting workflows suitable for large enterprises
  • Upholding performance and governance standards

Wrap-up and Future Steps

Requirements

  • Familiarity with agile software development methodologies.
  • Practical experience with project or product management tools such as Jira or Trello.
  • Foundational knowledge of software development workflows and team collaboration dynamics.

Target Audience

  • Engineering managers and product leads.
  • Project managers and agile coaches.
  • DevOps specialists and workflow automation engineers.

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