A complete 5-module professional training program for operations teams
This comprehensive course teaches operations professionals how to leverage tmux + Claude AI for structured problem-solving, remote work, multi-agent workflows, and responsible AI governance. From foundational skills to production-ready governance frameworks, this course prepares your team to work faster, smarter, and more sustainably.
- tmux basics and session management
- Claude Code CLI setup
- Persistent workflows and disaster recovery
- View Module 1
- Integrating VS Code/Cursor with tmux
- PATH and environment troubleshooting
- Building your ops workbench
- View Module 2
- Building an "Ops Copilot" tmux session
- Remote access (SSH, VPN, security)
- On-call routines and incident response
- View Module 3
- PEO (Planner/Executor/Observer) pattern
- Business report failure scenarios
- Security alert handling
- View Module 4
- Connecting workflows to business metrics
- AI use policies and guardrails
- Preventing AI over-reliance
- Skill health plans
- View Module 5
- SysAdmins - Incident response, troubleshooting, automation
- DevOps Engineers - Pipeline management, infrastructure monitoring
- IT Support - Help desk escalations, system diagnostics
- Business Operations - Report failures, data quality issues, ETL debugging
- Security Operations - Alert triage, log analysis, defensive response
- Basic Linux/Unix command-line experience
- Familiarity with text editors (vi/nano or GUI)
- SSH access to a Linux server (or local Linux/Mac environment)
- General operations experience (junior to senior level)
- Start with Module 1 - Build foundational skills
- Progress through Module 2 - Set up your workbench
- Continue to Module 3 - Enable remote workflows
- Master Module 4 - Apply structured problem-solving patterns
- Complete Module 5 - Implement governance and measure success
- Each module includes instructor tips and suggestions
- All materials are self-contained HTML files
- Downloadable templates for hands-on exercises
- Real-world scenarios for live demonstrations
- Start with 1-2 pilot users (Modules 1-2)
- Expand to remote workflows (Module 3)
- Implement team patterns (Module 4)
- Roll out governance (Module 5)
- tmux configuration (
.tmux.conf) - Claude Code installation
- Basic session management skills
- Initial ops-workspace folder
- Hybrid workflow setup (VS Code/Cursor + tmux)
- PATH troubleshooting checklist
- Ops working agreement template
- Daily ops notebook
-
ops-maintmux session - Ops Copilot SOP
- Remote access checklist
- Morning ops routine
- Incident template
- PEO layout script (
ops-peo-layout.sh) - Role-specific prompts (Planner, Executor, Observer)
- Report triage checklist
- Security alert checklist
- Ops Metrics Worksheet
- AI Use Policy
- Skill Health Plan
- Business metrics measurement framework
- Architecture diagrams for each module concept
- Workflow visualizations for real scenarios
- tmux layout illustrations
- Before/after metrics dashboards
- Governance frameworks
- Copy-to-clipboard buttons on all code blocks
- Persistent checklists that save progress
- Keyboard shortcuts for navigation
- Tabbed content for complex topics
- Downloadable templates for all deliverables
- β Master tmux session management
- β Integrate GUI editors with terminal workflows
- β Build persistent remote workflows
- β Apply structured problem-solving patterns
- β Implement AI governance frameworks
- β Reduce MTTR (Mean Time To Resolve) by 40-60%
- β Decrease recurring incidents by 60%+
- β Improve documentation quality
- β Enable 24/7 remote operations
- β Build audit-ready processes
- β Understand responsible AI use
- β Maintain and grow technical skills
- β Communicate value to management
- β Mentor junior team members
- β Lead AI adoption initiatives
Planner (strategic thinking) β Executor (safe action) β Observer (continuous monitoring)
Structured approach that reduces cognitive load and builds audit trails.
Policy (what's allowed) + Guardrails (safety checks) + Logging (accountability) + Skill Retention (expertise)
Ensures AI enhances rather than replaces human expertise.
AI should make you faster and more capable, not dependent and deskilled.
- tmux (v2.6+)
- Claude Code CLI (latest version)
- Linux/macOS or WSL2 on Windows
- SSH client (for remote workflows)
- Text editor (VS Code, Cursor, or terminal-based)
- Dedicated ops server or jump host
- VPN access for secure remote connections
- Version control (git) for workspace backup
- Ticketing system for incident tracking
- Can troubleshoot common issues without AI (80% success rate)
- Understands all commands before execution
- Documents workflows effectively
- Teaches skills to colleagues
- Measurable MTTR reduction (30-60%)
- Decreased recurring incidents (50%+)
- Improved documentation quality
- High confidence during AI unavailability
- ROI demonstrated to management
- AI use policy implemented and followed
- Knowledge retention improving
- Audit/compliance requirements met
- β Allowed: Log analysis, documentation, command drafting
- β Not Allowed: Direct execution, bypassing change control, security exploitation
- Human confirmation for destructive commands
- Peer review for production changes
- Change records and audit trails
- Weekly no-AI practice time
- Monthly pairing sessions
- Quarterly self-assessments
- Brown-bag knowledge sharing
Scenario 1: File Share Performance (Module 1-2)
- Symptom: 30-second delays opening files
- Root cause: NFS stale locks
- Resolution: 35 minutes with tmux + Claude
- Outcome: Service restored, runbook created
Scenario 2: Failed Revenue Report (Module 4)
- Symptom: CEO's weekly report missing
- Root cause: CRM API timeout
- Resolution: 35 minutes using PEO pattern
- Outcome: Report generated, API monitoring improved
Scenario 3: Security Alert (Module 4)
- Symptom: Brute-force login attempts
- Root cause: Foreign IP targeting admin accounts
- Resolution: 30 minutes, attack contained
- Outcome: No breach, admins secured, 48h monitoring
- tmux installed and configured
- Claude Code working
- First persistent session created
- Hybrid workflow (GUI + tmux) functional
- ops-workspace folder structure established
- PATH issues resolved
- ops-main session running 24/7
- Remote access documented
- Morning ops routine implemented
- PEO pattern mastered
- Report failure scenario practiced
- Security alert scenario practiced
- Business metrics defined and tracked
- AI use policy drafted and socialized
- Skill health plan implemented
- First no-AI practice completed
β
Practical Focus - Real scenarios, not theory
β
Production-Ready - Templates you can use immediately
β
Governance-First - Responsible AI from day one
β
Role-Agnostic - Works for DevOps, SecOps, BizOps
β
Skill-Preserving - Prevents AI over-reliance
β
Business-Aligned - Connects to metrics that matter
- Week 1: Modules 1-2 (foundations + workbench)
- Week 2: Modules 3-5 (remote + patterns + governance)
- Week 1: Module 1
- Week 2: Module 2
- Week 3: Modules 3-4
- Week 4: Module 5
- Month 1: Pilot group (Modules 1-2)
- Month 2: Expand team (Modules 3-4)
- Month 3: Full deployment (Module 5 governance)
- tmux configuration files
- Layout scripts (ops-main, ops-peo)
- Claude prompts (copilot, planner, executor, observer)
- Checklists (troubleshooting, triage, security)
- SOPs (morning routine, incident response)
- Policies (AI use, remote access)
- Plans (metrics worksheet, skill health)
- Architecture diagrams
- Workflow timelines
- tmux layouts
- Governance frameworks
- Metrics dashboards
- Review instructor tips in each module
- Check embedded examples and walkthroughs
- Practice with included scenarios
- All templates are editable
- Adapt to your organization's needs
- Share improvements with your team
"We reduced incident resolution time by 53% and our junior team members can now handle issues that used to require senior escalation."
- DevOps Team, FinTech Startup
"The PEO pattern changed how we think about problem-solving. Everything is documented by default now."
- IT Support Lead, Healthcare Org
"Module 5's governance framework helped us get executive buy-in. We can now prove ROI with real metrics."
- SRE Manager, SaaS Company
This course material is designed for educational and professional use. You may:
- Use templates in your own work
- Share with your team and organization
- Customize for your specific needs
- Adapt workflows to your tools
Built with insights from:
- Operations teams managing 24/7 services
- Security professionals responding to threats
- Business analysts troubleshooting reports
- SRE teams applying structured debugging
- Management teams measuring AI ROI
β Start with Module 1: Foundations
β Jump to Module 3: Remote Workflows
β Go to Module 5: Governance & Metrics
β Learn Module 4: PEO Pattern
Open any module and start learning!
The future of ops isn't AI replacing humansβit's AI making humans faster, smarter, and more resilient.
Let's build that future together. π
Course Version: 1.0
Last Updated: 2025-12-06
Total Modules: 5
Total Lessons: 15
Estimated Completion: 20-40 hours (self-paced)