Engineering Management and Leadership in the Age of AI

Engineering Management and Leadership in the Age of AI - Master leadership, technical, and people skills as an Engineering Manager with 40+ ready-to-use templates and prompts.

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What you'll learn

• Understand the role and scope of engineering management vs. tech lead or IC roles.
• Build core skills in people management, leadership, and technical decision-making.
• Transition smoothly from individual contributor to manager while avoiding pitfalls.
• Apply practical frameworks for delegation, performance, and stakeholder alignment.
• Leverage AI tools for notes, agendas, and team insights in daily workflows.
• Evaluate how AI complements but doesn’t replace engineering management skills.

Description

Transitioning from engineer to manager is one of the biggest career shifts in tech. Writing code and leading people require completely different skillsets—and in today’s AI-driven world, engineering leaders face new challenges and opportunities.

This course is designed to help you bridge the gap. You’ll learn how to move beyond being an individual contributor and develop the leadership, communication, and management skills needed to guide high-performing engineering teams. We’ll cover the fundamentals of engineering management, common pitfalls for new managers, and strategies for building trust, setting direction, and scaling organizations.

You’ll also explore how AI is transforming engineering leadership—from smarter decision-making to improving productivity and supporting your teams. By the end, you’ll have the tools to step confidently into management or strengthen your existing leadership role, while staying ahead in the age of AI.

By taking this course, you will:

Understand the differences between technical and managerial roles

Build essential leadership and people management skills

Avoid common mistakes that derail first-time managers

Learn how to integrate AI tools into your leadership toolkit

Develop strategies for scaling teams and organizations effectively

This course is ideal for software engineers, team leads, and aspiring or current managers who want to grow as leaders and succeed in a rapidly evolving tech landscape.

Engineering Manager Toolkit – Templates, Prompts & Samples

As part of this course, we provide a ready-to-use Engineering Manager Toolkit with over 40 templates, prompts, and sample documents that you can download and start using immediately. These practical resources cover everything from people management and hiring to project tracking, communication, and AI-assisted decision-making—helping you apply what you learn directly in your day-to-day work.

Available Templates, Prompts, and Samples:

Hiring the Right Talent

Job Description Template

Interview Scorecard Template

AI Interview Question Generator Prompt – generate role-specific questions automatically

Candidate Red Flags Checklist – quick reference of warning signs in interviews

Onboarding New Engineers

30/60/90-Day Onboarding Plan Template

Fostering Team Culture

Team Culture & Feedback Survey Template

AI Sentiment Analysis Prompt – summarize feedback from surveys or Slack/Teams messages

Communicating with Engineers

1:1 Meeting Agenda & Notes Template

Async Update Template

AI 1:1 Prep Prompt – generate talking points for 1:1s based on prior notes

Team Update Email Draft Prompt – AI helps write concise weekly updates

Managing Upwards & Outwards

Stakeholder Update / Status Report Template

Meeting Summary Template (AI-Assisted)

Conflict Resolution & Feedback

Feedback / Conflict Resolution Template

AI Roleplay Prompt – simulate difficult conversations before the real meeting

Planning & Estimation

Milestone Breakdown / Project Plan Template

Task Estimation Worksheet

AI Backlog Prioritization Prompt – generate recommended priorities based on impact/effort

Risk Identification Checklist Prompt – quick prompt to surface possible blockers

Scrum Guide 2020 Ken Schwaber Jeff Sutherland CC BY SA 4.0.pdf

Execution & Tracking

Sprint / Project Tracking Dashboard

Risk & Blocker Log Template

AI Progress Summary Prompt – summarize team progress from Jira/Linear/GitHub tickets

Postmortems & Continuous Improvement

Blameless Postmortem Template

AI Retrospective Insight Prompt

1:1s & Coaching

Coaching Plan Tracker

AI Coaching Suggestion Prompt – suggest growth topics for a direct report

Skill Gap Analysis Prompt – AI helps summarize missing skills per engineer

Performance Management

Performance Review Template

AI Draft Performance Review Prompt – generate draft review language for managers

Career Growth & Retention

Career Growth / Development Plan Template

AI Career Path Suggestion Prompt – suggest next steps for promotion or learning

Defining Engineering Excellence

Code Quality & Review Checklist

Process Design

Process Audit / CI-CD Checklist

AI Process Improvement Prompt – suggest ways to streamline workflow or reduce bottlenecks

Measuring Developer Productivity

Developer Productivity Metrics Dashboard

AI Metrics Interpretation Prompt – analyze DORA/SPACE metrics trends

AI for Communication

Email Draft Prompt – generate professional emails for stakeholders or team

Meeting Agenda Generator Prompt – AI auto-suggest agenda items

AI for Decision Support

Decision Matrix / Prioritization Template

Scenario Comparison Template

Scenario Comparison Prompt – summarize pros/cons for multiple options

Risk Analysis Template

Risk Analysis Prompt – generate a risk table for upcoming projects

AI for Knowledge Management

Documentation Template

Documentation Summary Prompt – convert tribal knowledge into structured docs

Managing in Crisis

Scenario Planning / Crisis Response Template

Shaping Engineering Strategy

Strategic Alignment Template

Who this course is for:

• Software engineers and developers preparing for their first management role.
• Tech leads who want to strengthen leadership and people management skills.
• Current engineering managers seeking to sharpen their technical, organizational, and communication abilities.
• Professionals interested in blending technology, management, and leadership for career growth.
• Learners curious about how AI can enhance decision-making and productivity in engineering management.