Engineering-first AI training

Master engineering in the AI era — systematically.

ThinkSystematic helps engineers use AI in real workflows — from automotive and embedded to software and systems. Practical, technical, no fluff.

Built for real engineers
Clear frameworks, not hype
AI workflows you can use tomorrow

Training first. Newsletter if you want to follow along quietly.

What you’ll get from the training

Practical, engineering-focused AI skills. No hype, no generic tips—just systems, workflows, and tools you can plug straight into your work.

Engineering-first AI workflows

Step-by-step examples of how to use AI in real engineering work—requirements, architecture, debugging, research, and more.

Frameworks & templates

Reusable checklists, prompt patterns, and documentation templates so you don’t start from a blank page ever again.

Hands-on mini projects

Small, realistic exercises and capstones that connect AI directly to your day-to-day engineering tasks.

Why this training works for engineers

Built for busy engineers who want real leverage from AI—focused content, concrete workflows, and examples that match how you actually work.

Engineering-specificWorkflow-firstNo hype, just practice

Designed for real engineers

Examples, prompts, and exercises built around real engineering tasks—requirements, architecture, debugging, validation, and more.

Step-by-step, not just theory

Each module comes with mini playbooks and templates so you can plug AI straight into your existing workflows.

Built for busy schedules

Short, focused lessons you can complete between meetings or after work—small wins that compound into real skill.

What's next

AI at Work Training for engineers (coming soon)

Training (waitlist)

Go beyond short tips with focused sessions that help you apply AI to real engineering work—requirements, architecture, debugging, analysis, and more. Hands-on, template-first, and designed primarily for engineers who want real leverage from AI.

  • Live, small-group labs with coached practice on real-style engineering tasks.
  • Short cohort sprints (2–4 weeks) to build workflows you can demo at work.
  • Self-paced micro-courses with prompt libraries, templates, and mini projects.

Get the Weekly AI Email

A 2-minute newsletter with one tool, one prompt, and one workflow you can use at work today. No hype, no noise.

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