AI Automation Mastery: Build Smarter Systems, Work Less
Learn to design and deploy real AI-powered automation workflows that eliminate repetitive work — no coding degree required. From prompt engineering to multi-tool pipelines, you'll build systems that run while you sleep.
Perfect for: Solopreneurs, operations managers, freelancers, and team leads who want to automate repetitive knowledge work using AI tools — no software engineering background required.
Stop Doing Work a Machine Can Do Better
Every day, knowledge workers lose hours to tasks that follow the same pattern: gather data, summarize it, route it somewhere, wait, repeat. AI has changed the equation — but only for people who know how to connect the pieces. This course teaches you exactly that.
You'll start from first principles: what AI automation actually is (and isn't), where it fits inside a real workflow, and how to evaluate a process for automation potential before writing a single prompt. No fluff, no hype — just a repeatable methodology you can apply to your job, your side project, or your client's business.
Hands-On From Day One
Every module is built around a concrete deliverable. By the end of the course you'll have shipped a lead-qualification bot, an automated research-and-report pipeline, a customer-support triage system, and a personal productivity dashboard — all powered by tools like ChatGPT, Claude, Make (Integromat), Zapier, and Airtable. You'll understand not just how to build these systems, but why each architectural decision was made, so you can adapt them to any use case.
Who Thrives Here
Whether you're a solopreneur trying to reclaim your calendar, a team lead looking to 10× your department's output, or a freelancer adding a high-value AI service to your offering, this course gives you the mental model and the tactical skills to move fast. Prior tech experience helps but is not required — if you can use a spreadsheet, you can complete this course.
What you'll be able to do
- Identify and score any business process for automation potential using a structured audit framework
- Write production-quality prompts and prompt chains that produce consistent, reliable outputs
- Build multi-step automation workflows connecting AI models to real business tools (email, CRM, spreadsheets, Slack)
- Deploy a fully functional lead-qualification bot without writing custom code
- Create an automated research and report-generation pipeline using live data sources
- Design a customer-support triage system that routes and drafts responses automatically
- Evaluate AI automation tools (Zapier, Make, n8n, LangChain) and choose the right one for a given use case
- Measure, monitor, and iterate on live automations using error handling and performance logging
Curriculum
5 modules · 15 lessons
Your teacher
scott wennemann
Hey — I'm glad you're here. I've spent the last several years building AI-powered systems for businesses ranging from solo consultants to mid-sized ops teams, and the honest truth is that most people are leaving an enormous amount of time and money on the table simply because they don't know where to start. I designed this course to be the resource I wish I'd had: opinionated, practical, and completely focused on things you can actually ship. I don't teach theory for its own sake. Every framework I share is one I use in real projects, and every project in this course is a simplified version of something I've built for a paying client. I'm excited to see what you build.
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