Strategies for Teaching and Marketing AI Agents
An educator is seeking advice on how to attract high-quality students for an AI agent and automation course. The discussion focuses on filtering out unfit leads and creating a curriculum that delivers real value.
The author is struggling with low-quality inquiries from social media ads for their coaching program on AI agents and workflows. Community members suggest introducing 'friction' in the sign-up process, such as requiring an application or watching a webinar, to ensure only serious students join. They recommend focusing on practical projects using n8n and Python that can generate income or save costs for businesses. This approach helps students see the direct economic benefit of building and deploying agents.
Key points
- Filter student candidates using pre-requisite tasks to ensure they are committed to learning.
- Teach practical tools like n8n to help students build real-world automation projects.
- Focus on attracting high-quality leads through authority-building on platforms like LinkedIn.
- Design the course around building agents that solve business problems or reduce costs.
Quick term guide
- AI agent
- An AI program that can inspect information and suggest what to do next.
- automation
- A way to make repeated work happen without doing every step by hand.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- workflows
- The specific order of steps taken to finish a piece of work.
- workflow
- A repeatable set of steps for getting a task done.
- friction
- Anything that makes it harder or slower for a user to start using a product.
- business
- An activity where you provide value to others in exchange for money.
- A social network where professionals share resumes and connect with employers and colleagues.