Success Stories
Real students building real AI solutions. See what's possible with practical agentic AI training.
Automated her team's weekly reporting in 4 weeks
Sarah had zero coding experience but was spending 6+ hours a week compiling team reports. After completing Tier 1, she built an n8n workflow that automatically gathers data from Slack, Jira, and Google Sheets, then generates a polished weekly summary with Claude. Her team now gets the report every Monday at 9am — automatically.
Built a custom MCP server used by his entire engineering team
Marcus took the Tier 3 MCP Engineering module and built a custom MCP server that wraps DataFlow's internal API. Now every engineer on the team can query databases, check deployment status, and review logs through Claude Code — without switching context. The server handles 500+ queries per day.
Built a content creation pipeline that 3x'd output
Elena's marketing team was struggling to keep up with content demands. She built a multi-agent content pipeline in n8n: one agent researches topics, another writes drafts, a third edits for brand voice, and a fourth schedules posts. Content output tripled with the same team size.
Deployed Claude Code Agent Teams for feature development
James set up Claude Code Agent Teams for his team's development workflow. Three parallel agents — research, implement, and test — work together in isolated worktrees to build features. Code review time dropped by 40% because agents catch issues before human review.
Built a voice customer service agent in one afternoon
As a data analyst with no development background, Priya was skeptical she could build AI agents. The Tier 2 voice agent module walked her through building a customer service agent with ElevenLabs and a knowledge base. It now handles 200+ customer questions daily, escalating only complex issues to human agents.
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