231 minutesHow to Build & Sell AI Agents: Ultimate Beginner's Guide
See how a support agent combines retrieval, escalation and workflow tools before production hardening.
Futurepedia. Builds a working n8n agent from scratch in one sitting and stops to explain what an agent actually is, how it differs from a linear workflow, and where the guardrails go. After this you'll recognize every node in the article's diagram and have a feel for what reasonable defaults look like.
n8n node names and agent defaults can change, so do not copy the screen blindly. Preserve the architecture: narrow task, explicit tools, bounded memory, test data first, and human review before any customer-visible action.
Build a first n8n AI-agent workflow while recognizing where tool access, memory and guardrails belong.
Basic n8n familiarity and one low-risk lead-triage or routing workflow to test.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
231 minutesSee how a support agent combines retrieval, escalation and workflow tools before production hardening.
11 minutesDistinguish direct and indirect prompt injection and why filtering alone is not enough.
26 minutesObserve a source-based notebook workflow and identify the retrieval, citation, provenance, and permission checks needed before relying on it.
Hand-picked external courses that go deeper on this topic.
Anthropic Academy
MCP is the protocol that's quietly replacing one-off tool integrations across the AI tooling ecosystem. Learn it from the source. By the end you'll have built and deployed your own MCP server, connected an LLM client to it, and understood why this standard is the closest thing the field has to USB-C.
João Moura (Founder, CrewAI)
Doubles as our sales and customer-support vertical pick and a genuinely practical agent-building course: you build an agentic sales pipeline (lead scoring, personalized outreach) and a customer-support data-insights pipeline as two of the five hands-on projects, taught by CrewAI's own founder. Requires basic Python, so it sits with our other builder-track courses rather than the no-code picks.
Hugging Face
The clearest open-source treatment of agentic systems available. Anchored in the three frameworks engineers actually evaluate (smolagents, LlamaIndex, LangGraph) rather than one vendor's stack. Concludes with a benchmark assignment and public leaderboard — accountability your team can verify.