11 minutesWhat Is a Prompt Injection Attack?
Distinguish direct and indirect prompt injection and why filtering alone is not enough.
Liam Ottley. The course covers RAG-grounded chatbots, escalation logic, and a no-code stack built with tools such as Botpress, Voiceflow, Make, and n8n. Its "anatomy of an agent" section gives a concrete implementation to compare with the article's triage → evidence → proposed action → policy gate → handoff responsibilities.
It's a build-and-sell agency course, so skip the selling chapters if you only want the build — the 'anatomy of an agent' section is the piece that maps onto the article.
See how a support agent combines retrieval, escalation and workflow tools before production hardening.
No coding needed — the stack is no-code; just budget for the near-four-hour runtime.
Last reviewed: Aug 11, 2026
Continue through the same learning path with the next curated companion videos.
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.
69 minutesBuild intuition for chunking choices before tuning a real retrieval system.
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.