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In this workshop, we progress from foundational LLM workflows to true agentic systems with autonomy, tool use, and multi-agent collaboration. You'll learn how to architect multi-agent systems, understand agentic design patterns, and build practical workflows using n8n. You'll learn how to: Understand the core components of AI agents (LLMs, tools, memory, planning, reasoning) Distinguish between LLM workflows, single agents, and multi-agent systems Apply agentic design patterns: assembly line, reflection, supervision, competition, and hierarchy Design multi-agent architectures with clear roles and handoffs Build workflows using n8n's drag-and-drop interface Implement tool use and web search capabilities in agent systems Create practical applications like automated content generation systems Timestamps: 0:00 - Introduction and workshop overview 2:11 - Introduction to AI agents 4:15 - What is an agent: components and capabilities 7:31 - Multi-agent systems and design patterns 12:33 - Agentic authoring assistant case study demo 16:14 - Simplified case study problem breakdown 18:43 - Introduction to n8n platform 21:50 - n8n walkthrough and capabilities 24:05 - Live workflow demonstration 30:14 - Demo results and output 31:34 - Key takeaways and advice 32:50 - Q&A session Watch this workshop if you're ready to move beyond basic chatbots and build sophisticated AI systems with multiple agents working together to solve complex problems. This is Workshop 2 of 3 in the Agentic AI series. Workshop 1 covered foundational LLM workflows and RAG systems, while Workshop 3 will focus on production readiness including evaluations, guardrails, safety, and monitoring. This workshop is adapted from the Agentic AI Developer Certification Program by Ready Tensor - a 12-week, project-based program where you go far beyond this introductory session to design, build, and deploy real-world agentic AI systems. In the full program, you'll progress from foundational LLM workflows and RAG systems to multi-agent architectures, MCP-based tool integration, evaluations, guardrails, and production-ready deployments. Learn more and enroll here: https://www.readytensor.ai/agentic-ai... These Agentic AI workshops were delivered in partnership with the University of San Diego's Masters programs in Applied AI and Data Science. We've made them public so anyone interested in building agentic systems can learn the fundamentals. About Ready Tensor: Ready Tensor helps AI and ML professionals learn by building. Our platform combines certifications, hands-on projects, competitions, and community-driven learning to prepare you for real-world AI development. Learn more: https://www.readytensor.ai/ If you found this workshop useful, like the video, subscribe to the channel, and let us know what agentic AI topics you want us to cover next.