TrainingArtificial intelligence / AI in businessBTN-N8N
BTN-N8NCloudTeam course
Agentic AI: Build Agents with n8n
A two-day hands-on workshop in which participants move from isolated prompts to repeatable workflows and AI agents built on the n8n low-code visual platform. Participants build AI workflows, multi-tool agents, RAG flows and human-in-the-loop mechanisms, and learn to test and monitor agents. At the end, each participant builds and presents an agent for a real-world case from their own work.
- Duration
- 2 days
- Level
- Intermediate
- Provider
- In-house courses
- Topic
- Artificial intelligence / AI in business
Course outline
- Demo and roadmap: analyzing a complete agent
- Automation vs. workflow vs. agent: choosing the right pattern
- Agent architecture: LLM, tools, memory and human-in-the-loop
- The n8n interface: nodes, triggers, executions and credentials
- End-to-end pipeline: input, LLM, structured output and delivery
- Prompt design and errors: controlling the output
- AI Agent node: reasoning, tool selection and memory
- Workflow-to-agent: transforming the pipeline
- Agent instructions: designing robust behavior
- Multiple tools: web, calendar and data sources
- Business integrations and MCP: connecting systems
- Hybrid orchestration: combining control with autonomy
- Own documents: grounded answers
- Retrieval and vector stores: configuring the context
- Approval gates: introducing human validation
- Failure modes: checking agent errors
- Evaluation set: testing representative cases
- Monitoring and cost control
- Building an agent for your own use case
- Coaching and troubleshooting
- Production checklist and demo
Skills you will gain
- Differentiate between automation, AI workflows and AI agents
- Build an end-to-end n8n workflow
- Configure agent reasoning, tool selection and memory
- Connect the agent to business tools and data sources
- Add RAG over your own documents
- Introduce human-in-the-loop approvals
- Identify hallucination, tool misuse and prompt injection
- Create evaluation sets and monitor cost
- Build and present an agent for your own use case
Who should attend
- Professionals who already use AI tools and want to move from simple prompts to building workflows and AI agents that interact with data, documents and real business processes
- Business Analysts
- Consultants
- IT Professionals
- Product Managers
- Project Managers
- Solutions Architects
Prerequisites
- Regular use of tools such as ChatGPT, Claude, Gemini or Microsoft Copilot
- Familiarity with basic prompting concepts and the use of AI models
- Experience using digital applications and productivity tools
- No programming experience required
Upcoming dates
These sessions run online with LLPA partners. Times are shown in Polish time, and the language of delivery is listed for each date.
| Date | Times (Polish time) | Language | Status | Price | Action |
|---|---|---|---|---|---|
| 08:00–16:00 | English | Scheduled | 3650 PLN | Request a quote |
3650 PLN
Ask about dates