pds-futurejobs
['Product page','no']
From concept to operational AI agent
Course
2

Booking no:

42649

From concept to operational AI agent

Develop your own AI agent with real business value—from problem definition and architecture to a working prototype in n8n. You will learn when RAG, tools, or webhooks are useful, how to define success criteria, and how to measure quality. At the end of the course, you will pitch your agent and receive feedback.

4 weeks
approx. 20 hours
Online
German
Junior, Professional and Master Class

Date preview

Start date
Last module
Availability
Location
7.7.2026
14.7.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
6.10.2026
13.10.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online

Module overview

The following module overview shows dates for the course start on
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Module
1

Agent architecture & design

  • Orientation: What defines an agent and how they differ from an assistant. 
  • Architecture decisions: Single-agent, multi-agent, and agentic RAG compared. 
  • Understanding patterns: When to use RAG, when to use tools, when to use webhooks—and when combinations make sense. 
  • Context design: prompt composition, memory strategies, and guardrails for stable agent behavior. 
  • Define the business problem: Develop a shared language, identify stakeholders, make success measurable. 
  • Group exercise: Define your own agent with goals, users, input/output, success criteria, and limitations.
Webinar
2.5 hours

Tuesday, July 7, 2026
, 4:00 p.m. – 6:30 p.m.

61459975
Module
1

Agent architecture & design

  • Orientation: What defines an agent and how they differ from an assistant. 
  • Architecture decisions: Single-agent, multi-agent, and agentic RAG compared. 
  • Understanding patterns: When to use RAG, when to use tools, when to use webhooks—and when combinations make sense. 
  • Context design: prompt composition, memory strategies, and guardrails for stable agent behavior. 
  • Define the business problem: Develop a shared language, identify stakeholders, make success measurable. 
  • Group exercise: Define your own agent with goals, users, input/output, success criteria, and limitations.
Webinar
2.5 hours

Tuesday, October 6, 2026
, 4:00 p.m. – 6:30 p.m.

61460054
Module
2

Self-study phase 1

Agent Design & Canvas

  • Finalize scope: Refine and define your own agent design from Webinar 1. 
  • Tool selection: Identify and document relevant tools and APIs for implementation. 
  • Create agent canvas: 1-page concept document based on template – goal, architecture, interfaces, risks. 
  • Preparation Build phase: Clarify technical requirements, set up n8n access. 
  • Submission: Agent Canvas before Webinar 2 
Self-study phase
approx. 3 hours
61459975
Module
2

Self-study phase 1

Agent Design & Canvas

  • Finalize scope: Refine and define your own agent design from Webinar 1. 
  • Tool selection: Identify and document relevant tools and APIs for implementation. 
  • Create agent canvas: 1-page concept document based on template – goal, architecture, interfaces, risks. 
  • Preparation Build phase: Clarify technical requirements, set up n8n access. 
  • Submission: Agent Canvas before Webinar 2 
Self-study phase
approx. 3 hours
61460054
Module
3

Build Complex Agent

  • n8n Basics for Agents: Create workflows, set up webhooks, build your first automations. 
  • Tool integration: Integrate external APIs, files, and repositories. 
  • Agentic Orchestration: Incorporate planning steps, sub-tasks, and control questions. 
  • Observing vs. acting: When does the agent intervene—and when does he wait? 
  • Troubleshooting: Logging, monitoring, and typical sources of errors in practice. 
  • Hands-on: Each group builds its agent using at least two external tools – initial demo at the end. 
Webinar
2.5 hours

Thursday, July 9, 2026
, 4:00 p.m. – 6:30 p.m.

61459975
Module
3

Build Complex Agent

  • n8n Basics for Agents: Create workflows, set up webhooks, build your first automations. 
  • Tool integration: Integrate external APIs, files, and repositories. 
  • Agentic Orchestration: Incorporate planning steps, sub-tasks, and control questions. 
  • Observing vs. acting: When does the agent intervene—and when does he wait? 
  • Troubleshooting: Logging, monitoring, and typical sources of errors in practice. 
  • Hands-on: Each group builds its agent using at least two external tools – initial demo at the end. 
Webinar
2.5 hours

Thursday, October 8, 2026
, 4:00 p.m. – 6:30 p.m.

61460054
Module
4

Self-study phase 2

Agent Refinement & Testing 

  • Extend prototype: Add a second function or workflow. 
  • RAG integration: Connect and test knowledge base. 
  • Develop test prompts: Run through and document typical user cases. 
  • Error analysis: Identify edge cases, evaluate logging, derive improvements. 
  • Documentation: Record technical implementation and open issues for webinar 3. 
  • Submission: Working prototype before Webinar 3 
Self-study phase
approx. 3 hours
61459975
Module
4

Self-study phase 2

Agent Refinement & Testing 

  • Extend prototype: Add a second function or workflow. 
  • RAG integration: Connect and test knowledge base. 
  • Develop test prompts: Run through and document typical user cases. 
  • Error analysis: Identify edge cases, evaluate logging, derive improvements. 
  • Documentation: Record technical implementation and open issues for webinar 3. 
  • Submission: Working prototype before Webinar 3 
Self-study phase
approx. 3 hours
61460054
Module
5

Validate & Scale

  • UX & degree of autonomy: How much automation makes sense? Control questions, risk checks, safety loops. 
  • Quality measurement: Establish a KPI system – make accuracy, task success, and time savings measurable. 
  • Benchmarks & Testing: Use test prompts systematically, evaluate results. 
  • Final Build Sprint: Final adjustments, review of success criteria. 
  • Pitch session: Each group presents their agent, including value and learnings.
Webinar
2.5 hours

Tuesday, July 14, 2026
, 4:00 p.m. – 6:30 p.m.

61459975
Module
5

Validate & Scale

  • UX & degree of autonomy: How much automation makes sense? Control questions, risk checks, safety loops. 
  • Quality measurement: Establish a KPI system – make accuracy, task success, and time savings measurable. 
  • Benchmarks & Testing: Use test prompts systematically, evaluate results. 
  • Final Build Sprint: Final adjustments, review of success criteria. 
  • Pitch session: Each group presents their agent, including value and learnings.
Webinar
2.5 hours

Tuesday, October 13, 2026
, 4:00 p.m. – 6:30 p.m.

61460054

Course overview

Contents and course schedule

1. Understanding what really defines an AI agent 

  • Difference between assistant and agent 
  • Orientation & Comparison: Single-Agent, Multi-Agent, and Agentic RAG
  • relevant tools and patterns

2. Making confident architectural decisions 

  • Deep dive into agent architecture: When to use RAG, when to use tools, when to use webhooks—and when to use combinations? 
  • Define agent goals, establish success criteria, incorporate control mechanisms 
  • Systematically finding use cases that fit the architecture 

3. Design context and prompts for agents 

  • Prompt composition, memory strategies, and context engineering in the architectural context 
  • Understanding error susceptibility and setting guardrails 
  • From individual requests to stable agent behavior 

4. Identifying the appropriate business issue 

  • Developing a shared language: problem, process, pain, KPI 
  • Stakeholder analysis: Who benefits, who loses? 
  • Making success measurable: costs, time, error rate, satisfaction 

5. Building agents practically with n8n 

  • n8n basics for agents: Webhooks, external APIs, files 
  • Implement initial tool connections 
  • From concept to working prototype 

6. Orchestrate complex agents 

  • Incorporate planning steps, sub-tasks, and control questions 
  • Observing vs. acting: When does the agent intervene? 
  • Troubleshooting, logging, and monitoring in practice 

7. Measure quality and make it scalable 

  • Establishing a KPI system: accuracy, task success, time savings 
  • Determining the degree of autonomy: How much automation makes sense? 
  • Check go-live readiness 

This is how you learn in this course

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).