Programmatic AI agent systems with Claude Code and LangChain

Course

Booking no:

42653

Programmatic AI agent systems with Claude Code and LangChain

This course delves deeper into the structure of AI-based agent systems at the code level. You will develop your own agents using Python, LangChain, and Claude Code, learn how to systematically implement agentic architectures, and understand the differences between these and low-code approaches such as n8n. The focus is on vibe coding, control, extensibility, and the stable operation of agentic systems in a corporate context.

4 weeks

approx. 20 hours

Online

German

Master Class

Date preview

Start date

Last module

Availability

Location

24.8.2026

30.9.2026

Places free

Maximum planning security

Implementation already secured

Hook on!

Next booking secures the
implementation

Live-Online

30.11.2026

22.12.2026

Places free

Maximum planning security

Implementation already secured

Hook on!

Next booking secures the
implementation

Live-Online

Book course individually

Module overview

The following module overview shows dates for the course start on

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Module

Set up technical setup

For support, there is a technical preparation session before the first content-related webinar.

During this appointment, we will work together to:

Claude Code installed
checked the development environment
A first test agent executed

The following requirements must be met in order to participate in this course:

Computer with administrator rights to install software locally
Option to install Claude Code (CLI) locally
Create and configure your own Claude account (API access)
Interest in programming and/or Python
Willingness to complete the technical setup before the course begins

Webinar

1 hour

Monday, August 24, 2026
, 1:00 p.m. – 2:00 p.m.

61459879

Module

Set up technical setup

For support, there is a technical preparation session before the first content-related webinar.

During this appointment, we will work together to:

Claude Code installed
checked the development environment
A first test agent executed

The following requirements must be met in order to participate in this course:

Computer with administrator rights to install software locally
Option to install Claude Code (CLI) locally
Create and configure your own Claude account (API access)
Interest in programming and/or Python
Willingness to complete the technical setup before the course begins

Webinar

1 hour

Monday, November 30, 2026
, 1:00 p.m. - 2:00 p.m.

61459954

Module

Getting started with programmatic agents

Building understanding: Agent ≠ Workflow
Why code is becoming necessary for agents
Introduction to Claude Code and Vibe Coding
Overview of LangChain and basic agentic building blocks

Webinar

3 hours

Wednesday, September 2, 2026
, 9:00 a.m. – 12:00 p.m.

61459879

Module

Getting started with programmatic agents

Building understanding: Agent ≠ Workflow
Why code is becoming necessary for agents
Introduction to Claude Code and Vibe Coding
Overview of LangChain and basic agentic building blocks

Webinar

3 hours

Friday, December 4, 2026
9:00 a.m. - 12:00 p.m.

61459954

Module

Self-study phase 1

Setup, Vibe Coding, and first code agent

Installation and configuration of Claude Code
Python project structure for agents
Vibe Coding: Developing agents together with AI
First simple LangChain agent
Exercise: Building a first single agent in Python

Agents with tools and memory

Tools as Python functions
Memory and state logic
Differences between Tool-Use and State in n8n
Exercise: Extending the agent with tool use and context

Self-study phase

approx. 6 hours

61459879

Module

Self-study phase 1

Setup, Vibe Coding, and first code agent

Installation and configuration of Claude Code
Python project structure for agents
Vibe Coding: Developing agents together with AI
First simple LangChain agent
Exercise: Building a first single agent in Python

Agents with tools and memory

Tools as Python functions
Memory and state logic
Differences between Tool-Use and State in n8n
Exercise: Extending the agent with tool use and context

Self-study phase

approx. 6 hours

61459954

Module

Agent-to-agent communication and role agents

Role-based agents
Communication between agents
delegation of tasks
Live coding: Collaboration between multiple agents

Webinar

3 hours

Wednesday, 16.09.2026
09:00 am - 12:00 pm

61459879

Module

Agent-to-agent communication and role agents

Role-based agents
Communication between agents
delegation of tasks
Live coding: Collaboration between multiple agents

Webinar

3 hours

Monday, December 14, 2026
9:00 a.m. - 12:00 p.m.

61459954

Module

Self-study phase 2

Implement your own agent architecture

Planner–Execute Architecture
supervisor agents
Coordination and condition management
Exercise: Building a simple multi-agent system

Quality, testing, and operation

Error handling and termination criteria
Tests, logging, and simple monitoring approaches
Operation of agentic systems in a corporate context
Human-in-the-loop in the code
Exercise: Deliberately let the agent fail and stabilize them

Self-study phase

approx. 6 hours

61459879

Module

Self-study phase 2

Implement your own agent architecture

Planner–Execute Architecture
supervisor agents
Coordination and condition management
Exercise: Building a simple multi-agent system

Quality, testing, and operation

Error handling and termination criteria
Tests, logging, and simple monitoring approaches
Operation of agentic systems in a corporate context
Human-in-the-loop in the code
Exercise: Deliberately let the agent fail and stabilize them

Self-study phase

approx. 6 hours

61459954

Module

Presentation, comparison, and transfer

Presentation of your own code agents
Architecture comparison: Code vs. n8n
Best practices for productive use
Transfer to the business context

Webinar

3 hours

Wednesday, 30.09.2026
09:00 a.m. - 12:00 p.m.

61459879

Module

Presentation, comparison, and transfer

Presentation of your own code agents
Architecture comparison: Code vs. n8n
Best practices for productive use
Transfer to the business context

Webinar

3 hours

Tuesday, 22.12.2026
09:00 a.m. - 12:00 p.m.

61459954

Course overview

Contents and course schedule

1. From low-code to code: Why programmatic agents are necessary

Limitations of workflow-based agents
Why code becomes necessary for control, extensibility, operation, and agent-to-agent communication
Agents as software architectures

2. Introduction to Claude Code, Vibe Coding, and Python

Claude Code as coding agent and pair programmer
Vibe Coding: Developing agents together with AI
Basic structure of agentic Python projects

3. Implement single agents programmatically with LangChain

LLM, prompt, tool, and memory as building blocks
Single-agent architectures in code
Comparison: the same agent in n8n vs. Python

4. Agent-to-agent communication and role agents

Planner–executor architecture
Role and supervisor agents
Human-in-the-loop at the code level

5. Structured multi-agent architectures

Planner–executor architecture
Supervisor agents for coordinating agent teams
Differentiation from simple decision agents

6. Stable operation of agentic systems

Error handling, termination criteria, and guardrails
Logging, testing, and traceability
Human-in-the-loop at the code level

7. Develop and evaluate your own multi-agent systems

Implementation of a proprietary agent system
Reflecting on architecture and design decisions
Transfer to real business environments

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).