AI+ Agent™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Intelligent agents are fundamentally changing work processes, decision-making, and digital products. The focus is on autonomous, AI-supported systems that plan, execute, and optimize tasks independently. Relevance, practicality, and current developments are the main focus.

Key topics

Fundamentals of modern AI agents and agent architectures.
Interaction of models, tools, and workflows.
Automation of complex processes with AI.
Use of multi-agent systems.
Security, control, and ethical aspects.
Integration into existing IT and business environments.

Prerequisite:
Basic understanding of digital processes and interest in artificial intelligence and automation. Technical depth is helpful but not essential.

Target group
Specialists and managers from IT, digitalization, product management, innovation, and technology-related business roles with a strategic or conceptual focus.

AI agents are considered a key technology for scalable automation and intelligent systems. This knowledge strengthens the ability to evaluate modern AI solutions in an informed manner, use them sensibly, and actively help shape them.

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course content

Introduction to AI agents

Understanding AI agents
Anatomy and ecosystem of AI agents
Applications, Misconceptions, and Small Case Studies
Case study: Transforming customer support at Acme Retail with AI agents.
Hands-on exercise 1: Creating a Q&A chatbot with Gemini + Prompt + LLM Chain in Flowise Cloud.

Core concepts and types of AI agents

Anatomy of an AI agent
Classification of AI agents
Mapping agents to use cases
Case study: Improving mental health support with AI agents at Earkick.
Practical exercise

Tools for non-coders

No-code and visual agent platforms
Overview and setup of the tools
Start building: "Your first flow" with n8n
Case study: Supporting HR with AI – creating an onboarding assistant without programming.
Hands-on exercise

Building simple agents

Agent 1
Agent 2
Agent 3
Agent 4
Debugging and validation of AI agents
Share your AI agent
Practical exercise 1

Multi-tool agents and workflow automation

Multi-tool agents
Agent chaining and workflow basics
Agent status management: state, context, and user journey
Prompt engineering for agents
Multi-agent systems (MAS)
Case study: Smarter marketing campaigns with tool chaining
Practical exercise: Automated order tracking and notifications with Make.com.

Integration, application mapping, and deployment

Use of agents
Channel selection - Where the user will interact
Hosting environment – Where will the agent run?
Data integration
Security setup
Monitoring & Updates
Application mapping
Practical exercise 1: Integrating a Portfolio Assistant chatbot into GitHub Pages with Zapier.

Monitoring, guidelines, and responsible AI

Fundamentals of observability
Performance evaluation: Important metrics
Guidelines: Preventing misuse & ensuring safe outputs
Responsible AI
Mini case study: Failure and recovery in agent operations
Real-world failures
Sharing with Colleagues: How to Present and Discuss Agent Logs/Results.

Capstone project - Development of your own intelligent agent

Capstone Project 1: Intelligent Personal AI Assistant
Capstone Project 2: Smart Lead Engagement—From Email to Personalized Approach—Sales Support Agent.
Capstone Project 3: Educational Tutor Agent
HR Knowledge Bot
Customer Service Agent
Triage Bot for Healthcare

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is AI+ Agent™?

AI+ Agent™ is a specialized certification for developing, deploying, and scaling intelligent AI agents in real-world workflows.

What exactly is an AI agent?

An AI agent is a system that independently plans, executes, and evaluates tasks and interacts with data, tools, or people.

What prior knowledge is useful?

A basic understanding of AI and digital processes is helpful, but programming skills are optional and not a must.

What tools are used in the AI+ Agent™ course?

The course takes a practical approach, working with modern AI and automation tools, including:
ChatGPT/GPT models, LangChain, Auto-GPT concepts, n8n, Zapier, OpenAI API, vector databases, no-code agent builders, and workflow automation tools.

What practical exercises are there?