12.05.2026 to 05.07.2026
Classes on Tuesdays from 6:30 p.m. to 9:30 p.m.

• Basics of generative AI
• Core concepts
• Language models (LLMs)
• AI text assistants and their strengths/ weaknesses
• Limitations and risks
• Prompt engineering & workflow design
• Techniques
• Anatomy of effective prompts
• System vs. user prompts
• Structured inputs /outputs
• Anchoring
• Few-Shot prompting
• Developing interactive AI workflows
• Transforming work processes
• Overview of AI tools
• Tool chaining: optimization and transformation of work processes
• Information exchange between AI and conventional tools
• Structuring and effectively implementing multi-level business processes
• Peer review of prompts and results
• AI assistents
• Embeddings and RAG
• Structure and aim of RAG-based architectures
• Embeddings and vector databases in the RAG process
• Indexing and retrieval of own documents
• Development of a specialized chatbot with access to own data
• AI automation with agents
• AI & automation, APIs
• Difference between process automation, AI tools and AI automation
• Rule-based vs. learning-based systems
• Selection process and areas of application
• Interlinking of different tools (REST APIs and webhooks)
• Development of an independent AI agent with its own workflows

What you will learn in this course

• Understanding artificial intelligence - comprehensible and practical
• Fundamentals of AI, machine learning, deep learning, and neural networks
• Recognizing and evaluating AI applications in a business context
• From chatbots to image recognition to predictive analytics
• Realistically assessing the opportunities and limitations of artificial intelligence
• Data protection, ethical aspects, regulatory requirements
• Using AI tools - no programming knowledge required
• Practical use of tools such as ChatGPT, Microsoft Copilot & Co.
• Developing & evaluating use cases
• Creating a concrete AI pilot project for your own area of work
• Think strategically, act operationally
• How to anchor AI sustainably and meaningfully in your company

Practical content with direct application relevance and future-proof skills in digitalization, automation, and AI.

• Grundlagen generativer KI
• Kernkonzepte
• Sprachmodelle (LLMs)
• KI-Textassistenten und ihre St rken/ Schw chen
• Grenzen und Risiken
• Prompt Engineering & Workflow-Design
• Techniken
• Anatomie effektiver Prompts
• System- vs. User-Prompts
• Strukturierte Ein-/Ausgaben
• Anchoring
• Few-Shot-Prompting
• Entwicklung interaktiver KI-Workflow
• Arbeitsprozesse transformieren
• berblick ber KI-Tools
• Tool Chaining: Optimierung und Transformation von Arbeitsprozessen
• Informationsaustausch KI- und herk mmlichen Tools
• Mehrstufige Gesch ftsprozesse strukturieren und effektiv einsetzen
• Peer-Review von Prompts und Ergebnissen
• KI-Assistenten
• Embeddings und RAG
• Aufbau und Ziel RAG-basierter Architekturen
• Embeddings und Vektordatenbanken im RAG-Prozess
• Indizierung und Abruf eigener Dokumente
• Entwicklung eines spezialisierten Chatbots mit Zugriff auf eigene Daten
• KI-Automatisierung mit Agenten
• KI & Automatisierung, APIs
• Unterschied Prozessautomatisierung, KI-Tools und KI- Automatisierung
• Regelbasierte vs. lernbasierte Systeme
• Auswahlprozess und Einsatzbereiche
• Verzahnung unterschiedlicher Tools (REST APIs und Webhooks)
• Entwicklung eines selbstst ndigen KI-Agents mit eigenen Workflows

In 5 modules with approximately 74% practical content, you will learn how to develop individual AI applications, prompts, workflows, and agents and integrate them seamlessly into your business processes. Instead of theory, there are your own projects with real practical benefits.

Ideally, you will have some initial experience with AI tools and a basic theoretical knowledge. Without fundamental prior knowledge of AI, you can expect a steep learning curve at the beginning.

Whether you work in an office, in administration, in customer service, in communications, or in project management: this course will teach you how to use artificial intelligence in your everyday work.

The course is aimed at all employees who:

• work extensively with text, research, planning, or communication
• want to perform their tasks more efficiently, in a more structured or creative way
• want to understand how AI really works—and how it can help in practical terms.

All you need is curiosity—and the willingness to break new ground in your everyday work.

Live Online Training | Digital with HKBiS^LIVE

This course is conducted as an online course via our web conferencing platform HKBiS^LIVE. Participation is supported by all common browsers, including mobile browsers. No software or app needs to be downloaded and installed. Our guarantee: All servers we use to host our conferences are located on our own servers and are fully GDPR-compliant.

The standard price for the participation fee is 2.280,00 EUR. (1.530,00 € with funding)
The invoice will be issued 14 days before the start of the course. For payment in monthly installments at no extra cost please select “Payment by SEPA direct debit” during the ordering process:

Funding for your continuing education

This course can be funded with up to €1,000 through the Hamburg Continuing Education Bonus PLUS. Funding is available for:

• Employees who...
• live or work in Hamburg and/or...
• work at least 15 hours per week in a job subject to social insurance contributions...
• work for a Hamburg-based company with fewer than 250 employees
• Self-employed persons who...
• live and/or work in Hamburg
• pay tax on their income in Hamburg
• have completed the process of setting up their business
• whose self-employment is their main occupation
• The following are also eligible for funding...
• Employees who receive supplementary benefits for living expenses from the Jobcenter can receive support covering up to 100% of their continuing education costs. For more detailed information, please contact your case worker.

We have summarized all the funding options for you here: Funding.

Your CCI certificate

For this course, you will receive a nationally recognized CCI certificate, which you can use to prove that you have undergone further training in this field in a practical and career-oriented manner. To receive the certificate, you must attend at least 80% of the lessons and provide the following proof of performance: Mini Projects

Upon successful completion, you will receive both a digital and a printed CCI certificate that officially confirms your qualification.

This course is part of the CCI certificate course "AI Professional CCI". The AI Professional consists of the courses "AI User CCI" and "AI Manager CCI". Once you have successfully completed both certificate courses, you will automatically receive the "AI Professional CCI" certificate from us.

This course includes several internal project assignments that serve as proof of performance.