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AI322: Digital Customer Advisor with AI

Training: Artificial Intelligence

Participants receive a practical introduction to building an AI-based digital customer advisor. The course covers architecture, components, product integration, and tools such as OpenAI, Aleph Alpha, VectorDB, and LangChain. It addresses security mechanisms, the development of user intents, assistant skills and actions, as well as the use of vector databases for knowledge retrieval and extension options.

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Possible course languages: German

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Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

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Agenda:

Introduction to digital customer advisor and its purpose, architecture and objectives

Introduction to the course project: Development of a functional prototype of a digital customer advisor

Overview of the tools used
- OpenAI
- Aleph Alpha
- VectorDB
- Langchain

Development of user intents, assistant skills and actions

Setup of the vector database for knowledge retrieval

Prompt engineering for user guidance

Exploration of extension possibilities

Integration of the developed components into an assistant system

Consider security mechanisms and data protection

Discussion about future applications and advanced resources

Objectives:

Understanding of assistant system components, development of a basic assistant, integration of products, security mechanisms.

Target audience:

Developers
IT Professionals

Prerequisites:

To effectively follow the learning pace and content of the training AI322 Digital Customer Advisor with AI, we recommend prior participation in the following courses:

Alternatively, prior knowledge from the following areas is required:

Python programming fundamentals
Recommendation systems
Prompt engineering
Large Language Models

Description:

The constantly growing flood of information can make it difficult for customers to compare products and make the right choice. A digital customer advisor that knows all products precisely, understands queries, makes recommendations and even compares products can provide companies with a unique selling proposition.

In the workshop AI322 Digital Customer Advisor with AI participants learn how such an advisor is built, how it learns about the company's own products and which security mechanisms must be considered. The course covers architecture, components, product integration, various tools like OpenAI, Aleph Alpha, VectorDB and Langchain, the development of User Intents, Assistant Skills and Actions, the setup of a vector database for Knowledge Retrieval and extension possibilities.

We recommend additional participation in the following content-related modules: