AI320: Recommendation Systems with AI for Ticketing Systems and Customer Support

Training: Artificial Intelligence

Participants receive a practical introduction to building AI-based recommendation systems in support environments. The course covers how large language models (LLMs) capture semantic information and generate solution proposals. It addresses integration into ticketing systems and customer support, practical application scenarios, and development opportunities for efficient support processes.

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Agenda:

  • Introduction
    • Use Case and improvement potential 'Find relevant solutions faster'

 

  • Solution Architecture and concepts
    • Architecture
    • Embeddings
    • VectorDB
    • (Langchain)

 

  • Techniques for automated solution recommendation
    • Based on existing solutions

 

  • Combination of semantic and relational information

 

  • Data analysis and preparation
    • Vectorization of tickets and solutions
    • Structuring of payloads

 

  • Development of a solution recommendation system
    • Practical implementation

 

  • Enhancement potential
    • Monitoring
    • Digital agent

 

  • Closing discussion and questions, how can the learned content be transferred to one's own context?

Objectives:

Utilize semantic embeddings, data analysis and preparation, develop solution recommendation system, identify enhancement potentials.

Target audience:

  • Developers
  • IT Professionals

Prerequisites:

To effectively follow the learning pace and content of the training AI320 AI-powered Recommendation Systems for Ticketing Systems and Customer Support, we recommend prior participation in the following courses:


Alternatively, prior knowledge in the following areas is required:

  • Python programming fundamentals
  • Recommendation systems
  • Prompt engineering
  • Large Language Models

Description:

Machines and equipment are often expensive to acquire and must be amortized through high utilization over time. In support cases, every minute counts. Intelligent recommendation systems can relieve human support staff and quickly provide effective solution recommendations. With large language models (LLMs), semantic information can be effectively captured and analyzed.

The workshop AI320 Recommendation Systems with AI for Ticket Systems and Customer Support presents the implementation of an LLM-based recommendation system in the support environment. Participants learn how AI tools can support classic scenarios such as customer support and how they must be integrated. The course combines theoretical concepts with practical application and shows development potential.

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

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Guaranteed implementation:

from 2 Attendees

Booking information

Price:

450,00 € plus VAT.

(including lunch & drinks)

We are happy to conduct this training as an inhouse session at your location as well, please contact us.

Authorized training partner

NetApp Partner Authorized Learning
Commvault Training Partner
CQI | IRCA Approved Training Partner
Veeam Authorized Education Center
Acronis Authorized Training Center
AWS Partner Select Tier Training
ISACA Accredited Partner
iSAQB
CompTIA Authorized Partner
EC-Council Accredited Training Center

Memberships

Allianz für Cyber-Sicherheit
TeleTrust Pioneers in IT security
Bundesverband der IT-Sachverständigen und Gutachter e.V.
Bundesverband mittelständische Wirtschaft (BVMW)
Allianz für Sicherheit in der Wirtschaft
NIK - Netzwerk der Digitalwirtschaft
BVSW
Bayern Innovativ
KH-iT
CAST
IHK Nürnberg für Mittelfranken
eato e.V.
Sicherheitsnetzwerk München e.V.