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Technologies / Artificial Intelligence

Creating chatbots in Python

Practical training in the design and implementation of chatbots in Python. The program focuses on creating intelligent conversational systems using modern natural language processing techniques. Participants, through hands-on workshops, will learn methods for building, training and implementing chatbots in a production environment. The classes combine theory with intensive programming and solution testing.

Issues

  • Architecture of chatbot systems

  • Designing conversation flows

  • Natural language processing in chatbots

  • Response generation

  • Managing the context of the conversation

  • Integration with external systems

  • Multilingualism in chatbots

  • Personalization of interactions

  • Testing conversational systems

  • Conversation monitoring and analysis

  • Learning from interaction

  • Optimizing chatbot performance

Benefits

  • The participant will develop practical skills in the design and implementation of chatbot systems
  • He or she will gain the knowledge to create advanced conversational mechanisms tailored to business needs
  • Will learn to implement intelligent dialog systems using the latest NLP technologies
  • Will learn techniques for optimizing and improving the quality of chatbot interactions
  • Will be able to create multilingual conversational systems with advanced personalization
  • Will gain the ability to integrate chatbots with existing systems and platforms

Who is this training for?

Python programmers interested in conversational systems
Web and mobile application developers
Customer service automation specialists
AI engineers working on conversational interfaces
UX designers of dialog systems
Business analysts in chatbot projects
Customer experience specialists

Prerequisites

  • Knowledge of the Python language at an intermediate level
  • Basic knowledge of natural language processing
  • Experience in web application development
  • Understand the basics of machine learning

Training program

01

The architecture of chatbots

  • Designing conversation flows
  • Managing the state of the dialogue
  • Handling the context of the conversation
02

Chatbot implementation

  • Processing user queries
03

Response generation

  • Integration with knowledge bases
  • Handling of intentions and entities
  • Advanced chatbot features
04

Personalization of responses

  • Support for multiple languages
  • Integration with external APIs
  • Mechanisms of learning from interaction
  • Implementation and optimization
05

Testing the chatbot

  • Performance monitoring
  • Conversation quality analysis
  • Continuous improvement of the system

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Creating chatbots in Python we recommend: Knowledge of the Python language at an intermediate level; Basic knowledge of natural language processing; Experience in web application development.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Python programmers interested in conversational systems; Web and mobile application developers; Customer service automation specialists.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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