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Technologies / Artificial Intelligence

ParlAI in creating conversational AI

The training introduces participants to the world of creating dialog systems using the ParlAI framework and the Python language. The program leads from the fundamental concepts of natural language processing to the practical implementation of chatbots and conversational assistants. The class combines theory with intensive workshops, during which participants create their own conversational models, learning from practical examples under the guidance of an experienced trainer.

Issues

  • Dialog systems architecture

  • Natural language processing

  • Managing the context of the conversation

  • Response generation

  • Personalizing the dialogue

  • Support for multi-track conversations

  • Evaluation of dialogue systems

  • Testing chatbots

  • Response optimization

  • Analysis of user behavior

  • Conversation status management

  • Dialogue flow design

Benefits

  • Practical knowledge in the design and implementation of dialogue systems using the ParlAI framework
  • Will develop the ability to create advanced conversational models capable of natural dialogues
  • He or she will learn to implement mechanisms for managing the context and state of a conversation to create more engaging interactions
  • Will learn methods for evaluating and optimizing dialogue systems, enabling the creation of high-quality conversational solutions

Who is this training for?

Python programmers interested in developing dialog systems
NLP specialists looking for new tools
AI engineers working on conversational solutions
Developers of chatbots and virtual assistants
Natural language processing researchers
UX specialists interested in human-computer interaction
Conversational system designers

Prerequisites

  • Knowledge of Python programming
  • Basic knowledge of natural language processing
  • Understanding of machine learning concepts
  • Experience in working with language models

Training program

01

Architecture of the framework

  • Basic components of the system
  • Preparation of the development environment
  • First steps with dialog systems
  • Construction of conversation models
02

Dialogue flow design

  • Implementation of conversational agents
  • Managing the context of the conversation
  • Support for multi-track dialogues
  • Advanced dialogue techniques
  • Personalization of responses
  • Conversation status management
03

Handling ambiguity

  • Generating contextual responses
  • Evaluation and optimization
  • Methods for assessing the quality of dialogue
  • Testing conversational systems
04

Response optimization

  • Analysis of user behavior

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

Who is the ParlAI in creating conversational AI training for?

This training is designed for professionals looking to develop skills in parlai in creating conversational ai. Required level: intermediate.

How long is the ParlAI in creating conversational AI training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Klaudia Janecka
Klaudia Janecka 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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Contact us - we'll prepare an offer tailored to your organization's needs.

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