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Technologies / Artificial Intelligence

Building applications using large language models (LLM)

Technical training focusing on integration of LLM with business applications, model fine-tuning, advanced prompt engineering and building AI agents. The program covers comprehensive LLM-based application development and deployment strategies in a production environment. The workshop focuses on practical implementation of state-of-the-art LLM techniques. The application-centered methodology provides ready-to-implement solutions and architectural best practices.

Issues

  • Large language models

  • API integration

  • Engineering prompts

  • Fine-tuning techniques

  • AI agents

  • Conversation design

  • Optimization of models

  • Implementation in production

  • Scalable architectures

  • Cost optimization

  • Security practices

  • Performance tuning

Benefits

  • LLM application development will provide state-of-the-art AI capabilities for business solutions
  • Expertise in fine-tuning will enable models to be tailored to specific domain requirements
  • Implementation of AI agents will open up opportunities for intelligent automation and user assistance
  • Implementation skills in production will provide scalable and reliable LLM-based systems
  • Advanced prompt engineering will increase the relevance and usability of LLM responses
  • Mastery of integration patterns will facilitate rapid development and maintenance of AI applications
  • Technical proficiency in LLM development will provide career opportunities in the fastest growing segment of AI

Who is this training for?

Developers
Solution architects
Full-stack engineers
AI application developers
Technical leads
Software architects
Platform engineers
Integration specialists

Prerequisites

  • Solid experience in software development and API integration
  • Familiarity with cloud platforms and scalable application architectures
  • Ability to work with machine learning models and deployment pipelines
  • Basic knowledge of natural language processing and Transformer architectures

Training program

01

LLM integration architectures

  • API integration patterns
  • Advanced prompt engineering techniques
  • Context management strategies
  • Response optimization methods
02

fine-tuning and model customization

  • Transfer learning for LLM
  • Domain adaptation strategies
  • Parameter-efficient fine-tuning
  • Model evaluation metrics
03

building AI agents and assistants

  • Agent architecture design
  • Tool integration patterns
  • Implementation of multi-step reasoning
  • Conversation management
04

deployment in production environment and optimization

  • Scalable serving architectures
  • Cost optimization strategies
  • Delay reduction techniques
  • Security and privacy issues

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 Building applications using large language models (LLM) we recommend: Solid experience in software development and API integration; Familiarity with cloud platforms and scalable application architectures; Ability to work with machine learning models and deployment pipelines.

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: Developers; Solution architects; Full-stack engineers.

What practical skills will I gain from this training?

You will gain skills in integrating LLMs into business applications, fine-tuning models for domain-specific requirements, building AI agents and assistants, applying advanced prompt engineering techniques, and deploying scalable LLM-based systems in production environments.

What topics does the program cover?

The program covers LLM integration architectures, fine-tuning and model customization, building AI agents and conversational assistants, deployment and scaling in production environments, and advanced prompt engineering strategies.

Can this training be customized for our organization?

Yes, we offer customized versions of this training tailored to your organization's specific needs, technology stack, and skill levels. Contact us to discuss a personalized program.

Bożena Machowska-Worek
Bożena Machowska-Worek 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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Trusted by

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

Interested in this training?

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

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