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AI

Large Language Models

The Large Language Models training focuses on both the scientific and practical exploration of large language models (LLMs).

Duration
16h · 2 days
Who it's for

Ideal for teams that…

1 Software developers and engineers who want to expand their knowledge of language models and learn how to apply them effectively in practice
2 AI and machine learning specialists who want to deepen their expertise in language models
3 Data analysts and data scientists who want to use LLMs for analyzing and processing large text datasets
4 Professionals working with sentiment analysis, natural language processing, and other text-related tasks
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

Preparing text data: Learn how to prepare text data for LLMs, including data cleaning, tokenization, and formatting

Practical implementation of LLMs: Gain hands-on experience in applying LLMs in various use cases, such as text generation and chatbot development

Understanding LLM fundamentals: Acquire knowledge of LLM architecture, functionality, and training processes

Ethics and security awareness: Understand ethical challenges associated with LLMs and learn techniques for securing models against potential risks

Program · 3 modules

What we actually do

M01
Introduction
  • · Fundamentals of text processing and preparing text data
  • · Theoretical overview of Large Language Models (concepts, architecture, training process)
  • · Introduction to LLMs
  • · Applying concepts with basic code examples
  • · Evaluation of model outputs
  • · Case study
M02
Hands-on Work with LLMs
  • · Implementing and exploring real-world LLM use cases such as text generation and chatbots
  • · Adapting pre-trained models to specific use cases and project needs
  • · Tools and frameworks supporting LLMs
M03
Ethics & Security
  • · Ethical considerations in working with large language models
  • · Techniques for mitigating risks and ensuring safe use of LLMs
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

Quote within 48h of the brief
First session within 30 days
Pilot before the full decision
VAT invoice, payment in instalments possible