AI & Data

Training: Artificial Intelligence in Practice – Generative AI, Responsible AI, and Green AI

The Generative AI and Responsible AI training introduces participants to the world of modern artificial intelligence technologies.

Duration
6h
Who it's for

Ideal for teams that…

1 Developers and IT specialists who want to learn the practical aspects of implementing Generative AI and responsible AI practices.
2 Data analysts and scientists who want to understand how to effectively use Large Language Models (LLMs) and multimodal models in their work.
3 Managers and team leaders interested in implementing responsible and sustainable AI solutions within their organizations.
4 AI enthusiasts who want to gain knowledge about current and future applications of Generative AI and sustainable AI practices.
Outcomes after the program

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

Understand the differences between Generative AI and traditional AI, and the role of data in modern models.

Learn how to implement Responsible AI and Green AI in your work, including in programming projects and team management.

Get to know popular Large Language Models such as GPT and Gemini Pro, and learn their practical applications.

Gain insights into the latest platforms and trends in Generative AI that can help advance your career.

Program · 2 modules

What we actually do

M01
Generative AI
  • · What is Artificial Intelligence?
  • · How does Generative AI differ from traditional AI?
  • · The role of data in the era of Generative AI
  • · What are Large Language Models and how to use them?
  • · The most popular LLMs + hands-on exercises
  • · Generative AI in image processing – Multimodal LLMs
  • · Generative AI for audio data and code generation
  • · Interesting platforms: Gemini Pro, Azure OpenAI, Amazon Bedrock
  • · The future of Generative AI applications
M02
Responsible AI & Green AI
  • · Overview of the 7 Principles of Responsible AI
  • · Discussion of these principles using one of the major platforms (Microsoft, Google, etc.)
  • · How to apply Responsible AI in practice
  • · What is Green AI?
  • · How to implement Green AI in everyday work
  • · How Green AI can be applied by developers vs. managers
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

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.