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AI

AI for Developers

Learn how to use artificial intelligence in the daily work of a programmer.

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Who it's for

Ideal for teams that…

1 Programmers who know at least the basics of Python
2 People interested in using AI in IT work
3 Developers who want to understand the application of AI in programming and process automation
4 People who want to create effective and efficient prompts and cooperate with AI in daily workflow
Outcomes after the program

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

✓

Understand the basics of artificial intelligence and machine learning techniques

✓

Create effective prompts for ChatGPT and other AI models

✓

Use GitHub Copilot to generate code, tests, and documentation

✓

Analyze code and introduce fixes and refactoring with the help of AI

Requirements

What you should know before we start

  • Basic knowledge of programming in Python
  • Interest in AI topics in IT
  • Willingness to learn how to create efficient prompts and use AI tools in practice
Program · 3 modules

What we actually do

Day 1

M01
Day 1
  • · Introduction to AI
  • · Discussion of artificial intelligence and machine learning techniques
  • · Types of tasks, Computer Vision, Natural Language Processing, Generative AI
  • · Language model technologies, LLM, SLM
  • · Availability of GenAI, OpenAI API, open source
  • · Development of ChatGPT
  • · ChatGPT training mechanisms
  • · AI environment, OpenAI API, TensorFlow

Day 2

M02
Day 2
  • · Prompt Engineering (ChatGPT)
  • · Mechanism of data consumption by the model
  • · Interpretation of a prompt by an LLM
  • · Creating prompts from scratch
  • · Best practices and the most common mistakes in prompt creation
  • · Limitations of ChatGPT, hallucinations, prompt and response length
  • · Extended prompt structure, few-shot, chain-of-thought, role-prompting
  • · Supporting the programmer
  • · Business requirements analysis
  • · Generating simple functions
  • · Code correction
  • · Test generation
  • · Documentation generation

Day 3

M03
Day 3
  • · Copilot
  • · Discussion of GitHub Copilot contents
  • · Environment configuration
  • · Basic work with Copilot
  • · Code and test generation
  • · Code analysis, refactoring
  • · Advanced functionalities
  • · Limitations
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

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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