How we teach AI
Tools are not enough — what counts is the application.
After the training the team should be able to use AI in its own work, not just know that it exists. That's why every program rests on three things.
Concrete use cases
The program starts by establishing where AI can genuinely help in your company. We practise on the team's own tasks, not on demos found online.
A stack built for production
Commercial and open-source models, vector databases, agents, MLOps. Tools the team will actually maintain after the training.
Safety and compliance
Usage policies, personal data, the risk of hallucinations, response evaluation, AI Act requirements. These topics are present in the programs from day one.
Tool stack
The AI tools we teach.
We work on a real, production stack — from assistants and generators to agent platforms.
AI program catalog
61 AI trainings across 5 areas.
We run every program as a closed training for your team or as a module in a longer development academy.
Most frequently chosen programs
Implementing AI in the organization
For: Managers and team leaders responsible for digital transformation
Artificial intelligence is becoming a key driver of digital transformation in companies.
Prompt Engineering
For: Professionals seeking to boost efficiency with AI models without deep…
The Prompt Engineering training is a practical course that teaches you how to design precise prompts for AI models such as ChatGPT to fully leverage their potential in work automation, data analysis, and creative content production.
Retrieval Augmented Generation (RAG) with LangChain
For: Programmers and AI engineers who want to build RAG applications
The “Retrieval Augmented Generation (RAG) with LangChain” training is an intensive 2–3-day hands-on workshop that introduces participants to building practical RAG systems — advanced applications that combine information retrieval with generative language models.
AI Agents in Practice: Building, Integrating, and Scaling
For: Specialists in automation
The training “AI Agents in Practice: Building, Integrating, and Scaling” is designed for those who want to move beyond basic AI tool usage and start designing advanced automation systems based on AI agents.
Working with the OpenAI API
For: Software developers and engineers who want to integrate AI into their…
The “Working with the OpenAI API” training is an intensive, hands-on course designed to help you quickly and effectively leverage artificial intelligence in business and IT projects.
Using AI Agents: A Practical Workshop for Managers
For: Mid-level and junior managers
Hands-on AI and data analytics workshops — built around your team's real cases.
Method
4 steps from brief to rollout.
Brief and goals
A conversation with leaders: goals, data, constraints, the team's level.
Program
Modules picked from the catalog and adapted to the company's reality.
Delivery
Workshops with a practitioner trainer and exercises on the team's own examples.
Wrap-up
An assessment of the effects, certificates and recommendations for next steps.
What the team gets
A workshop, materials and a plan for the next steps.
- Workshops run by a practitioner who works with the tool day to day
- Exercises and examples set in the context of your industry and processes
- Post-training materials — notes, exercises and a list of tools for further work
- Personalized completion certificates issued once the training is passed
- Recommendations: what is worth deploying first and which competences to develop next
FAQ
Frequently asked
How do I choose the right program for my team?
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It starts with a short conversation — we ask about goals, the team's level and the tools you use. On that basis we propose a program from the catalog or a set of modules drawn from several trainings.
Do we work on my company's data?
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Yes, if that is what you want. We agree the scope of data available during the workshops with the client's IT team and cover it with a non-disclosure agreement. Alternatively we practise on data prepared to resemble your processes.
In what format do you run the training?
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On-site at the client's office or in our rooms, live online (Zoom/Teams), or hybrid. We match the format to how distributed the team is and to the topic — hands-on tool workshops usually work better on-site.
Does the training end with a certificate?
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Yes. Once the training is passed, every participant receives a personalized infoShare Academy certificate stating the scope of the program. In development academies we add levels and a progress summary.
How does pricing work?
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Pricing is individual — it depends on the program, its length, the format and the number of participants. We prepare the proposal and schedule after the brief.
Let's talk about AI in your company
Specifics in 30 minutes.
No sales decks — we'll show you 3 use cases from your industry and an initial program quote.
Thank you!
We'll get back to you within 1 business day with a proposal for your team.
FAQ
FAQ — AI training for companies
Questions that boards and tech leads most often ask before rolling out AI training.
Which AI technologies do you cover?
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The catalog covers 61 AI trainings in these areas: AI, Machine Learning, AI for business analysts, Deep Learning, Digital medicine. In practice: generative AI and prompt engineering (GPT, Copilot), working with model APIs, RAG with LangChain, AI agents, machine learning (scikit-learn, TensorFlow, PyTorch, MLflow, Kubeflow), deep learning (NLP, computer vision, transformer models) and data security in AI projects.
Do you have training for non-technical departments?
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Yes — one-day AI workshops for marketing, sales, customer service, recruitment and graphics, as well as "AI for Analysts: From Data to Decisions" and an introduction to Microsoft Copilot for business departments. No coding required.
Does the training include work on real tasks?
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Yes. The workshops are exercise-driven: participants work on examples set in the company's context. In longer programs, one of the exercises is often building a prototype solution for a selected process.
Do you cover the AI Act and security?
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Yes. Compliance and risk run through the deployment programs, and the catalog also contains trainings devoted to security: "GenAI Secure App Development", "Data security in artificial intelligence projects", "Protecting machine learning models from attacks" and — for healthcare — "AI in Medicine and the AI Act".
How long does it take from brief to the start of training?
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Usually a few weeks — most of the time goes into agreeing the scope and fitting the date to the calendars of the team and the trainer. For urgent requests we look for the trainer's nearest free slot.
Can the training be delivered in English?
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Yes, some of our trainers run sessions in English — flag it in your inquiry and we'll check the availability of the trainer and the materials.