AI Ambassador Workshop Series
Build an internal network of experts!
When it comes to introducing AI, preparing employees for the change is far more important than purchasing the tools themselves.
A 6-session, workshop-based program that trains AI Ambassadors within the organization.
Sound familiar?
- Uneven knowledge across teams
- No internal answers to emerging questions
- Resistance and uncertainty
- AI projects dying out or stalling
This training provides the solution to these challenges:
Unified AI mindset
Supported, gradual adaptation
Internal mentors supporting colleagues
Successful AI projects
After the training:
Trained AI Ambassadors support their colleagues.
Faster AI adaptation can be realized within teams.
The organization learns from real business use cases.
Dependency on external consultants decreases.
Continuous knowledge sharing and development become part of the corporate culture.
Who is this training for?
- Key players who do not just want to use AI, but also want to pass on their AI knowledge and become the "AI mentors" of the organization.
- Motivated colleagues - regardless of their department - who see the opportunities inherent in AI and would gladly help others navigate the world of technology.
- Professionals working in digitalization or innovation roles, for whom AI is one of the most important tools for modernizing workflows.
- Team leaders or key personnel who act as the "knowledge centers" of their teams and want to show colleagues how to integrate AI into their daily work.
- "Early adopter" professionals who are already experimenting with AI and want to place their experiences within a structured, corporate framework.
- Those for whom community development is important, and who want to support their coworkers in using artificial intelligence more confidently and consciously.
How does it work?
Participants will work on real problems with real solutions.
Tools:
We work through real-world examples during the training:
- Chat-based AI models (ChatGPT, Gemini, Copilot, Claude)
- Enterprise AI platforms (e.g., agentic solutions)
- No-code / low-code tools
- 6 × 4 óra
- A combination of workshop + coaching + supervision
- Real use cases
- Strong community learning
The world is changing, and so are we. We provide lifetime access to the curriculum, and you will receive every modification, addition, and version update.
What do you get during the training?
- Real business case studies that help you understand how AI works in an actual corporate environment.
- Decision-making simulations where you can test in which situations and based on what aspects it is worth applying AI.
- Concrete corporate use cases that you can directly translate into your own operations.
What will the participants learn during the training?
They will understand what the informal AI mentor role means – what it includes and what it doesn’t – and they will be able to confidently support colleagues with various levels of maturity in AI usage.
They will deepen their knowledge in a chat-based LLM and an enterprise-level AI platform, and become familiar with advanced usage patterns and typical pitfalls.
They will master structured questioning techniques, workshop planning and facilitation, as well as how to effectively handle resistance and uncertainty.
They will learn advanced prompting strategies, how to build prompt-chain-based workflows, and how to develop reusable solutions.
They will design simple AI agents and automated processes using no-code and low-code tools, based on real business problems.
They will plan how to stay up-to-date with the development of AI, and how to build a knowledge-sharing community within the organization.
Why Codecool?
Proven expertise, international background. We are not experimenting with training. Hundreds of our partners have already successfully adapted digital transformation with our help.
- 10 years on the market: A decade of experience in developing technological and digital skills.
- 450+ corporate partners: Startups and multinational corporations alike have already trusted us with training their teams.
- 14 countries: International expertise, which allows us to prepare your employees based on global standards.
- Proven methodology: We do not pass on theory, but rather knowledge that can be immediately utilized in the market, whether it's about AI, data analysis, or software development.