Renkler tuhaf mı görünüyor? Samsung Internet tarayıcısı koyu modda site renklerini değiştiriyor olabilir. Kapatmak için Internet menüsünden Ayarlar → Kullanışlı Özellikler → Labs → Web site koyu temasını kullan seçeneğini etkinleştirebilirsiniz.
Corporate training · RuneLab Academy
The training in which your leadership team treats AI not as a technology topic but as an investment and management decision. Which use case comes first? Build or buy? Every executive leaves with a draft AI opportunity assessment for their own unit.
For executives who make AI investment decisions or prepare them for the board, and who are responsible for a budget and a team.
C-level executives and general managers who want to be clear about how AI ties into company strategy, where to invest and where not to.
HR, marketing, design, production, supply chain and operations leaders who want to turn the AI opportunities in their own units into something concrete.
Teams that prepare the organisation's AI roadmap, prioritise projects and present them to management.
Technical managers looking for a shared language and a shared assessment framework with business units.
The training centres on decisions, not tools. These six questions are answered for your own organisation.
Finding high-value use cases; prioritising them by impact and feasibility.
The build vs buy decision: the criteria for choosing between developing in-house, buying an off-the-shelf product or combining the two.
The data infrastructure and data governance an AI project needs; spotting the gaps early.
Determining the AI readiness level across dimensions such as strategy, data, technology, skills, culture and governance.
Managing workforce transformation, closing the skills gap and building an AI innovation culture.
AI governance, bias, transparency and explainability; data security and regulation.
Seven modules: strategy and governance modules plus function modules focused on HR, design and production.
When an AI approach is the right choice and when classic software is enough; how AI, machine learning and deep learning relate; where we stand today in the narrow AI, AGI and superintelligence debate.
Workshop Every executive identifies the use cases in their own unit.
The organisation's AI readiness level, identifying high-value opportunities, the build vs buy decision and data infrastructure requirements.
Implementation Every executive prepares a draft AI opportunity assessment for their own unit.
What AI can and cannot do today; how to manage workforce transformation; how to build an AI innovation culture and long-term AI governance.
Candidate screening and matching, predictive analytics in workforce planning, reducing bias in hiring; skill gap analysis, attrition models, personalised onboarding.
Workshop Designing an AI-assisted, ethical performance evaluation system.
Generative AI in concept development; on-brand, multilingual content; brand-consistent production with text-to-image, image-to-image and video models.
Case study How brands use AI in their design workflows.
Predictive maintenance, quality control with computer vision, digital twins; demand forecasting, inventory optimisation, supplier risk analytics and logistics route optimisation.
Case study Production efficiency with AI at an automotive manufacturer.
Responsible AI leadership, data governance frameworks, bias, transparency and explainability.
Regulation KVKK (Turkish data protection law) for personal data; the EU AI Act for those offering products or services on the EU market.
The weight of each module, the case studies and the workshops are agreed in the pre-training call, based on your industry and the make-up of your leadership team.
Conceptual sections move forward with case studies and workshops; every executive applies the frameworks to their own unit's agenda.
The draft assesses one opportunity in the unit under five headings; it is concrete enough to be put up for discussion at a management meeting.
At your office or as part of your leadership offsite; workshops are run face to face.
For leadership teams with busy calendars the programme can be split into short live sessions.
Workshops on-site, conceptual modules online.
Every participant receives a RuneLab Academy certificate of attendance. On request, the training is run together with Boğaziçi University Lifelong Learning Centre and the certificate is issued with BÜYEM endorsement.
No; no code is written. Concepts are explained at the level needed to make decisions, with business examples. Your team's AI knowledge may be at different levels: in the workshops every executive works on their own unit, so everyone moves forward from their own level; technical managers are welcome too.
AI Awareness gives all employees a shared vocabulary and safe-use habits; AI in Business Processes puts the tools into teams' daily work. This training is for decision makers: which project to invest in, build vs buy, data readiness, workforce transformation and AI governance.
Yes. The function modules cover HR, design and content, and production and the supply chain. Executives from other functions take part in the strategy, AI readiness, build vs buy and governance modules in the same way; in the workshops and in the draft AI opportunity assessment they work on their own unit's scenario.
The duration is planned in the pre-training call, according to your leadership team's calendar and the modules you want to emphasise. The programme can run in one go on an intensive schedule or as sessions spread over several weeks.
Yes. In a short pre-training call we learn about your industry, your priorities and the make-up of your leadership team; we prepare the case studies, the workshops and the weight of the function modules accordingly.
No; real company data is never entered into any tool. The workshops run on your own units' scenarios, without sharing data. The principles for using data in AI projects and tools are covered in the “Data governance and AI ethics” module.
The draft assessments prepared by the executives form a starting list for your organisation's AI roadmap. If you wish, we can deepen this list with the AI Readiness Analysis and continue with hands-on trainings for your teams.
The training is delivered by senior AI engineers and data scientists who run AI projects and consult for organisations at RuneLab. You hear about build vs buy, data readiness and risk from people who have made these decisions together with organisations.
We prepare a quote for your organisation based on the number of participants, the format and how much the content is tailored. Fill in the form and we will get back to you within one business day.
Tell us the number of participants, your preferred format and dates; we will get back to you within one business day.
