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AI Academy: Comprehensive AI Implementation Program for Organizations

AI Academy is a multi-stage training program that systematically introduces artificial intelligence to organizations – from building awareness among all employees, through specialist paths for individual departments, to advanced implementations for IT teams and digital transformation.

The program addresses the most common challenges organizations face when implementing AI: lack of knowledge about AI capabilities and limitations, concerns about security and ethics, uneven levels of digital competencies, and lack of practical skills in using AI tools in daily work. Each stage of the program is designed to systematically eliminate these barriers.

AI Academy combines theoretical knowledge (AI law, ethics, security) with intensive practice (hands-on workshops with ChatGPT, Claude, Copilot, Midjourney). Participants work on real business scenarios from their departments, ensuring immediate application to daily work. The program is ideal for companies that want to strategically implement AI as a tool for increasing productivity and innovation.

Path 1: Goal

Stage I – Introduction to AI for all employees: security, law, ethics and practical AI applications in daily work.

Rationale

The introductory stage builds a common AI knowledge base across the organization. Employees learn both the capabilities and limitations of AI, how to use AI tools safely, and understand the legal and ethical frameworks. This is the foundation without which further AI implementation will not be effective.

Path 2: Goal

Stage II – Specialist paths: AI for leaders, HR, finance, marketing/sales and operations/project management.

Rationale

Specialist paths allow each department to implement AI in the context of their daily tasks. Leaders learn AI-supported decision making, HR automates recruitment, finance streamlines reporting, marketing creates content, and operations optimize processes. Each group works on scenarios from their area.

Path 3: Goal

Stage III – Advanced AI trainings for IT teams and digital transformation.

Rationale

IT teams and digital transformation leaders need deeper knowledge of AI architecture, AIOps, process automation and AI implementation strategy at organizational scale. This stage prepares for leading AI projects and building internal competencies.

Path 4: Goal

Additional Workshops – Specialist supplementary trainings: Copilot, AI image generation, innovation and automation.

Rationale

Supplementary workshops allow the organization to develop AI competencies in specific areas: productivity with Copilot, visual creation with Midjourney/Stable Diffusion, innovation with design thinking and AI, and process automation. Each workshop can be delivered independently from the main program.

Interested in this path?

Contact us to discuss the details of the training program and tailor it to your needs.

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