Trusted by over 100 companies
Yes. Our training programs can be delivered in both synchronous (live with an instructor) and asynchronous (on-demand) formats, depending on your company’s needs.
Turn Generative AI into real productivity for your team
Help leaders and teams use tools such as ChatGPT, Copilot, Claude and Gemini safely, consistently, and effectively. Programs combine practical foundations, on-demand resources, and hands-on workshops based on real use cases, so employees can apply Generative AI directly to daily work.
No technical background required.
- Create safe and consistent access to enterprise Generative AI tools
- Improve performance with practical use of ChatGPT, Copilot, Gemini, and other platforms
- Automate recurring tasks and streamline operational processes
- Reduce waste by selecting the right tools and driving real adoption across teams
+90000
Training hours delivered
+150
Companies Transformed
+50000
Professionals Trained
Generative AI without the right skills does not create value
Without practical skills and clear guidelines, adoption becomes fragmented, tools are used inconsistently, and the organization loses control over risk, quality, and business impact.
- 1
Decisions without context
Teams adopt or evaluate tools without a clear view of capabilities, limitations, risks, and practical use cases.
- 2
Fragmented adoption
Productivity remains limited to a few early adopters while the rest of the organization struggles to use Generative AI effectively.
- 3
Risk and compliance
Without shared guidelines, teams may expose sensitive data, rely on inaccurate outputs, or underestimate privacy, bias, compliance, and ethical implications.
What your company gains with Generative AI
Building shared guidelines and practical Generative AI skills is the foundation for structured, secure, and responsible adoption across the organization. Teams become more productive, tools are used more effectively, and leaders gain better control over privacy, compliance, and output quality.
More informed decision-making
Employees learn to assess Generative AI opportunities, limitations, and use cases, and choose the right tools and methods for different business needs.
Consistent adoption
Management, technical teams, and business teams develop a shared language and common best practices, reducing the gap between early adopters and the rest of the organization.
Fewer risks, more control
Greater awareness of privacy, bias, compliance, and output quality supports safer, more responsible use of Generative AI.
Higher productivity, less waste
Teams learn to use Generative AI effectively in daily work, improving productivity, execution speed, tool selection, and return on investment.
More informed decision-making
Employees learn to assess Generative AI opportunities, limitations, and use cases, and choose the right tools and methods for different business needs.
Consistent adoption
Management, technical teams, and business teams develop a shared language and common best practices, reducing the gap between early adopters and the rest of the organization.
Fewer risks, more control
Greater awareness of privacy, bias, compliance, and output quality supports safer, more responsible use of Generative AI.
Higher productivity, less waste
Teams learn to use Generative AI effectively in daily work, improving productivity, execution speed, tool selection, and return on investment.
IN THE PRESS
Best Ed Tech Solution
Data Masters has been recognized among the best European and Italian companies by multiple internationally prestigious organizations, as the best Italian EdTech startup at the Global EdTech Startup Awards 2025, Top 100 Startups by Forbes, Top 200 Europe EdTech Startups by HolonIQ, and is a partner of leading tech companies such as Google for Startups, AWS Startups, and others.
Tailor-made training to generate real impact
We guide companies in developing concrete skills in Artificial Intelligence, Generative AI, Machine Learning and Data Science, with a structured, measurable and real-world application-oriented approach. From initial assessment to project work: a single platform to support your teams’ growth journey.
- 1
Initial Assessment
We measure the starting level of skills with a data-driven assessment, to define the most effective training plan.
- 2
Personalized Learning Paths
We design and deliver tailor-made courses and paths based on role, level and objectives, to support skills growth over time.
- 3
Ongoing Interaction with Experts
We offer live sessions and dedicated support with expert instructors who guide you step by step through the development of real AI and Data projects.
- 4
AI Literacy Index
An advanced skills measurement system that goes beyond tracking progress, generating strategic insights to segment teams by expertise level, identify internal champions and plan increasingly effective training interventions.
- 5
Project Work on Real Use Cases
We apply the acquired skills to concrete business problems, with projects created by us or co-designed with companies (Training on the Job, GenAI Gym and other formats), to accelerate adoption and develop concrete value.
Bring Generative AI into your company
Define a practical path to improve processes, build internal skills, and create measurable business impact with clear priorities and realistic timelines.
Fill out the form below to schedule an introductory meeting with our experts..
Explore AI learning paths by capability
Modular courses and learning paths, each designed for different roles and experience levels.
AI Literacy
Build AI awareness and shared know-how across your company. Help teams understand key opportunities, tools, and risks through a program designed for all roles.
Generative AI
Develop practical skills for different business roles using ChatGPT, Copilot, Gemini, Claude applied to real-world use cases.
AI & Automation
Learn how to automate business processes using no-code and low-code tools such as n8n, Make, and others, with hands-on exercises based on real workflows.
AI Agents
Develop advanced skills in building agentic workflows with open-source models and leading frameworks such as LangChain and others, through hands-on technical project work.
Data Science & ML
Structured learning paths for technical teams, covering Python, data analysis, AI security, deep learning fundamentals, and Generative AI techniques for developers.