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.
Empower technical teams to design and deploy AI Agents in production
Advanced learning paths for developers and technical teams working with agentic applications, RAG, MCP, and LLM-based systems. Build the capabilities needed to design, integrate, and deploy secure AI agents that work with company data, infrastructure, and knowledge bases.
- Upskill and reskill technical teams driving AI development inside the company
- Build advanced AI solutions with RAG, LangChain, MCP, and reliable agentic frameworks
- Design agentic systems that connect to company data, knowledge bases, tools, and workflows
- Bring prototypes into production with the right approach to infrastructure, LLM selection, security, evaluation, and continuous improvement
+90000
Training hours delivered
+150
Companies Transformed
+50000
Professionals Trained
Advanced AI skills are becoming a competitive requirement
Without the ability to design, integrate, and govern agentic AI systems, companies risk leaving productivity, innovation, and competitive advantage on the table.
- 1
Technical capability gaps
Teams lack the specialized skills needed to build agentic workflows, RAG systems, integrations, and production-ready AI applications.
- 2
Prototypes that never scale
AI agents often remain in experimental environments because they are not connected to enterprise data, infrastructure, security, and operating processes
- 3
Governance and reliability challenges
As AI systems become more autonomous, companies need clear standards for evaluation, monitoring, compliance, and responsible use.
What your company gains with AI Agents
A technical team trained in RAG, MCP, and agentic systems can design more advanced solutions and integrate AI agents into business software with greater control. This capability helps companies enhance existing systems, build AI-native applications, and keep pace with emerging technologies while addressing critical factors such as infrastructure, security, reliability, and LLM selection.
Stronger architectures and technical decisions
Teams develop practical criteria to evaluate use cases, limitations, architectural trade-offs, frameworks, models, and infrastructure choices, leading to more robust and sustainable agentic systems.
More effective integration and adoption
The company builds a shared technical foundation for developing and maintaining agentic applications that work with internal tools, APIs, data sources, and systems, reducing fragmentation and dependence on isolated implementations.
Less risk, more control
Teams gain greater awareness of security, privacy, compliance, reliability, supervision, and system limitations, applying best practices for safer production use.
More value from data and operational ROI
Teams apply RAG, MCP, and agentic workflows to real use cases, making better use of company data and knowledge. Prototypes become useful solutions that improve development speed, execution quality, and continuous improvement over time.
Stronger architectures and technical decisions
Teams develop practical criteria to evaluate use cases, limitations, architectural trade-offs, frameworks, models, and infrastructure choices, leading to more robust and sustainable agentic systems.
More effective integration and adoption
The company builds a shared technical foundation for developing and maintaining agentic applications that work with internal tools, APIs, data sources, and systems, reducing fragmentation and dependence on isolated implementations.
Less risk, more control
Teams gain greater awareness of security, privacy, compliance, reliability, supervision, and system limitations, applying best practices for safer production use.
More value from data and operational ROI
Teams apply RAG, MCP, and agentic workflows to real use cases, making better use of company data and knowledge. Prototypes become useful solutions that improve development speed, execution quality, and continuous improvement over time.
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 AI Agents 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.