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GENAI TRAININGS: FROM THE BASICS TO SPECIALIZATION

Learn how to use GenAI effectively

You want to use GenAI more effectively in your organization or prepare your team for the next steps? Our training courses show you what you need for your role – from the fundamentals to Copilot, governance, RAG, agentic AI and AI-supported development.

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You build on a solid foundation

You understand what productive AI solutions depend on – from data, infrastructure and security to RAG, agentic AI, Microsoft Foundry, Power BI and Fabric.

You create clarity

You see how Responsible AI, governance, the EU AI Act, tool selection and use cases fit together – and how to turn them into a clear roadmap for your organization.

YOU BRING AI INTO DAILY WORK

You learn how GenAI, Copilot and AI-supported ways of working can help teams in practical ways – with knowledge, processes, collaboration and recurring tasks.

GenAI Trainings by ALTYCA

GenAI does not just change individual tasks. It changes the way people work. To turn it into more than a series of experiments, you need orientation: Which use cases are worth pursuing? Which rules apply? Which tools fit? And what does it take – technically, organizationally and culturally – for AI to be adopted in a meaningful way?

Our training courses give you exactly this knowledge: role-based, practical and aligned with the tasks you actually need to solve – as a developer, business user or organization. The courses are modular and guide you step by step from the basics to specialized topics. You can choose individual modules or combine them into complete learning paths for specific roles.

Our certifications

Microsoft Certified Trainers (MCT)

All ALTYCA trainers are Microsoft Certified Trainers. This is more than just an official "piece of paper": to achieve this status, trainers must demonstrate deep technical Microsoft expertise, hold a qualifying Microsoft certification and prove that they can teach knowledge professionally.

For you, this means you do not simply learn from people who "know" Power BI, Fabric, Azure or GenAI. You learn from proven experts who master Microsoft technologies, can explain them clearly and stay continuously up to date.

Microsoft Solutions Partner for Data & AI (Azure)

ALTYCA is a Microsoft Solutions Partner for Data & AI. This matters for our GenAI training courses because AI does not work in isolation. It needs data, platforms, security, governance and people who understand how everything fits together.

This is the perspective we bring into our training courses: from Copilot and Microsoft Foundry to RAG, agents and Fabric, as well as Responsible AI, the EU AI Act and enterprise adoption. You learn GenAI not as a standalone tool, but as part of a Data & AI landscape that needs to be secure, purposeful and usable.

Training Modules

Developers

You build AI solutions or want to better understand the tools and platforms behind them. These training courses cover the technical foundations you need – from Microsoft Foundry, GitHub Copilot and AI infrastructure to RAG, vector databases, agentic AI, security, Power BI and Fabric.

Modules:
MS Foundry Fundamentals · GitHub Copilot Essentials · AI Infrastructure · Copilot Studio for Developers · RAG & Vector Databases · Agentic AI & Orchestration · AI Security & Defense · GitHub Copilot Advanced · AI Driven Power BI Developer · AI Driven Fabric Engineer · AI Driven Fabric Admin

Business

You want to use GenAI and Copilot effectively in your daily work. You learn what GenAI can do, how to develop better prompts and working methods, and how AI can support tasks, processes and collaboration in concrete ways.

Modules:
GenAI Fundamentals · Copilot Fundamentals · AI-Powered Workplace · Copilot Studio for Business

Organisation

You want to embed GenAI in your organization in a sustainable way. These training courses help you think through AI strategy, governance, legal requirements, tool selection, change, adoption and value measurement.

Modules:
Responsible AI & Governance · AI Strategy & Use Cases · EU AI Act · AI Change & Adoption · AI Tool Evaluation · AI Value Measurement · AI Knowledge Management