AI Agent Development for Software Teams
Problem
Many software teams understand basic LLM prompts but struggle with production-grade integration. Bridging the gap between a chat interface and a functional, scalable AI agent system requires specific knowledge in RAG architectures, vector databases, and observability that most teams haven't mastered yet.
Solution
A highly technical 3-day workshop where your team builds real AI agents. We move past generic APIs to implement Langchain/Langgraph, MCP, and local RAG systems. You don't just leave with knowledge; you leave with functional prototypes and production-ready code.
Agenda
Execution
We focus on building sovereign AI architectures. Whether deploying on local GPU servers or secure private clouds, we ensure your AI agents meet the highest GDPR and EU AI Act standards.
Target Audience
• Software manufacturers wanting to integrate AI into their products.
• Dev teams with Python, API, and Git knowledge.
• Organizations requiring secure, non-cloud dependent AI agents.
ROI & Business Impact
Why Invest?
Massive Dev Productivity
If one developer saves 4 hours per week through better AI workflows, the workshop breaks even in 6 months—realistically, the whole team benefits.
Shorten Time-to-Market
Skip months of trial and error. Go from concept to production-ready AI agent architecture in just 72 hours.
Compliance by Design
Build agents that are legally secure from day one, covering EU AI Act and GDPR requirements without post-launch fixes.
Pricing
Simple, Transparent Investment
FAQ
Common Questions
What technical skills are required?
Is there funding for this?
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