Low-Code AI Development
Build AI workflows, RAG pipelines, and conversational agents in hours using platforms like n8n, Supabase, and Softr.
Master the modern AI development stack, from low-code workflows to AI-assisted coding. Build and deploy AI-powered MVPs 10x faster than traditional development.
A new generation of tools lets you ship AI products 10x faster. But most developers are still building everything from scratch and iterating slowly.
You spend weeks on infrastructure and boilerplate before getting to the actual AI features that matter.
You default to hard-coding everything instead of strategically choosing between low-code, AI-assisted coding, and traditional development.
By the time your MVP is ready, the market has moved. You can't validate fast enough to compete.
Build AI workflows, RAG pipelines, and conversational agents in hours using platforms like n8n, Supabase, and Softr.
Use Cursor, v0, and AI CLI tools to generate, debug, and iterate on full-stack applications 10x faster.
Frame AI products with proper compliance, tech stack selection, architecture decisions, and meaningful success metrics.
Master vector embeddings, context management, and how to connect AI to external data sources and APIs.
Go from idea to deployed, publicly accessible AI application with professional documentation and pitch materials.
Every module, you build something real. By the end, you'll have working AI applications and a complete product ready to show employers or investors.
Master low-code platforms to build AI workflows and agents in hours. Learn RAG architecture, vector embeddings, context management, and how to connect AI to external data sources.
Build and deploy a complete application with integrated AI features. Learn the trade-offs between low-code and hard-coding, implement webhooks, and deploy publicly accessible apps with monitoring.
Master AI-assisted development using cloud IDEs, AI coding assistants, and vibe coding methodology. Learn effective prompting strategies for code generation and leverage Model Context Protocol (MCP).
Frame AI products strategically with compliance, tech stack selection, architecture decisions, and safety guardrails. Learn product framing frameworks and prioritize features effectively.
Design, build, and deploy your own AI-powered application from concept to demo. Apply all techniques from previous modules and create professional presentation materials.
Full-time & immersive courses, running from Monday to Friday, 9am to 6pm
Position yourself for "AI Engineer," "AI Product Developer," and "Full-Stack + AI" roles. These skills are in demand and most developers don't have them yet.
Become the go-to person for AI product decisions. Rapid-prototype ideas, validate them fast, and ship what works.
Validate startup ideas with working AI MVPs before raising money. Go from concept to deployed prototype in days, not months.
Demand for AI product builders and AI engineers in the EU grew 3.5x between 2022 and 2024, outpacing all other tech specializations.
SOURCE: LinkedIn Economic Graph, European Tech Talent Report 2024
Download the full syllabus to see the complete curriculum, and exactly what you'll build across all 5 modules.
Detailed module breakdowns and project specifications
Tools and platforms covered (n8n, Cursor, v0, Supabase, Softr)
Prerequisites checklist and cohort start dates