Domain AI courses built around the work you actually do — teaching the architectures that fit, the design patterns to use, and exactly the AI tools each ecosystem needs. Plus tools for managers. Join any waitlist below and you'll be first in.
For C# / .NET engineers who want to add real AI features to enterprise applications — the way a professional .NET team would actually ship them, not toy demos.
Architectures
Clean / layered architecture for AI features
Where AI calls belong in an ASP.NET Core app
Background jobs & queues for agent work
Keeping AI services testable & swappable
Design patterns
Strategy & Adapter for model providers
Repository pattern for embeddings / RAG
Retry, timeout & circuit-breaker for reliability
Dependency injection for AI services
AI tools you'll use
Semantic Kernel
Azure OpenAI / OpenAI .NET SDK
Vector stores (Azure AI Search, Qdrant)
MCP for tool connections
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Coming soon
AI for Java Developers
For Java / Spring engineers bringing AI into enterprise systems — fitting it cleanly into the architectures and patterns Java teams already trust.
Architectures
AI features in a Spring Boot / microservices setup
Layered & hexagonal architecture for AI
Async & event-driven agent workflows
Scaling AI calls without blocking threads
Design patterns
Factory & Strategy for model selection
Facade over AI/agent libraries
Resilience: retry, fallback, bulkhead
Config-driven prompts & templates
AI tools you'll use
Spring AI
LangChain4j
Vector databases (pgvector, Qdrant)
MCP for tool connections
🟦
Coming soon
AI for SAP Consultants
For SAP consultants and developers bringing AI into the SAP landscape — with integration architectures and safe patterns for sensitive enterprise data.
Architectures
AI integration via SAP BTP
Where AI fits around S/4HANA processes
Side-by-side extensions (not core changes)
Secure data flows for enterprise info
Design patterns
Integration & adapter patterns for SAP APIs
Grounding AI on SAP data safely (RAG)
Human-in-the-loop approval patterns
Auditability for enterprise compliance
AI tools you'll use
SAP Generative AI Hub
Joule & SAP AI Core (BTP)
OData / API integration for grounding
Vector stores for SAP document RAG
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Dedicated track
AI for Software Architects
A separate, senior-level track for architects and tech leads responsible for designing AI-ready systems across a whole organisation — technology-agnostic, decision-focused.
Architecture decisions
Designing AI-ready system architectures
When to use LLMs, agents, or plain code
RAG vs fine-tuning vs prompting trade-offs
Data, privacy & residency for AI
Patterns & trade-offs
Patterns for LLM & agent workloads
Cost, latency & scaling trade-offs
Safety, guardrails & evaluation by design
Vendor lock-in vs model-agnostic design
Tooling landscape
Choosing frameworks (LangGraph, SDKs)
Vector database selection
Observability & evaluation tools
MCP & standards for interoperability
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Free beta soon
SmartPrompt for Managers
Not a course — a toolkit. AI tools for team leads, managers and senior leaders that understand your meetings, your reports, and your team. No technical background needed.
What it helps with
Meeting summaries & action items
Performance review drafts
Strategy & planning documents
Status & risk reports
Built for you
No coding or prompting skill required
Ready-made templates for manager tasks
You review & edit — AI does the first draft
Understand what your tech team is building
Plan
Free beta at launch
Pro tier for advanced tools
Early-access members shape the features
Join the waitlist below
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Be first in line
Drop your email and we'll notify you the moment any of these launches — with an early-bird discount for waitlist members.
✓ You're on the waitlist! We'll email you at launch.