Learn AI by
building it.
A 12-week applied AI transition residency for senior technology professionals — understand, design, and build AI-enabled workflows using modern AI tools, enterprise platforms, and a domain-specific capstone. An applied residency, not a lecture series.
— Delivery, not attendance, is the metric.
Value comes from systems, not prompts.
Most enterprise AI failures come from data, framing, and governance gaps — not model limits. The residency teaches the systems thinking around AI, not just the tools.
Learning through building
Hands-on labs and a real capstone every participant ships — not lecture-only learning. Delivery is the bar for the credential.
Enterprise AI tooling
Microsoft Copilot Studio and Azure AI Foundry, n8n low-code automation, evals and observability — the platforms enterprises actually run.
Small, mentor-led cohorts
4–5 participants per mentor, batches capped at 10 seats, by design — personalized attention, weekly sessions, and continuous async support.
Senior professionals in transition.
For technology professionals with roughly 12–18 years of experience (flexible for strong candidates) who want to move with AI, not around it.
Typical backgrounds
- Project / Program / Agile / Delivery Managers
- Product Managers, Owners, Scrum Masters
- QA Managers, Test Leads, Quality Engineering
- Developers, Tech Leads, Engineering Managers
- Cloud / DevOps / Infrastructure specialists
- Solution / Technical Architects, Business Analysts
Assumes & expects
- Basic professional technology literacy
- Willingness to experiment and build workflows
- Structural, systems-level thinking
- Not a deep ML-mathematics program
- Not for lecture-only learners unwilling to build
You don’t need to already work in AI to belong here — most applicants don’t. Our first batch was a working mix of mid-career IT professionals making the move, for example:
First batch, anonymised
- Project / Program Manager — 15+ yrs
- QA Engineering Lead — 12+ yrs
- Cloud / DevOps Architect — 14+ yrs
- AI Engineering Manager & Solution Architect — 18+ yrs
Three months, week by week.
Foundations & AI literacy
- Week 1AI reality check & residency orientation — GenAI, LLMs, agents, systems thinking
- Week 2LLM fundamentals, prompting & context engineering (tokens, patterns, tool comparison)
- Week 3RAG, vectors, embeddings & knowledge retrieval (chunking, cost/accuracy trade-offs)
- Week 4AI career impact & domain reframing across PM / QA / DevOps / architecture
Agentic workflows & platforms
- Week 5Agentic AI & workflow orchestration (agents vs chatbots; intro to n8n)
- Week 6Microsoft Copilot Studio & enterprise agent design (topics, triggers, governance)
- Week 7Azure AI Foundry, project structure & evaluations (grounding, faithfulness)
- Week 8Token economics, cost control, MCP & AI architecture patterns
Capstone, governance & certification
- Week 9AI security, prompt injection & governance (leakage, human-in-the-loop, audit)
- Week 10Role-specific labs — PM/Product, QA, DevOps/Cloud, or Software/Architecture
- Week 11Packaging, documentation & professional branding (demo, portfolio)
- Week 12Final showcase & certification defense
Tools & platforms across the program: ChatGPT, Claude, Gemini, Perplexity; Microsoft Copilot Studio & Azure AI Foundry; n8n; VS Code, GitHub & AI coding assistants; Ollama; and evaluation tooling (AI Foundry evals, RAGAS, DeepEval, Playwright).
What you leave with.
You will be able to
- Explain GenAI, LLMs, embeddings, RAG, agents, MCP, observability
- Compare major AI tools on strengths, limits, and cost
- Build AI workflows in n8n and Microsoft Copilot Studio
- Design domain-specific AI workflows for your role
- Identify governance, privacy, security & prompt-injection risks
- Ship a working AI-enabled capstone and present your transition narrative
Certification
- Flexilytics AI Residency for Working Professionals — Certificate of Completion
- Delivery-gated, not attendance-only
- Requires core assignments, at least one hands-on workflow, capstone & final demo
- A professional article / reflection and compliance confirmation
- One standard credential — no tiered levels
Small cohorts. Selective intake.
Because each batch is capped at 10 seats, we run a short application and screening conversation before confirming a seat. Tell us about you.