Architect — AI Fluency
Twelve weeks that take you from writing prompts to running autonomous systems in production.
Architect is the whole arc. Twelve weeks, twenty-four live sessions, three finished systems — and a genuinely different relationship with the technology by the end of it.
You begin where everyone begins: prompts, models, and a working agent by the close of the first stage. The second stage makes that agent capable — retrieval, tools, MCP, memory. The third is the part most people never reach: multi-step reasoning, several agents working together, evaluations that tell you whether any of it is actually good, guardrails that keep an autonomous system inside its brief, and finally deployment, so the thing keeps running after you close your laptop.
Each stage ends with a project built across two guided sessions. You finish with three working systems, not three abandoned experiments.
Exam access is included rather than bought separately. Architect is also the tier from which learners are ranked for the Upfyn AI Internship — places there are awarded on merit at the end of the programme, never granted with purchase.
Sessions are taught live on fixed dates, two a week, in a small batch, and your group starts on the date shown at checkout. Covered by a 15-day refund — no questions asked.
What you will learn
- Build practical AI agents from a standing start
- Create grounded workflows with RAG, tools, MCP and memory
- Design multi-step and multi-agent systems that stay observable
- Evaluate what you build and keep it inside safe limits
- Deploy an autonomous workflow that runs without you
- Finish three portfolio-ready AI systems
Syllabus
Month 1 · project: First Line Agent
Foundations, and your first agent
- 1.AI Introduction
- 2.Basics of LLM
- 3.AI Prompt Engineering
- 4.AI Hygiene
- 5.Automation, AI agents and agentic work
- 6.Action Planning
- 7.First Line Agent — project, day 1
- 8.First Line Agent — project, day 2
You ship a working agent, from a standing start.
Month 2 · project: Agentic Workflow
How agents actually work
- 1.Anatomy of Agents
- 2.LLM Preprocessing
- 3.Vector Databases
- 4.RAG Fundamentals
- 5.API Wrappers, Tools, MCP
- 6.Agent Memory
- 7.Agentic Workflow — project, day 1
- 8.Agentic Workflow — project, day 2
You build an agent that remembers, retrieves and uses real tools.
Month 3 · project: Autonomous Loop, deployed
Systems that run without you
- 1.Multi-step Reasoning
- 2.Multi-Agent Systems
- 3.Agentic Frameworks
- 4.Agentic Evaluations
- 5.Safety and Guardrails
- 6.Custom Toolkits
- 7.Autonomous Loop — project, day 1
- 8.Optimise and Deploy — project, day 2
You deploy something autonomous, evaluated and running.