A hands-on programme that takes your team from understanding AI agents to building live, working automations. No-code first, then low-code, then full-code. Every participant leaves with something deployable on their own workflow.
"A failure to claim the 10X boost from AI feels decidedly like a skill issue."
This five-day programme is built for the managers, analysts and specialists who will design, build and run AI agents on their own work. An AI agent is given a goal rather than a question: it works out the steps, uses tools and company data, and produces a finished result. That moves AI from answering to completing work, and it makes automation a practical skill for the people who own the process. The programme follows a progressive path: no-code workflow automation first, then low-code agent building on a visual canvas, then full-code agents built with a coding agent.
Day one establishes how agents work, how to instruct them with the C.L.E.A.R. framework, and how to map a process and scope an automation use case of three to five steps. Day two builds no-code automations with triggers, AI nodes, document generation and spreadsheet updates, and closes with an agent health and reporting dashboard. Day three moves to a visual agent canvas: a document-grounded agent, a triage and routing agent, a planner and executor pair, and guardrails designed into the flow. Day four introduces coding agents and takes each participant through the function lab closest to their own work, where finance, human resources, sales, marketing, operations, customer support, project management and business analysis each have a case carrying realistic ambiguity and planted edge cases, then covers testing, integration, security and observability. Day five evaluates what has been built: metrics, cost, failure modes and allow, block and escalate guardrails, then governance, the AI Review Board, the pilot definition and the capstone.
Every lab runs in a pre-configured environment opened from a browser, with no software to install. Participants choose a visual build track or a coding-agent track, and each lab is verified against fixed acceptance criteria. Participants leave with a working automation built on their own workflow, a reusable instruction library, an evidence pack of traces and metrics, governance starting points, and a ninety-day plan. The programme closes on where agentic AI is heading: context engineering, loop engineering, graph engineering, agentic retrieval-augmented generation, and the Model Context Protocol.
This programme is designed for managers, analysts and specialists across the business functions who want to build and run AI automations on their own work:
Each participant works the function lab closest to their own remit, so a mixed group builds on eight different business cases in the same room.
Each module follows the TEA™ framework, twenty percent theory, twenty percent examples, sixty percent hands-on application on your own work scenarios.
A progressive five-day path. Every participant can follow along at their technical level, and everyone leaves with something deployable.
Agent foundations, the C.L.E.A.R. framework, process mapping. Identify and design your automation use case.
No-code automations with triggers, AI nodes and document generation, then document-grounded, routing and multi-agent flows on a visual canvas.
GitHub Codespaces, Claude Code, integration and security. Build the agent for your own function and instrument it.
Metrics, failure modes and guardrails, the AI Review Board, the pilot definition and your capstone build.
Whatever programme you choose, it follows three proven instructional frameworks, from design to delivery to evaluation.
Our signature approach structures every module into three phases for maximum retention and practical application.
The industry-standard model for course design and learning alignment.
The globally recognised four-level framework for measuring training effectiveness, from initial reaction to long-lasting post-training effects.
Open-enrolment dates below. Need a private session for your team? Schedule a TNA call, custom proposal within 48 hours, delivery in as little as three weeks.
No vendor lock-in, no paywalled materials. Every delegate leaves with the working files, the templates, and the post-programme support to actually use them.
A live, deployable automation built on your own workflow during the programme.
Pre-configured development environment with all tools, templates, and code ready to use.
Frameworks for identifying and designing automation candidates in any department.
Full soft copy of all materials, automation blueprints, handouts, and reference guides.
Certificate of Completion plus a guided step-by-step pathway to the Google Agentic AI certificate.
Post-programme Q&A availability and implementation guidance for your automation.
Delivered at your offices or venue. Maximum engagement for teams of 8 – 20 participants. All exercises use your team's actual work scenarios.
Real-time delivery via Zoom, Meet, or Teams. Interactive breakout rooms, same content depth as in-person. Ideal for distributed teams.
Combine in-person and virtual sessions. Flexible scheduling across time zones. Pre-work materials and follow-up resources included.
104 courses in nine families, overview level, methodology up front.
Join the next open session or book a private programme for your team. Custom proposal within 48 hours. Delivery in as little as three weeks.