01
Module
Generative AI Rapid Foundations
LLM essentials, how models think and respond. The C.L.E.A.R. prompt engineering framework. When you need prompting vs when you need agents.
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 advanced programme takes professionals from understanding AI agents through to building live, working automations. It follows a progressive path: no-code tools first, then low-code integration, then full-code agents.
Participants at every technical level can follow along. Day 1 is about thinking and process design. Day 2 is about building with no-code tools. Day 3 is about coding agents and completing a capstone project. Optional lab days (Days 4 – 5) provide extended guided build time for participants who want production-ready solutions.
Every module follows the TEA™ delivery framework: Theory (20%), Examples (20%), Application (60%). By the end, every participant has built a working automation on their own workflow, not a generic demo.
Each module follows the TEA™ framework — twenty percent theory, twenty percent examples, sixty percent hands-on application on your own work scenarios.
LLM essentials, how models think and respond. The C.L.E.A.R. prompt engineering framework. When you need prompting vs when you need agents.
What AI agents are and how they differ from prompts. Agent types: simple reflex, model-based, goal-based. The automation spectrum from no-code to full-code.
Mapping workflows step by step. Identifying automation candidates. Probabilistic vs deterministic processes. Workshop: map a real-world workflow.
Selecting your personal automation project. Defining inputs, processing steps, and outputs. Scoping a realistic 3 – 5 step automation. Peer review and refinement.
Introduction to no-code automation platforms. Guided template build: meeting follow-up agent. Triggers, AI nodes, and document generation.
Conditional logic and branching workflows. Error handling and retry mechanisms. Connecting to APIs and external services. Multi-step automation.
When code beats no-code: the decision framework. Introduction to GitHub Codespaces (zero setup). Building your first code-based AI agent step by step.
Connecting automations to real-world tools. Testing strategies for AI-powered workflows. Security considerations and access controls.
Apply everything learned to your own use case. Choose your track: no-code, low-code, or full-code. Peer showcase and feedback session.
A progressive three-day path with optional lab days. Every participant can follow along at their technical level, and everyone leaves with something deployable.
GenAI foundations, agent concepts, process mapping. Identify and design your automation use case.
Guided template build. Create a working automation that generates documents and updates spreadsheets.
GitHub Codespaces, Claude Code, API integrations. Build code-based agents and complete your capstone.
Extended guided sessions. Build your own bespoke automation end-to-end with expert support.
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.
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.