Highlights
- Build working AI agents during the course, ready to use straight away
- 100% no-code — uses drag-and-drop tools like Make, n8n and Zapier AI
- Learn practical prompt engineering with no technical background required
- Includes a free-choice session to build an automation for your own role
- Small group size (max 12) for hands-on, one-to-one trainer support
- Finish with a personal automation opportunity map for your team
Course Details
What is Agentic AI?
- Chatbots vs. agents vs. automation — understanding the real difference
- What "agentic" actually means in plain English
- How agents plan, act, and remember
- Tools, triggers and actions explained
- Real business examples across industries
- What agents cannot (yet) do reliably
Seeing Agents in Action
- Live demo of a research and summarisation agent
- Live demo of an email triage and drafting agent
- Live demo of a document extraction agent
- Q&A on how each agent was built
The No-Code Agent Toolkit
- Make (Integromat) overview
- n8n overview
- Zapier AI overview
- Connecting to Gmail, Slack, Sheets and Notion
- Triggers, actions and conditions
- Choosing the right tool for the job
Building Your First Agent — Email Summariser
- Setting up a Make / n8n account
- Connecting an email trigger
- Calling an LLM (GPT / Claude)
- Writing an effective system prompt
- Routing output to Slack or Docs
- Testing and debugging the flow
Prompt Engineering for Non-Developers
- Why prompts matter so much
- Role, context, task, format (RCTF)
- Writing system prompts for agents
- Few-shot examples in prompts
- Iterating and testing prompt changes
- Common prompt failure patterns
Building a Research & Briefing Agent
- Web search tool integration
- Chaining multiple LLM calls
- Structuring agent output as a report
- Saving output to Google Docs / Notion
- Scheduling the agent to run automatically
Building a Data Extraction & Routing Agent
- Form and webhook triggers
- Extracting structured data with AI
- Conditional routing logic
- Writing to Airtable / Google Sheets
- Error handling and fallback paths
Responsible Use — Safety & Privacy
- What data is safe to use with AI APIs
- GDPR and personal data in automations
- When human review is non-negotiable
- Hallucination risk in automated pipelines
- Testing before you trust
- Getting IT and security sign-off
Build Your Own Agent
- Individual build time on a real use case from your day job
- One-to-one trainer support
- Peer help and idea sharing
- Troubleshooting and debugging
Who should attend
- Business analysts
- Operations managers
- Marketing professionals
- Project managers
- Consultants
- HR and finance professionals
- Executive assistants and chiefs of staff
- Anyone wanting to automate their work with AI — no programming experience required
Feedback
4.8 out of 5 average
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
