Generative Artificial Intelligence: Advanced Tools & Future Trends (Gen 2)

The next step after Gen AI 1. Goes deeper into building AI agents and real use cases across different areas of work. For intermediate and advanced users.

Advanced
Graduates of Generative AI Workshop 1

2 x half day workshopPractical training sessions

1-6 people

€900

7-12 people

€1,100

Book a discovery call

Summary

The next step after Gen AI 1, moving from the foundations to real fluency with the newest AI tools and with agents. The first session works through tools you can use straight away, from presentations and Excel to vibe coding and research, and the second moves into personalisation, agents and the no-code tools that run them. You finish knowing which tool to pick for which job, with a working understanding of agents and a roadmap for where to take them next.

Course breakdown

Decision Framework

How to choose the right tool for a task, shown through multi-tool post creation, persona-based summaries and other applications of generative AI tools.

Presentation Creation

Posters and advertising material, analysing an existing PowerPoint deck, and building a new one with AI.

Excel and Generative AI

Gemini and Claude at work in Excel: its main functions, improving a table and building a KPI dashboard.

Tools & Connectors

Connecting AI to your calendar and inbox, from calendar communication to triaging incoming email.

Vibe coding

Building small working things without traditional development, with Claude Code and Artifacts, a job detail page and an interactive game. The risks and how to mitigate them, and why you still need to understand what was built.

Research

A research assistant and a cross-checker, notebooks for multi-report analysis, a meeting-log notebook and the AI Ideas Lab.

Brainstorming

Finding the use case in your own work that is worth taking further.

Personalisation

Custom instructions, memory and the other ways to make a chat work the way you do.

AI Agents and Chatbots

The difference between a chatbot and an agent and which one to pick, with Gemini, Mistral and simulator agents, a personal calendar administrator and other ways agents are used.

AI Agents with Memory

Building databases with AI, a prompt library agent, and ideas for taking a prompt library further.

Agent Mode

A showcase of Agent Mode in Copilot and ChatGPT.

No-Code Tool environment

Building agents without code in N8N and Zapier, with a customer support chatbot and a sales assistant as examples.

Local & code-based Agents

Building agents in code, hosting them in the cloud or locally, and a tiny local agent shown running.

What to do next

Building your own roadmap for what to try after the course.

What you leave with

After the course, you'll be able to:

Choose between a multimodal model and a specialised one for a given job across video, image and voice
Bring AI into the apps already on your desk, including a working vibe-coded prototype
Say what makes something an agent rather than a chatbot, with hands-on Agent Mode, custom GPTs, MCP and APIs