Core AI Skills Autumn 2026
€ 600
What you'll learn
This course shows professionals how to use generative AI confidently, safely and effectively across the work that fills the working week: proposals, reports, research, client communications and operational documents.
You will move from “I’ve tried it a bit” to confident, capable AI use, with practical patterns you can repeat across your working week.
- Stop guessing at prompts and start getting output you can actually send to clients
- Draft proposals, reports and client communications in minutes instead of hours
- Research competitors, analyse performance data and produce briefings using your own sources
- Build reusable templates and workflows that work across ChatGPT, Claude, Copilot and Gemini
- Know where to trust the output and where your professional judgement is non-negotiable
Who it's for
rofessionals who produce documents, analyse data and communicate with clients, and want AI working on real tasks rather than sitting unused. No technical background needed.
Course structure
Four sessions. Eight hours. Real outputs. Every session follows the same pattern: focused teaching, then hands-on tasks, then group share-back. You spend the majority of each session doing, not watching. Dual screen access is recommended.
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Session 1 · 15 September, 10am-12pm
Setup, safety and first prompts.
Get set up across ChatGPT, Claude, Copilot or Gemini. Learn what can and cannot safely go into AI tools, including client data, commercially sensitive material and personal information. Structured prompting turns vague asks into output you can send to a client, a board or a line manager for sign-off. You write your first prompts for real professional tasks before the session ends.
Session 2 · 16 June, 12pm - 2pm
Content creation and data analysis
Use deep research tools to produce competitor analysis, market briefings and regulatory summaries from public sources. Turn raw notes, meeting transcripts and briefing documents into polished proposals, client reports and executive summaries. Analyse performance data, survey results and operational metrics to surface patterns and recommendations. Every task uses real or synthesised data and runs in the session.
Session 3 · 23 June, 12pm - 2pm
Workflows, content and knowledge bases
Build a content engine that takes one brief and produces a proposal, report, client update and internal summary in a single pass. Create a searchable knowledge base from your own policies, procedures, templates and reference documents so the AI works with your sources, not the open web. Map your workflows to decide where reusable prompts and agents save the most time across your working week.
Session 4 · 30 June, 12pm - 2pm
Hackathon
No new teaching. You bring one real task from your current workload and tackle it with AI. Facilitator-led support, peer learning across a mixed cohort of industries and functions. Everyone leaves with at least one high-value output they can use on Monday morning.
Go further with the AI Institute
Agent build
This course is where it starts, not where it ends. For teams ready to go further, the AI Institute works directly with your function to build automations: reporting pipelines, document assembly workflows, client communication sequences, research and analysis engines. We hand them back through targeted training so your team can run and maintain them without depending on outside support.
”This was my first AI course, and I found it clear, well structured, and easy to follow. The lessons were well organised, and I especially liked the practical examples, as they showed how AI can be applied in real situations, not just theory. I now have the confidence to explore the subject further and the whole experience was very enjoyable. “
About the instructor
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Toby Lincoln
Corporate AI Trainer & Programme Co-Designer
Toby Lincoln is a Corporate AI Trainer and EdTech Content Creator with a D.Phil. from the University of Oxford and 15+ years in higher education. A former Associate Professor at the University of Leicester, he specialises in AI literacy and is highly proficient in leading AI training across platforms such as ChatGPT, Claude, Gemini, and Copilot.
Frequently asked questions
None at all. Our courses are specifically designed for working professionals, executives, and design teams who want practical AI skills, not a computer science lecture.
- If you are taking a Copilot course, basic familiarity with standard Microsoft 365 apps (Word, Excel, Outlook) is all you need.
- For Claude Code, Claude handles the actual coding while you direct it using plain English.
- For visual or industry-specific paths like Nano Banana or Built Environment, we focus entirely on practical workflows, layout options, and project management—never complex programming.
Yes, absolutely. Security and confidentiality are our highest priorities, especially for our AEC and Finance cohorts:
- Data Privacy: Microsoft Copilot and Claude enterprise plans respect your existing corporate IT permissions. The AI only sees data you are already authorized to access, and your inputs are never used to train public models.
- Course Work: Live workshop sessions use anonymized dummy data so you can focus entirely on mastering techniques in a safe environment. You will then be given clear frameworks to confidently apply those exact same prompts to your live, proprietary project files between modules.
The market is flooded with generic "how to write prompts" videos. Our edge is entirely different:
- Live, Expert Facilitation: You are learning in real-time alongside an executive-level peer group, guided by practitioners from companies actively deploying AI in the real world.
- Always Up-to-Date: The second an AI model drops a new feature, we rebuild our exercises. You are getting a cutting-edge playground, not stale theory.
- Workflow Integration: We don't just teach tools in a vacuum; we show you exactly how they talk to your existing ecosystem - whether that’s integrating Claude with Microsoft 365 or feeding Nano Banana concepts downstream into Revit, Rhino, and Photoshop.
