Organisational AI Enablement
Evidence shows that the most effective AI deployments are ones that empower individual contributors with bricolage tools. This course is designed to empower individual contributors with the most effective tools so that they can assemble their own AI workflows effectively.
Topics Covered
- Treat AI as a thinking partner; better prompts yield better outcomes
- Abundance and context as core prompting principles
- How large language models learn: RLHF, AI feedback, and fairness
- Getting models to reason: chain-of-thought, reasoning models, deep research
- Hands-on practice across OpenAI, Claude, DeepSeek, Kimi, and Gemini
- Working with documents, images, and other file formats
- Meta-prompting and expert personas for stronger analysis
- Using custom instructions to challenge confirmation bias
- Recognising prompt injection and other security risks
- Using Claude skills
- Creating workflows with OpenAI Agent Builder
- Agent Mode
- Automation with auto hotkeys
- Vibe-coding small automations in PowerShell and AppleScript
- Emerging tools, agentic workflows, and the future of work
For questions or inquiries, please email [email protected].