ChatGPT / Claude
Your core assistants for reasoning and writing.
Skills you'll build
You'll learn how to work with AI confidently, design repeatable prompts, and connect tools into automated workflows that save hours every week.
Prompt engineering fundamentalsAdvanced prompting (role, context, format, multi-step)AI tool selection for real tasksDocument summarisation & research workflowsNo‑code automation (Zapier / Make / n8n)AI agents & custom assistantsContent + ops pipelines (email, docs, CRM, social)Capstone workflow design & documentation
Who this is for
Perfect for founders, marketers, ops teams, students, and anyone who wants to automate work with modern AI tools.
Recommended prerequisites
- Basic computer literacy
- A desire to build practical workflows
Tools you'll use
We focus on the ecosystem you'll actually use in real workflows — then teach you how to connect everything together.
Perplexity
Fast AI-powered research and sourcing.
Notion AI
Notes, docs, and knowledge base workflows.
Canva AI
Quick design and content creation.
Zapier / Make
Connect apps into repeatable automations.
n8n
More advanced workflows (self-hostable).
Learning roadmap
A clear, phase-based path — we intentionally don't show weeks so you can progress at your own pace.
Phase 1 — AI Foundations
Beginner- What AI is (LLMs) and how assistants work
- Key platforms overview: ChatGPT, Claude, Gemini, Copilot
- AI ethics, limitations, and hallucinations
- Set up your toolkit: ChatGPT / Claude / Perplexity and helpful extensions
Phase 2 — Prompt Engineering
Core skill- Anatomy of a great prompt: role, context, task, constraints, format
- Zero‑shot / one‑shot / few‑shot prompting
- Iterating, refining, and building reusable prompt patterns
- Advanced techniques: system prompts, persona/tone control, structured output (JSON/tables)
- Prompt chaining for multi‑step tasks and workflows
Phase 3 — AI Tools Deep Dive
Practical- Writing & content: Claude/ChatGPT, Jasper/Copy.ai, Grammarly, Notion AI
- Creative: DALL‑E/Midjourney/Firefly, Canva AI, ElevenLabs, Runway/Kling
- Productivity & research: Perplexity, NotebookLM, Otter.ai, Gemini in Workspace
- Choosing the right tool for the job (speed, quality, context length, privacy)
Phase 4 — Workflow Automation
Automation- No‑code automation: triggers, actions, and data mapping
- Zapier, Make (Integromat), and n8n (self-hosted) fundamentals
- Connect AI to your apps: Gmail, Slack, Notion, Sheets, CRM tools
- AI agents & assistants: Custom GPTs, Claude Projects, autonomous tasks
- Real projects: meeting/email summaries, research assistant, support bot, document/invoice processing
Phase 5 — Capstone & Career
Job‑ready- Design a complete AI-powered workflow for a real-world problem
- Create a prompt library and document your system clearly
- Present your automation: goals, flow, guardrails, and outcomes
- Career use: CV/LinkedIn positioning, freelancing, staying current with AI updates
Capstone projects (what you can show)
Build automations that demonstrate real value: faster operations, better communication, and consistent execution.
Free guideDocumentationExamples & tutorials
Auto-summarise emails & meetings
- Summaries sent to Slack/Notion
- Action items extracted and assigned
AI content pipeline
- Idea → outline → draft → repurpose
- Scheduling + analytics tracking
Support chatbot (no-code)
- Answer FAQs from docs
- Escalate edge cases to a human
Research assistant
- Collect sources and summarise
- Produce a brief in your template format
Recommended resources
Ready to automate your work with AI?
Share your role and goals — we'll recommend the best track and a first automation project to build.