Treat AI like a craft: clearer prompts, better context, and workflows you can repeat. For people who want reliable help from models, not magic answers from a chat box.
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Large language models only look smart when you give them the right instructions and the right background. This track is about that craft: how to prompt, how to shape context, how to break a problem into steps a model can handle, and how to fold tools into a real week of work. We use mainstream assistants such as ChatGPT, Claude, and Gemini, optional coding helpers where they fit, and light documentation habits so good prompts survive past Tuesday. The skills transfer across roles. We stay honest about limits: no placement hype, no pretending models replace judgment.
Developers, marketers, designers, writers, analysts, anyone whose work can benefit from AI tooling used intelligently.
If the output you get from AI tools feels generic or unreliable, this track addresses why, and how to fix it.
People who want to systematically integrate AI into their process rather than using it ad hoc.
Organised into modules that build on each other. The content is structured, not arbitrary.
This track is not “write one prompt and hope.” You learn how serious teams use AI today: tight instructions, engineered context, structured reasoning, bounded agent-style steps, and workflows you can review, across ChatGPT, Claude, Cursor-class tools, and whatever ships next month.
Clear asks, real constraints, and iteration, not magic phrases.
What you load into the system usually matters more than clever wording.
Break work so models succeed on bounded slices, and you can audit the path.
ChatGPT, Claude, Cursor, Antigravity, and peers, as stages in a system, not a slot machine.
We stay tool-agnostic on purpose: interfaces change; the underlying habits, context, decomposition, verification, are what make output reliable.
Model-agnostic habits with the same interfaces professionals already pay attention to, plus documentation patterns that survive tool churn.
General reasoning, drafting, and structured tasks with strong ecosystem support.
Alternative models for comparison, tone control, and understanding different safety behaviours.
Alternative models for comparison, tone control, and understanding different safety behaviours.
IDE-native AI for multi-file edits, refactors, and explanations, you stay responsible for every diff you accept.
Agent-style coding support for larger changes, used with the same review habits, not as a substitute for thinking.
Agent-first IDE workflows for multi-step tasks, treat every proposal as a diff you own, with the same review and rollback habits as other assistants.
Jira-style boards for issues, owners, and delivery rhythm; Notion AI (or peers) for summaries, meeting notes, and lightweight databases that stay organised as prompts evolve.
Jira-style boards for issues, owners, and delivery rhythm; Notion AI (or peers) for summaries, meeting notes, and lightweight databases that stay organised as prompts evolve.
Versioned prompt packs, checklists, and evaluation rubrics so quality stays repeatable across sessions.
Versioned prompt packs, checklists, and evaluation rubrics so quality stays repeatable across sessions.
Paid subscriptions are optional. Free tiers are enough to practise the core skills; principles transfer when vendors ship new features.
Not self-paced video content. A structured programme with real outputs and structured feedback.
Every concept is applied immediately on actual tasks from your domain or a structured brief, not abstract exercises.
Understanding AI limitations is as important as knowing its strengths. Sessions include critical evaluation of AI outputs.
Content is structured to apply to developers, marketers, designers, and other professionals alike, with role-specific examples.
Realistic, honest expectations. The track gives you foundation and practice. What you do with it determines what comes next.
Reliable, high-quality AI output across ChatGPT-class tools and optional Cursor / Claude Code / Antigravity workflows where relevant
Documented prompt templates and workflows you can apply immediately
Understanding of when and how to integrate AI into different kinds of work
A skill that compounds as AI tools continue to evolve
Track-specific answers: prior knowledge needed, what you build, tools used, and how to get started.
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