ChatGPT
General reasoning, drafting, and structured tasks with strong ecosystem support.
Application
Apply: AI & Prompt Engineering
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.
Back to track overviewCurriculum
What you will learn
- Prompting fundamentals
- Context design and system thinking
- Problem decomposition and prompt chaining
- Workflows, assistants, and reusable prompt systems
Stack
Tools & skills
Pulled from this track's published outline, the same source as the full track page.
Claude
Alternative models for comparison, tone control, and understanding different safety behaviours.
Gemini
Alternative models for comparison, tone control, and understanding different safety behaviours.
Cursor
IDE-native AI for multi-file edits, refactors, and explanations, you stay responsible for every diff you accept.
Claude Code
Agent-style coding support for larger changes, used with the same review habits, not as a substitute for thinking.
Antigravity
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
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.
Notion AI or equivalent
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.
Prompt libraries
Versioned prompt packs, checklists, and evaluation rubrics so quality stays repeatable across sessions.
templates
Versioned prompt packs, checklists, and evaluation rubrics so quality stays repeatable across sessions.
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