What you'll learn
- Prompt coding assistants effectively
- Review AI-generated code critically
- Spot common AI failure modes
- Use AI for tests, refactoring and docs
- Integrate assistants into a team workflow
- Judge when not to use AI
What the course covers
6 modules · 24 topics, taught in live sessions with your tutor
- What a model does and does not know
- Context windows
- Why it hallucinates
- Capabilities and limits
Requirements
- Working experience as a developer
- Access to an AI coding assistant
- Healthy scepticism
Description
AI assistants change how code gets written, but they do not remove responsibility for it. This course covers getting genuinely useful output, reviewing it critically, and the failure modes that cost teams time.
The emphasis is on judgement: what to delegate, what to verify, and what to write yourself.
Who this course is for
- Developers already using AI tools ad hoc
- Teams setting standards for AI use
- Engineers worried about code quality with AI
Teens & AdultsIntermediate
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Model data for document databases — when NoSQL helps, when it hurts, and how to query it well.
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Database fundamentals (Relational)
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