The entry point for every student. Learn how large language models work, master prompt writing techniques, and apply AI tools to real professional workflows — whether you're going into business analysis, development, testing, or any other role. No programming background needed.
What large language models actually do under the hood — context windows, tokens, hallucinations, and why outputs vary. Demystifies AI without jargon.
AI-assisted code generation, debugging, refactoring, and code reviews. Use AI as a pair-programming partner, not a crutch to accelerate your engineering workflow.
Zero-shot, few-shot, chain-of-thought, role-based prompting. Learn the techniques that turn vague AI responses into precise, reliable outputs.
Generate test cases from requirements, design edge-case scenarios, create automation scripts, and produce test reports — with AI handling the repetitive work.
Generate requirements from problem statements, convert meeting notes into structured documentation, create user stories — all using AI, no code needed.
Bias detection, data privacy, hallucination management, and human-in-the-loop principles. Understanding AI's limits is as important as using its capabilities.
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