Curriculum
Six modules of genuinely useful AI.
Six modules, written for working professionals rather than engineers — about 3 hours of focused, practical material you can work through at your own pace. Each module ends with quick knowledge checks, and everything you study is fair game on the certification exam.
AI Foundations
How large language models actually work, the current model landscape, and the failure modes — hallucination, context limits, knowledge cutoffs — you must watch for.
Advanced Prompting
Write prompts that work: role, context, task and constraints, few-shot examples, step-by-step reasoning, iterative refinement, and the anti-patterns to avoid.
The AI Tool Ecosystem
Beyond chatbots — image, audio and video generation, coding assistants, agents and automation, and retrieval (RAG), plus how to pick the right tool for a job.
AI at Work
Apply AI to real work: writing, analysis, research, meetings, and lightweight automations, with concrete examples across common roles.
Critical Evaluation & Verification
Tell good output from confident-but-wrong output: fact-checking, spotting bias, and sourcing discipline so you can trust what you ship.
Responsible & Professional Use
Use AI responsibly at work: data privacy and what not to paste, copyright and IP basics, disclosure and ethics, and the current regulatory landscape.