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Computer Science

AI Literacy for the Modern Workplace

Curated and verified byRoger Chen, Software Engineer, Meta
Study time: 10 hours
LanguagesEnglish · 简体中文 · Español
$6.00Lifetime access
Certificate of completionverifiable · shareable
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AI showed up in your inbox, your documents, and your meetings whether you asked for it or not. Knowing how to actually work with it — not just poke at it and hope — is fast becoming as basic a skill as email once was. This is the course for the professional who never got the manual. You'll come away understanding what these tools really are and why they behave the way they do, how to pick the right one for a job, how to ask for what you need and get it, and — the part that separates confident users from reckless ones — how to verify a result before you put your name on it. Responsible use is treated as part of the craft, not a footnote: what's safe to share, who's accountable when it's wrong, and where the real risks hide. No coding, no math, no jargon — and no need to chase every new release, because what you build here is the judgment underneath the tools, not tricks that expire with the next model. By the end, AI stops being a black box you half-trust and becomes something you can confidently direct.

Lessons

About the course creator

Roger Chen
Roger Chen
Software Engineer, Meta

For Roger, the interesting part of artificial intelligence begins after the experiment succeeds. His work has involved turning research prototypes into dependable software: packaging language and vision models behind production APIs, building distributed data and feature pipelines, automating training and deployment, and monitoring accuracy, latency, drift, and infrastructure cost once systems are live. He has contributed to recommendation engines, document-understanding tools, forecasting services, and generative-AI applications using Python, C++, PyTorch, cloud platforms, and containerized infrastructure. Equally comfortable profiling an inference bottleneck, reviewing model behavior with data scientists, or explaining tradeoffs to a product team, Julian specializes in closing the distance between a promising model and a product people can actually rely on.

Reviews (9)

4.4 out of 5
  • Mike

    Learned a lot while sitting on toilet :)

  • José

    I like the short lessons

  • Catherine

    Thanks for make it friendly for ADHD people like me

  • rustic_fencer

    Too basic, expected more depth.

  • frosty_dove

    很好