AI Literacy 101
What You Need to Know Right Now

AI Literacy 101: What You Need to Know Right Now is a business-first foundation course. It gives professionals a practical understanding of what AI is, how it works, where it helps, where it fails, and what leaders and employees need to do right now to stay credible, useful, and competitive in an AI-shaped workplace.

What this course covers

What AI actually is, including the difference between AI, machine learning, deep learning, and generative AI.
How large language models work, why hallucinations happen, and why confidence is not the same as truth.
What AI does well, what it cannot replace, and where human judgment still matters most.
How to use AI responsibly, including privacy, bias, verification, and safe workplace behavior.
How AI is changing jobs, skills, expectations, and the way companies compete.
What professionals should do now to build fluency, protect their role, and speak intelligently about AI with peers, managers, and boards.

Modules

Module 1: What AI Is — Separate Hype from Reality

This module establishes the foundation. Learners define AI in plain business language, understand the AI family tree, and separate science-fiction myths from real-world tools already embedded in everyday work.

Module 2: How AI Works — Enough to Use It Wisely

This module gives learners a non-technical operating model for AI. It explains what large language models are, how they are trained, and why they can sound polished while still being wrong. The tone is practical: not how to engineer AI, but how to avoid being fooled by it.

Module 3: Capabilities and Limits — Know Where AI Helps and Where It Fails

This module sharpens judgment. Learners see where AI is strong—summarizing, drafting, translation, pattern recognition—and where it remains weak, including common sense, context, accountability, and ethical ownership.

Module 4: Responsible Use — Privacy, Bias, and Safe Behavior

This module covers the behaviors professionals need before AI use scales further. It focuses on what should never be shared with AI, how bias can surface in outputs and decisions, and why responsible use is a business issue, not just a compliance issue.

Module 5: Prompting and Practical Use — Getting Better Output Fast

AI literacy is not just understanding the technology; it is using it better than the average person. This module teaches practical prompting habits so learners can improve output quality, reduce ambiguity, and get more useful drafts, summaries, and analyses without wasting time.

Module 6: AI at Work — Jobs, Skills, and Professional Relevance

This module directly addresses what learners care about most: what AI means for their role. It shows how AI shifts task mix, raises expectations, and changes what it means to be valuable at work. The message is direct: AI may not replace every worker, but workers who use AI well will pressure those who do not.

Module 7: AI and the Business — Strategy, Brand, and Leadership Credibility

This module moves from individual literacy to organizational consequences. Learners see how AI affects company strategy, customer expectations, brand perception, and leadership credibility. It prepares them to participate intelligently in conversations that go beyond tools and into competitive positioning.

Module 8: What to Do Right Now — Your AI Literacy Roadmap

The final module turns understanding into action. Learners leave with a near-term roadmap for building AI fluency, using AI safely, increasing their workplace value, and contributing more credibly to AI conversations inside the company.

Course features

SCORM 1.2 or 2004 Audio Narration Captions Transcript Knowledge Checks Locked Navigation Certificate

Frequently asked questions

Who should take AI Literacy 101What You Need to Know Right Now?

How long does the course take?

About 30 minutes, delivered across 8 modules with knowledge checks.

What does the course cover?

What AI actually is, including the difference between AI, machine learning, deep learning, and generative AI; How large language models work, why hallucinations happen, and why confidence is not the same as truth; What AI does well, what it cannot replace, and where human judgment still matters most; How to use AI responsibly, including privacy, bias, verification, and safe workplace behavior; How AI is changing jobs, skills, expectations, and the way companies compete; What professionals should do now to build fluency, protect their role, and speak intelligently about AI with peers, managers, and boards.

Do learners receive a certificate?

Yes. The course issues a certificate on completion. It ships SCORM 1.2 or 2004 with audio narration, captions, transcript, and runs on the Provisant learning platform.