AI Workplace Readiness
Your employees are already using ChatGPT, Copilot, and Gemini every day. This course makes sure they use them safely, protecting your data, your reputation, and your compliance posture, while teaching the prompting and automation skills that actually make them faster.
The risk you can't ignore
Every unguided LLM prompt is a decision someone will answer for
LLMs are extraordinary productivity tools, and they fail in ways most employees never see coming. A confident wrong answer, a pasted document that shouldn't have left the building, a biased recommendation, a copyright slip. Legal use isn't the same as safe use, and your AI vendor won't be the one held responsible when something goes wrong. That responsibility lands on you and your company.
Hallucinations
Models invent facts, figures, and citations that read as authoritative. Sent to a client or regulator, the error becomes the employee's, and the company's.
Data exposure & privacy
Pasting contracts, customer records, or source code into a public tool can leak PII and proprietary information that is often stored or used to train other models.
Bias & unexplainable output
When a model's answer can't be explained or traced, biased or indefensible decisions slip through, exactly what auditors, courts, and customers will scrutinize.
IP infringement & deepfakes
Generated text and images can reproduce copyrighted work or fabricate convincing fakes, creating legal and reputational exposure few teams are watching for.
Ethics ≠ compliance
AI can be perfectly legal and still deeply unethical. The two carry different but equally real business consequences, and most staff can't tell them apart.
A moving regulatory target
AI law varies by jurisdiction, industry, and use case, and changes faster than policy can keep up. Staying current isn't optional; it's mandatory.
Why "we're using it legally" isn't enough
The regulatory landscape is fragmented, fast-moving, and unforgiving. The real-world consequences fall into two buckets, and both hit the bottom line.
Legal violations can mean fines, litigation, and even criminal liability.
Ethical violations erode customer trust and, ultimately, revenue.
Regulation varies dramatically by jurisdiction, industry, and use case.
The landscape shifts constantly, so risk often emerges before the rules do.
Why this course
Turn anxious, ad-hoc AI use into confident, accountable use
This isn't a lecture on what to fear. It's practical readiness: your team leaves knowing exactly where the risks are, how to avoid them, and how to get genuinely more done with the same tools, with confidence, control, and accountability.
Recognize risk before it costs you
Spot hallucinations, data leaks, bias, and IP traps in everyday work, and know the safe move each time.
Understand ethics and the rules
Tell the difference between legal and ethical, and grasp the AI laws that actually apply to your business.
Work measurably faster
Learn prompt-writing and task automation with agents that turn hours of busywork into minutes, done safely.
Choose and configure safer tools
Compare popular LLMs and their guardrails, weigh chatbot vs. API, and know when third-party tools reduce risk.
Learn on your own schedule
Short, focused modules let everyone on your team complete the training whenever it fits their day, with no fixed class times.
The curriculum
Three parts: understand the risk, work faster, lock it down
Short, focused modules your team can complete on their own schedule, moving from first principles to hands-on productivity to the controls that keep everyone safe.
AI Foundations & Risk Landscape
Using Generative AI & Agents Effectively PRODUCTIVITY
Approaches to Address Risks
Who it's for
Built for everyone who touches AI at work
Leaders deploying AI or driving AI transformation
Anyone using AI, or planning to, across any department or function, including regulated fields like healthcare, finance, and education
Product leaders managing AI risk
Anyone building or buying AI-powered products
Get your team AI-ready
Tell us a little about your team and we’ll follow up with enrollment, pricing, and scheduling. Takes under a minute.