Explain AI in plain language
Distinguish predictive AI, generative AI, ordinary automation, and the role of machine learning.
This complete course and its certificate are free. No account, email, or payment required. Team plans add assignments, tracking, and bulk exports.
BEGINNER WORKPLACE AI LITERACY
Understand AI.
Use it responsibly.
Give employees a practical starting point: what artificial intelligence is, where they encounter it, what familiar tools and AI agents can do, where the technology can fail, and how people remain accountable for workplace use.
LEARNING OUTCOMES
A shared AI baseline for the whole workforce.
No technical background is required. Employees learn durable concepts and practice ordinary workplace decisions without being asked to become data scientists, lawyers, or security specialists.
Notice where AI appears
Recognize chat assistants, embedded copilots, AI-enabled applications, model platforms, APIs, and agents.
Understand capabilities and limits
Identify useful tasks while remembering that fluent output does not guarantee truth, currency, fairness, privacy, or permission.
Use the workplace safeguards
Choose approved tools, minimize data, prompt with boundaries, verify important output, limit agency, and retain human responsibility.
COURSE CURRICULUM
What artificial intelligence is
AI as a family of technologies; predictive AI, generative AI, machine learning, automation, and the limits of human-like language.
Where employees encounter AI
General assistants, workplace copilots, embedded application features, commercial and open model families, cloud services, and APIs.
What AI can and cannot do
Drafting, summarizing, translating, extracting, classifying, generating media and code, identifying patterns, and the need for qualified review.
Chatbots, copilots, and AI agents
How conversational answers differ from in-application assistance and systems that plan steps, use tools, access information, and take actions.
Practical workplace use
Approved tools, sensitive information, bounded prompting, verification, bias, intellectual property, prompt injection, impersonation, and reporting.
Scenario-based assessment
Twelve server-selected questions covering the full baseline, followed by a named, versioned certificate for passing organization-assigned learners.
Scope: This is general workplace AI literacy training. Organization-specific policies, approved tools, contractual requirements, regulated obligations, and role-based procedures still govern each learner’s work. Provider examples are descriptive, not endorsements.
BUILD THE SHARED AI BASELINE
Clear concepts.
Practical decisions.
Launch AI Literacy Fundamentals with one organization training link and keep attributable completion evidence.