Enterprise AI Literacy

Overview

Enterprise AI Literacy focuses on what every professional needs to work well alongside AI. You will work through an AI touchpoint inventory, ten everyday tasks…

What you will learn

  • Explain AI, machine learning, and generative AI in plain business language (Module 1).
  • Prompt an AI assistant effectively for writing, research, and planning (Module 2).
  • Verify AI output for accuracy and bias and decide when not to use AI (Module 3).
  • Apply data handling rules and recognize AI-enabled security threats (Module 4).

Prerequisites

  • Required: None. No technical background and no prior AI use. Access to any AI assistant [free tier acceptable, confirm].
  • Helpful: Nothing beyond everyday computer use.

Curriculum

  1. Module 1: AI Fundamentals for Everyone

    • Topics: AI, machine learning, and deep learning; generative AI and large language models; common myths; embedded AI in business software; assistants and copilots; automation and agents.
    • Deliverable: Touchpoint inventory. Completion check: Module 1 assessment.

    Hands-on:

    • Practice: AI in My Day. Inventory and classify AI touchpoints in your tools.

  2. Module 2: Working with AI Assistants

    • Topics: Clear, contextual requests; iterating on answers; choosing the right tool; writing and summarizing; research and learning; brainstorming and planning.
    • Deliverable: Task log. Completion check: Module 2 assessment.

    Hands-on:

    • Practice: Ten Tasks, One Hour. Ten everyday tasks rated for quality and time saved.

  3. Module 3: Judging AI Output

    • Topics: Hallucination and confidence; verification habits; sources and citations; recognizing bias; editing and improving output; when not to use AI.
    • Deliverable: Fact-check log. Completion check: Module 3 assessment.

    Hands-on:

    • Practice: Fact-Check Challenge. Verify AI-generated statements and document fixes.

  4. Module 4: Data, Privacy, and Security

    • Topics: Confidential and personal data rules; approved vs unapproved tools; retention and sharing; AI-enabled phishing and deepfakes; prompt injection basics; reporting incidents.
    • Deliverable: Scenario decisions. Completion check: Module 4 assessment.

    Hands-on:

    • Practice: Safe Use Scenarios. Twelve workplace scenarios decided and justified.

  5. Module 5: AI Across Business Functions

    • Topics: Sales, marketing, and service; finance, HR, and operations; IT and engineering; task suitability criteria; value and effort assessment; pilot thinking.
    • Deliverable: Opportunity map. Completion check: Module 5 assessment.

    Hands-on:

    • Practice: Opportunity Map. Five prioritized opportunities in your function.

  6. Module 6: Responsible and Ethical AI

    • Topics: Fairness, transparency, and accountability; human oversight; explainability; global AI regulation overview; company AI policy; disclosure and attribution.
    • Deliverable: Policy review. Completion check: Module 6 assessment.

    Hands-on:

    • Practice: Policy in Practice. Apply a company AI policy and recommend improvements.

  7. Module 7: Automation, Agents, and the Future of Work

    • Topics: Workflow automation; AI agents; human-agent collaboration; skills that grow in value; personal learning plan; role evolution.
    • Deliverable: Skills plan. Completion check: Module 7 assessment.

    Hands-on:

    • Practice: Personal AI Skills Plan. Ninety-day plan for your role.

  8. Module 8: Leading and Participating in AI Change

    • Topics: How AI initiatives run; roles for business users; giving useful feedback; overcoming resistance; measuring value; sharing practices.
    • Deliverable: Pilot proposal. Completion check: Module 8 assessment.
    • Capstone (independent work, [CAPSTONE_HOURS] hours): Present an AI opportunity for your role: a prioritized use case, a demonstrated workflow using an AI assistant, a risk and policy check, and a ninety-day adoption plan.

    Hands-on:

    • Practice: Pilot Proposal. One-page proposal with success measures.

Course fee

$699 $399

What's included

  • Live cohort + recordings: Attend every session live and revisit the recordings for one year.
  • Real lab environment: Practise on a hands-on environment that mirrors real projects.
  • Live doubt-clearing support: Ask questions and get answers in real time during every session.
  • Assessments and lab activities: Apply what you learn through graded assessments and guided labs.
  • Learning assets: Keep the slides, notes, and reference material for good.
  • Role-readiness guidance: Mentor guidance to get you ready for the role you are targeting.
  • Verifiable certificate: Earn a shareable certificate on completing the hands-on capstone.
  • Global peer community: Learn with a global cohort and stay connected after the program.

In short

Enterprise AI Literacy is a 24-hour instructor-led course covering Module 1: AI Fundamentals for Everyone, Module 2: Working with AI Assistants, Module 3: Judging AI Output. It includes guided practical labs.

Key facts

  • Course: Enterprise AI Literacy
  • Duration: 24 hours
  • Modules: 8
  • Format: instructor-led live training

Frequently asked questions

I have never used AI. Is this for me?

Yes. The course assumes no prior AI use and no technical background.

Which AI tool do I need?

Any major assistant. [Confirm whether free tiers are sufficient.] Your organization's approved tool is preferred where you have one.

Is this a technical course?

No. There is no coding, no data science, and no model building. For the technical foundation, see AI/ML & Generative AI Fundamentals.

How is this different from Prompt Engineering for Business Teams?

That course is a deep skill-building program on prompting. This course covers the full picture: concepts, safe use, judgement, opportunities, ethics, and change.

Does it cover our company's AI policy?

In the public course, Module 6 uses a sample policy. In corporate delivery, your own policy is used.

Can managers and individual contributors take it together?

Yes. Exercises are role-adaptive; each learner works on their own function and role.

What do I keep?

A touchpoint inventory, task log, fact-check log, scenario decisions, opportunity map, policy review, skills plan, and pilot proposal.

Is a corporate version available?

Yes, including organization-wide rollouts.

Topics covered

Enterprise AI Literacy, Artificial intelligence, Corporate training