AI Literacy: How AI Works training

Eight microlessons on how AI actually works, from machine learning and large language models to AI agents, with four short quizzes.

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AI Literacy: Understanding How AI Works course preview
8Short, TikTok-style microlessonsIn the browser or the iOS and Android apps

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About this course

What the AI Literacy: How AI Works course covers

This course is made up of eight short microlessons, built for anyone who wants a solid grounding in AI before using it at work. It covers machine learning, generative AI, large language models, prompt design, probabilistic and deterministic models, AI agents and the difference between generative and agentic AI. It ends with four short multiple-choice quizzes.

Learning outcomes

What your people will be able to do

  • Explain the core ideas behind AI and machine learning
  • Tell generative and discriminative AI models apart
  • Design prompts that steer what generative AI produces
  • Recognize what large language models can and can't do
  • Choose between probabilistic and deterministic models for a task
  • Explain the difference between generative AI and agentic AI
Course contents

8 microlessons

Each microlesson is a short, TikTok-style video lesson, with knowledge checks along the way.

1Introduction to AI & Machine Learning
2Understanding the Generative AI Process
3How Do We Define Generative AI?
4An Overview of GenAI Models
5What Are LLMs?
6Probabilistic vs. Deterministic AI Models Explained
7What are AI Agents?
8What Is The Difference Between Generative AI And Agentic AI?

  1. Introduction to AI & Machine Learning: What AI and machine learning are, and how supervised and unsupervised learning differ.
  2. Understanding the Generative AI Process: How generative models differ from discriminative ones, and where they're used.
  3. How Do We Define Generative AI?: How generative AI is trained, what it's good at and where it falls short.
  4. An Overview of GenAI Models: The main types of generative AI model and how prompt design shapes their output.
  5. What Are LLMs?: What large language models are, how they're used and why prompts matter.
  6. Probabilistic vs. Deterministic AI Models Explained: How AI models make decisions, and which type suits which task.
  7. What are AI Agents?: How AI agents and compound AI systems work, and how they're configured.
  8. What Is The Difference Between Generative AI And Agentic AI?: Generative AI vs agentic AI, and what each means for business strategy.
Audience

Who should take this course

Who it's for

  • Anyone new to AI who wants to understand how it works
  • Teams about to roll out generative AI tools
  • Managers who need to talk about AI with confidence
How it runs in 5Mins

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  • RemindReminders

    Nudges by email, Slack, Microsoft Teams and push until the course is done.

  • ReportTeam Progress Email

    Managers get a regular email with their team's overdue courses and courses due in the next 30 days.

  • EngagePoints and streaks

    Points, streaks and leaderboards keep people coming back to finish.

  • TrackReporting & Insights

    See who has started, finished or is overdue, by person and by team.

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Your questions answered

Questions about AI Literacy: How AI Works training

How long is the AI Literacy: How AI Works course?

It's made up of 8 short microlessons, plus four short quizzes. Learners can finish it in one sitting or spread it over a few days, and 5Mins sends reminders until it is done.

How are learners assessed?

The course ends with four short multiple-choice quizzes on large language models, prompt engineering and chain of thought reasoning.

What does the course cover?

Machine learning, generative AI, large language models, prompt design, probabilistic and deterministic models, AI agents and the difference between generative and agentic AI.

Who should take AI Literacy: How AI Works training?

Anyone who wants to understand how AI works before using it at work, and teams about to roll out generative AI tools.

Can I try the course first?

Yes. Request a free sample lesson and book a short demo with our team. After your demo, we'll share sample lessons with you so you can see the format for yourself.

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