Your beginner roadmap

A Practical Path from First Setup to Confident AI Use

Prepare your device and accounts carefully, progress through the course, and continue building useful AI habits after class.

Before the course

Prepare in Four Manageable Steps

You do not need specialist equipment or paid AI subscriptions. A safe setup, one useful goal, and a willingness to practice are enough to begin.

  1. Before starting

    Choose one useful goal

    Begin with a real task instead of trying to learn every AI product.

    • Write down one task you want to understand, improve, or complete.
    • Identify what a good result would look like.
    • Remove confidential or sensitive information from anything you plan to use.
    • Review the beginner terminology and safety guidance in Resources.
  2. Prepare your computer

    Make practice easy and accessible

    A dependable setup reduces distraction during guided exercises.

    • Use a current web browser and install available device updates.
    • Check your keyboard, screen, audio, charger, and internet connection.
    • Set browser zoom, captions, screen-reader, or other accessibility preferences.
    • Create a folder or document for prompts, notes, source links, and reflections.
  3. Create AI accounts carefully

    Wait for confirmed tool instructions

    Tool and account requirements will be shared before enrollment; there is no need to purchase a subscription now.

    • Use only official provider websites or app stores.
    • Review age requirements, terms, privacy controls, and data settings.
    • Use a unique password and multi-factor authentication when available.
    • Do not connect work, school, or personal files unless you have permission and understand the settings.
  4. Your first week of practice

    Build a small, repeatable habit

    Short, careful practice is more useful than collecting many tools.

    • Try one low-risk prompt using a goal, context, constraints, and format.
    • Save the prompt and note what changed after a follow-up question.
    • Verify at least one claim against an original, reliable source.
    • Record one useful result, one limitation, and one question to bring to class.

During the course

Progress from Foundations to Independent Practice

The eight modules are organized into four practical phases. Each phase ends with something you can explain or demonstrate.

FoundationModules 1–2

Understand and recognize AI

Build a plain-language model of AI and identify where it appears in daily life.

Milestone: Explain an AI example, its purpose, and one limitation.

Everyday useModules 3–4

Prompt and improve

Use AI for a practical task, give clearer instructions, and refine an output.

Milestone: Complete a useful draft or plan and explain the revisions you made.

Control and safetyModules 5–6

Map actions and manage risk

Explore workflows and agents while applying privacy, accuracy, bias, and oversight checks.

Milestone: Mark the human approval points in a simple AI-assisted workflow.

Apply and continueModules 7–8

Use the full process

Connect AI skills to changing work, complete a guided scenario, and plan continued practice.

Milestone: Finish a task using the plan–prompt–check–improve process.

After the course

Turn New Skills into Reliable Habits

Continued learning works best when you repeat useful tasks, keep evidence, and review your process as tools change.

Repeat one task

Use the same workflow several times and note where it saves effort or introduces risk.

Build a prompt library

Keep only prompts you understand, label their purpose, and record when they should not be used.

Review monthly

Check provider changes, privacy settings, source quality, and whether your process still works.

Share responsibly

Explain both the useful result and the human checks when helping someone else learn.

Recommended continued learning

Build Depth One Level at a Time

These levels describe a sensible progression, not a promise that every future course is currently available.

  1. Level 1

    AI Foundations

    Strengthen core concepts, prompting, verification, privacy, and responsible everyday use.

  2. Level 2

    AI Productivity

    Practice repeatable support for writing, planning, research, study, and organization.

  3. Level 3

    AI for Business

    Explore appropriate uses in operations, communication, customer service, and decisions.

  4. Level 4

    AI Automation

    Learn how workflows, integrations, and agents work with clear permissions and approval points.

  5. Level 5

    AI Leadership and Governance

    Develop skills for risk, policy, security, evaluation, and responsible adoption.

Take the Next Action

Use the free Resources hub to prepare, review the complete beginner course, or ask the academy about a learning need.