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Lesson 1 of 6
Digital · Guided lesson

Find the right work for AI

Select tasks where AI can increase speed or quality without creating unacceptable risk.

About 24 minutes Finish with a concrete deliverable
Google CloudAI and Machine Learning with Google CloudYouTube
Course primer

AI and Machine Learning with Google Cloud

From Google Cloud. Watch here or open it on YouTube .

Use the course video's examples to separate generative drafting from authoritative decision-making; select a task where you already understand the desired result.
Before you begin

What this lesson is really solving.

Map the task before choosing the tool. Good early candidates are frequent, text-heavy, reversible, and easy for you to assess. Avoid automating a poorly understood process or a high-stakes decision simply because it consumes time.

Why this works

Understand the idea before touching the steps.

AI is a probabilistic collaborator: strong at transforming patterns, weak as an unquestioned source of truth.

Do this

Follow these steps in order.

Take the action in each step; then use the deliverable below to prove the lesson is finished.

  1. 1

    List recurring tasks and score each for frequency, time cost, error consequence, data sensitivity, and ease of checking.

  2. 2

    Prioritize reversible work with clear inputs and outputs: drafting, summarizing provided text, classification, ideation, and first-pass analysis.

  3. 3

    Keep final authority with a qualified human for legal, medical, financial, safety, hiring, or high-impact decisions.

  4. 4

    Define success before prompting: format, audience, evidence standard, constraints, and review owner.

Worked example

See the standard in context.

A community manager chooses weekly meeting-note cleanup, not final moderation decisions. The task has a stable input, clear output sections, low cost of correction, and an expert reviewer. Success means a usable draft in ten minutes with every action item traceable to the transcript.

Quality check

Inspect before you move on.

  • The task has a named owner and definition of done.
  • Potential harm, sensitivity, and reversibility are rated before use.
  • You can recognize a bad result without asking the same model to judge itself.
Make it real

Your deliverable

A ranked task inventory with three low-risk workflows selected for testing.

Common mistake

Watch for this

Choosing a flashy task that is rare, hard to verify, or too risky to delegate.

You’re ready when

Prove it—don’t just recognize it.

You can explain why each chosen workflow is valuable, checkable, and allowed.

Objective evidence · 3 questions

Quick knowledge check

Answer from the lesson—not from confidence alone. Score at least 2 of 3 to unlock completion.

Not yet passed

This curriculum-aligned check is scored automatically and stored with your account when signed in. It is an objective learning signal, but it has not yet been independently validated as a standardized assessment.

1Which action belongs in the recommended process for “Find the right work for AI”?
2Which result is the clearest evidence that this lesson’s work is complete?
3Which choice matches the failure this lesson specifically warns against?
0 of 3 answeredEach question measures the action, evidence, or failure condition taught above.
Useful for this course

Tools, templates, and references

The Life Starter toolkitReusable planners and trackers for practical projects.
Check current detailsReferences reviewed September 9, 2026. Lesson exercises are editorial synthesis; official rules come from the linked sources.
NIST — AI Risk Management FrameworkOpenAI — Prompt engineering guide
1
One check remains

Pass the knowledge check above first.

Completion unlocks after a score of 2 out of 3. Then confirm that you produced the lesson deliverable.

Go to the knowledge check