Career course

Build AI skills you can show through real work.

Build useful AI skills by choosing a real task, defining what a good result looks like and checking the output against that standard. Include review and correction time when judging whether the workflow helps. Start with non-sensitive material you are authorized to use.

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Try a practical exercise

A starting goal

I want to use AI to improve one real workflow in my role, test whether it actually helps, and turn that work into evidence for my next step.

Change any word so it fits your situation. The course is built from what you type and a few setup questions.

A professional reviews an AI-assisted workflow leading to a checked portfolio and career goal. — AI skills **AI skills for career growth**
7 to 30 lessons.

Best for: Career moves
Prerequisites: Basic prompting experience
Course length: 7 to 30 lessons
Pace: Yours. One lesson at a time, as often as you like.
Access: Available on the App Store and Google Play, with an optional early testing list

An original website exercise

Design a fair check for a small AI-assisted task.

Use a fictional task: turn public event details into a short agenda. This exercise plans a comparison; it does not run a model or report a measured AI improvement.

01

Define the output before the prompt

List what must be correct: event time, location, session order and any uncertainty. Keep the public source available to check the draft.
02

Compare complete workflows

If you later test it, record time spent preparing, drafting, reviewing and correcting. Compare against the same task done without AI, with similar quality requirements.
03

Set a usable stop rule

Do not send an unchecked draft. If errors take longer to find and fix than the task is worth, change the workflow or do it manually. Follow your workplace's data and tool rules.

Worked example, not a learner result

Example review checklist: all times match the source; no speaker or session is invented; missing details are flagged; the agenda is readable. A fast draft that fails those checks is not yet a useful result.

Write one error you would need to catch and how you would catch it. These are proposed checks, not a claim that a model passed them or that using AI will improve your career.

Start free in Cadence and describe what you want to learn. Answer the setup questions to create your own course.

Right for now

If any of this sounds familiar, start here.

Every lesson connects to a conversation, decision, or habit you can change between lessons.

You know basic prompting

Move from one-off prompts to a complete workflow with clear human review.

Your role is changing

Map which tasks AI may assist and which decisions must stay human-owned.

You need credible impact

Separate observed evidence from estimates, assumptions, and hoped-for results.

You want a growth plan

Turn one workflow project into a focused 90-day skill roadmap.

Example course outline

One way this course could begin.

The lessons follow a clear sequence, so the next practical move is waiting when you come back.

Task exposure

Choose AI opportunities at the task level instead of making claims about an entire job.

Responsible redesign

Set handoffs, decision rights, exception paths, and safeguards.

Evidence plan

Define quality checks and measures before claiming the workflow improved.

Career proof

Explain the problem, redesign, evidence, limits, and next learning step.

Example course outline 7 to 30 lessons

AI Skills for Career Growth

Lesson 1 Exposure Baseline

Explain the selected workflow's current state and the AI opportunity without promising outcomes.

Lesson 2
AI Exposure Points

Locate where AI could assist, augment, or stay out of the selected workflow.
Lesson 3
Human-AI Boundaries

Set boundaries for judgment, accountability, sensitive data, and irreversible decisions.

Course arc

From vague intention to repeatable moves.

Cadence turns the course into a returnable habit: short lesson, quick check, review, and the next useful step.

01 / 04

Choose the workflow

Record the current evidence and define a bounded AI opportunity.

Redesign the work

Place AI assistance around explicit human inputs, reviews, and decisions.

Test responsibly

Use criteria, safeguards, and a small adoption trial.

Build the portfolio

Write a credible story and sequence the next 90 days.

Example syllabus

Your course is built around your goal.

This outline shows one possible path. Your lessons and course length are created from your request and setup answers.

Module 01

Workflow Exposure And Boundaries

Select one workflow and distinguish suitable AI assistance from human-owned judgment.

Lesson 1 Exposure Baseline
Lesson 2 AI Exposure Points
Lesson 3 Human-AI Boundaries
Lesson 4 Workflow Risk Signals
Lesson 5 Exposure Baseline Review

Module 02

Responsible Workflow Redesign

Redesign the workflow with explicit handoffs, decision rights, and failure controls.

Lesson 6 Redesign The Sequence
Lesson 7 Decision Handoffs
Lesson 8 Redesign Tradeoffs
Lesson 9 Exception Paths
Lesson 10 Redesign Brief

Module 03

Evaluation And Evidence

Define evaluation criteria and separate observed evidence from estimates and assumptions.

Lesson 11 Evaluation Criteria
Lesson 12 Test Cases That Matter
Lesson 13 Evidence Versus Estimates
Lesson 14 Comparable Evaluation
Lesson 15 Evaluation Review

Module 04

Collaboration And Adoption

Design collaboration and adoption steps that make responsible use easier to sustain.

Lesson 16 Safeguard Layers
Lesson 17 Responsible Collaboration
Lesson 18 Adoption Friction
Lesson 19 Small-Scale Adoption
Lesson 20 Safeguards And Adoption Brief

Module 05

Impact And Portfolio Story

Build an evidence-based impact narrative without overstating results or certainty.

Lesson 21 Impact Measures
Lesson 22 Impact Evidence Chain
Lesson 23 Portfolio Story Structure
Lesson 24 Credible Impact Language
Lesson 25 Impact And Story Brief

Module 06

Portfolio Synthesis And 90-Day Action

Integrate the four portfolio parts and set a bounded 90-day improvement sequence.

Lesson 26 Portfolio Architecture
Lesson 27 The 90-Day Sequence
Lesson 28 Pressure-Test The Story
Lesson 29 Portfolio Quality Check
Lesson 30 Four-Part Portfolio

How learning works

Read, listen, check your understanding, then keep going.

Learn at your own pace

Each lesson builds on the one before. Keep going when you want to.

Reading and audio

Read the lesson or play its audio when listening fits your day better.

Checks when useful

Lessons can use quizzes, written responses, or guided practice. A lesson can also teach without adding a forced exercise.

Progress and support

Track completed lessons, keep a streak, set reminders, and ask the in-lesson coach for help.

Know the limits. Cadence supports guided self-learning. It does not award an accredited degree or professional certificate, and important claims in a lesson should be checked against reliable sources.

Free to read first

Guides on the same skill.

Course questions

What to know before you start.

Who is AI Skills for Career Growth for?

Professionals who know basic prompting and want to redesign one role-specific workflow, test it responsibly, and turn the work into credible career evidence.

Do I need any prior experience?

You should know how to write a basic AI prompt. You do not need coding experience or knowledge of a specific AI tool.

How long does the course take?

Most courses run 7 to 30 lessons. Cadence sizes yours after the setup questions, and you choose your pace.

What is the learning format?

Lessons can be read or played as audio. The course includes quizzes or practical checks where the lesson calls for them, plus progress tracking and Ask Coach inside lessons.

Does this course award a certificate or degree?

No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.

Start today

Example first lesson: Exposure Baseline

Get Cadence, type what you want to learn, and answer the setup questions to create your course.