DIGIPRENEUR NETWORK / LEARNING RESOURCE
The AI Literacy
Baseline.
Five courses. A practical foundation.
Learn to understand AI, question it and put it to work.
A free, beginner-friendly learning pathway designed to give you the foundational AI knowledge you need for work, business and everyday life.
01 / THE LEARNING PATH
One path.
Five clear steps.
This is not a collection of random AI courses. It is a structured learning pathway designed to move you from understanding AI to applying it in real work.
These courses are designed as a pathway. Each one strengthens a different part of your AI literacy.
Google / Understand AI
Introduction to Generative AI
Your starting point for understanding what Generative AI actually is.
Open course 01Google account for progress and your badge.
OpenAI Academy / Communicate with AI
AI Foundations
This course teaches you how to communicate with AI more effectively and improve the quality of the results you get back.
Open course 02Sign in to OpenAI Academy to enroll. A ChatGPT account is needed for practice.
IBM SkillsBuild / Build AI literacy
AI Literacy
This course moves beyond basic AI usage and helps you understand how AI systems work, where they fit and how people can collaborate with them more effectively.
Open course 03IBM asks you to sign in or register before opening this learning plan.
Microsoft Learn / Become AI fluent
AI Fluency
This course strengthens your AI fluency by combining practical AI usage with critical thinking, responsible use and an understanding of how AI is changing work.
Open course 04Open the learning path, then select Start. Sign in to track progress.
OpenAI Academy / Apply AI to real work
Applied AI Foundations
This is where you move beyond using AI occasionally and begin thinking about how it can become part of your normal way of working.
Open course 05Complete AI Foundations first. Sign in to OpenAI Academy to enroll.
02 / KNOW WHAT YOU’RE WORKING TOWARD
What you’ll take
from each course.
Understand the purpose of each step, what you should know and what you should be able to do when you finish.
Choose a course to explore its learning outcomes.
Introduction to Generative AI
Explain what generative AI is — and where it can help.
Explore the outcomes COURSE 02OpenAI AcademyAI Foundations
Give clearer instructions and improve the answer you get back.
Explore the outcomes COURSE 03IBM SkillsBuildAI Literacy
Recognize useful AI applications and the human role in them.
Explore the outcomes COURSE 04Microsoft LearnAI Fluency
Use AI with stronger judgment, verification and responsibility.
Explore the outcomes COURSE 05OpenAI AcademyApplied AI Foundations
Turn a recurring task into a repeatable, reviewed workflow.
Explore the outcomesCOURSE 01 / Google
Introduction to Generative AI
Explain what generative AI is — and where it can help.
Why this course matters
Start with the language and concepts you need for the rest of the pathway. Understand what these tools are doing before you depend on their answers.
What you should know
- The difference between AI, machine learning and generative AI.
- What makes generative AI different from systems that classify or predict.
- Common ways people use generative AI to create and work with information.
What you should be able to do
- Explain generative AI to someone without a technical background.
- Recognize a task where generating or adapting content could help.
- Compare how two tools explain the same concept and notice differences in their answers.
PUT THE LEARNING INTO PRACTICE
A practical finish line.
Open ChatGPT and Gemini and ask both to explain the same concept at three levels: child, beginner and professional.
A plain-language explanation of generative AI, plus a comparison of the explanations you received from two tools.
COURSE 02 / OpenAI Academy
AI Foundations
Give clearer instructions and improve the answer you get back.
Why this course matters
Build the habits that make AI useful: a clear task, relevant context, review and refinement. Move from asking a vague question to working toward a useful result.
What you should know
- How instructions, context and examples shape an AI response.
- Why the first output is a starting point that needs your review.
- Where responsible use and human judgment fit into an everyday AI task.
What you should be able to do
- Turn a real task into a clear prompt with enough context.
- Review the response against your goal and identify what is missing.
- Refine the instructions and produce an improved final output.
PUT THE LEARNING INTO PRACTICE
A practical finish line.
Take one real task from your life or work and complete it using AI from beginning to final output.
One real task completed with AI, showing your initial prompt, the changes you made and the final result.
COURSE 03 / IBM SkillsBuild
AI Literacy
Recognize useful AI applications and the human role in them.
Why this course matters
Look beyond the chat window. Understand how AI systems learn and improve, and how to decide where human–AI collaboration could be useful in your own work.
What you should know
- At a foundational level, how AI systems learn and improve.
- How people and AI can contribute different strengths to a task.
- Why an AI use case needs evaluation rather than an assumption that it will work.
What you should be able to do
- Identify three tasks in your job, studies or business where AI could assist.
- Explain what the AI would contribute and what a person must still do.
- Describe what a useful result would look like for each task.
PUT THE LEARNING INTO PRACTICE
A practical finish line.
Identify three tasks in your current job, studies or business where AI could assist you.
A shortlist of three possible AI use cases, with a clear human responsibility and a way to judge the result for each.
COURSE 04 / Microsoft Learn
AI Fluency
Use AI with stronger judgment, verification and responsibility.
Why this course matters
Connect practical AI use with critical thinking. Become more confident in deciding when to use AI, how to question an answer and what must be checked before acting.
What you should know
- How generative AI and prompting relate to everyday productivity.
- Why plausible AI answers can still need verification.
- How responsible AI use and human judgment matter as work changes.
What you should be able to do
- Question an AI-generated answer instead of accepting it automatically.
- Check important claims against reliable external sources.
- Decide what to use, revise or reject and explain your reasoning.
PUT THE LEARNING INTO PRACTICE
A practical finish line.
Take one AI-generated answer and deliberately verify its claims using reliable external sources.
The lesson: AI can assist your thinking. It should not replace it.
An AI-generated answer annotated with the claims you checked, the sources you used and your final decision.
COURSE 05 / OpenAI Academy
Applied AI Foundations
Turn a recurring task into a repeatable, reviewed workflow.
Why this course matters
Bring the earlier skills together. Move from isolated prompts to a repeatable process in which AI has a defined job and human review remains part of the work.
What you should know
- How a recurring task can be broken into inputs, steps and outputs.
- Where AI assistance can fit into a workflow.
- Why review points and a clear definition of a useful output are necessary.
What you should be able to do
- Choose a recurring task and map its current steps.
- Identify where AI can assist and where a person must review or decide.
- Create a practical workflow plan you can try and improve.
PUT THE LEARNING INTO PRACTICE
A practical finish line.
Choose one repetitive task from your work, studies or business and map how AI could assist.
A workflow map: input → AI task → human review → output, with a clear description of the result you need.
Use these outcomes to guide your learning and practice. Course providers set their own completion and assessment requirements.
03 / PUT YOUR LEARNING TO WORK
Learn it once.
Test it twice.
Do not complete these courses without actively using the tools. The courses teach the concepts. The platforms help you turn those concepts into skill.
Whenever you learn a new technique, test it on at least two different AI platforms.
Practice on something real.
The fastest way to build useful AI skill is to apply what you’re learning to problems, tasks and workflows that already matter to you.
Start with something real → Use AI to assist → Review the result → Improve your process
Student
Use AI to understand something you’re actually studying.
Employee
Use AI on a real work task.
Business owner
Use AI to investigate a real business problem.
Manager
Use AI to improve an actual workflow.
Creative
Use AI inside a real production process.
Educator
Use AI to improve an actual lesson or learning resource.
04 / THE BIGGER PICTURE
Why this baseline
matters.
You don’t need to become an AI expert. But in 2026, everyone needs a baseline level of AI literacy.
WATCH THE CONVERSATION
Missed the segment?
Watch the replay.
This learning resource was introduced on The Digipreneur on CNC3 Morning Brew as a call for a national baseline of AI literacy and AI skills.
The conversation explains why individuals, businesses and organizations need to stop treating AI literacy as an optional technology skill — and start treating it as a foundational skill for the modern world.
Watch on YouTube opens in a new tabWho is this for?
THE AI LITERACY BASELINE
AI is becoming part of how we learn, work, build businesses, make decisions, communicate and create.
That means basic AI literacy cannot belong only to programmers, developers or people working in technology.
It is becoming a baseline skill for everyone.
WHO SHOULD COMPLETE THE BASELINE?
Students
Preparing for a workforce where AI will be embedded into everyday work.
Job seekers
Building the AI literacy increasingly expected across the modern job market.
Employees
Learning how to work alongside AI and improve productivity, research and everyday execution.
Managers & leaders
Understanding what AI can — and cannot — do for their teams and organizations.
Business owners
Learning where AI can improve operations, marketing, research, customer experience and decision-making.
Entrepreneurs
Understanding how AI can help them build, operate and scale more effectively.
Creatives
Learning how AI fits into modern content, design, video, audio and production workflows.
Educators
Understanding the technology students, institutions and workplaces are increasingly using.
Public-sector workers
Building the literacy needed as AI becomes part of modern institutions, public services and administration.
It doesn't matter what you do.
Your industry may be different. Your job may be different. Your business may be different.
But the starting point is the same: become AI literate.
Access is not the same as literacy
WE STARTED USING AI BEFORE WE LEARNED AI
We were given access to ChatGPT, Gemini, Copilot and other AI tools before most of us received any formal education on how to actually use them.
We learned by experimenting, watching videos, copying prompts and figuring things out as we went.
Access is not the same as literacy.
We used extraordinarily powerful technology for extraordinarily basic things.
BETTER GOOGLE
EMAIL WRITER
CAPTION GENERATOR
IMAGE GENERATOR
RANDOM QUESTIONS
There's nothing wrong with using AI for any of these things. The problem is stopping there.
What most people were never taught.
How AI works
How to communicate with it
How to evaluate its answers
How to use it responsibly
How to apply it to real work
Powerful technology.
Basic usage.
LITERACY.
Why businesses need a baseline
WHY BUSINESSES AREN'T GETTING THE FULL VALUE
Companies are buying AI licences, giving teams access to powerful tools and telling employees to “use AI.”
But simply putting ChatGPT, Copilot, Gemini or another AI platform into someone's hands does not automatically make them good at using it.
Software access does not equal skill.
Access gives you the tool. Capability creates value.
ACCESS
- Buy the licence
- Create the account
- Give employees access
- Tell the team to use AI
CAPABILITY
- Understand what AI can do
- Give effective instructions
- Evaluate outputs critically
- Integrate AI into real workflows
The AI adoption problem isn't only a technology problem. It's a skills problem.
Advanced tools. Basic usage.
Writing emails
Useful, but still only scratching the surface of what AI can contribute to everyday work.
Summarizing documents
Helpful productivity gains without fundamentally changing how work gets done.
Generating content
Faster output, but often without better research, strategy or decision-making behind it.
Asking random questions
Treating sophisticated AI systems as little more than another search box.
BETTER RESEARCH
BETTER ANALYSIS
BETTER WORKFLOWS
BETTER DECISIONS
BETTER EXECUTION
Before organizations build advanced AI strategies,
A BASELINE.
Why these five courses?
EVERYBODY NEEDS A STARTING POINT
The starting point is not agents, automation, coding or advanced AI systems.
Before you decide what AI means for your job, your business or your industry, you need a common foundation.
You begin with literacy.
You don't begin with
AI AGENTS
AUTOMATION
AI ENGINEERING
MACHINE LEARNING
CODING
LITERACY
A shared level of foundational knowledge that helps people understand AI, communicate with it, use it responsibly and apply it to real work before moving into more advanced skills.
This is what the foundation looks like.
Understand
Learn what AI and Generative AI actually are and where they fit into the modern world.
Communicate
Learn how to give clear instructions, context and feedback so AI can produce better results.
Use
Learn where AI can improve everyday research, productivity, creativity and problem-solving.
Evaluate
Learn to question outputs, verify information and understand AI's limitations, risks and responsibilities.
Apply
Take what you learn and use it on real tasks, workflows and problems in your life and work.
Not five random certificates.
These five free beginner courses have been selected to create a simple common foundation before you begin specializing.
Together, they move you from understanding AI to actually communicating with it, evaluating it and applying it to real-world work.
Together, they form a learning pathway.
Understand. Communicate. Use.
Evaluate. Apply.
How knowledge becomes skill
Completing the learning is only the first step. The real value comes from what you do with it afterwards.
WATCHING VIDEOS
PASSING QUIZZES
DOWNLOADING CERTIFICATES
Applying what you learn.
That's how knowledge becomes skill.
DON'T JUST COMPLETE THE COURSES. USE WHAT YOU LEARN.
What completing the baseline means
THAT WAS NEVER THE OBJECTIVE.
The baseline gives you the foundation. From here, your AI learning should become more specific to your profession, your work and the problems you solve.
Start broad. Then get specific.
AI literacy baseline
Everybody starts here.
Your profession
Apply AI to the field you actually work in.
Specialized AI skills
Learn the tools and techniques that matter to your role.
Real-world practice
Use those skills on real work, projects and problems.
Capability
AI becomes part of how you actually work.
The baseline is universal. What comes next is personal.
Choose what to learn next
Your next stage of AI learning should match the work you actually do, the problems you solve and the opportunities you want to pursue.
These are directions for your next stage of learning. Dedicated Digipreneur pathways are not yet available.
Over time, this resource can expand into deeper learning paths for different careers, industries and professional needs.
Make your learning visible
Add eligible course credentials to your CV, LinkedIn profile or professional portfolio. Pair them with examples of what you can now do: a reviewed output, a useful AI use case or a repeatable workflow.
The credential proves you completed the learning. Your ability to apply it proves you have the skill.