A good online course isn't created by simply converting all your knowledge into videos. First, you define the specific outcome participants should achieve and plan the learning path to get there. Only then do you decide on lessons, exercises, and formats, produce the content, and technically assemble it into a complete learning experience.
At a Glance
Start with the result, not the modules.
A topic alone doesn't tell you what participants will actually be able to do after your course.
Plan the learning path backwards.
Modules and lessons result from the necessary steps between the initial situation and the desired outcome.
Content alone does not create learning.
Good courses combine explanations with application, practice, and feedback.
Don't produce everything immediately.
Test a critical part of the course first and improve the learning logic before recording the entire video library.
Choose formats according to their function.
Video, text, quizzes, workbooks or live calls are tools for different learning tasks, not mandatory components.
A course is only complete when the participant journey is successful.
Content, navigation, downloads, activations, mobile usage and feedback channels must all fit together.
Define what participants should really be able to do after your course.
When you develop a course in your own field of expertise, you usually know much more than your participants need for their specific goal.
This is precisely one of the greatest dangers in course creation: you structure your knowledge instead of structuring change.
"Learn Excel," "present better," or "cook healthier" are therefore not good course objectives. They describe a topic, but they don't say where someone starts, what the person should actually be able to do after the course, or how they can tell they've succeeded.
Define starting point and result
Start with two points:
1. Where does the person stand today?
2. What should she be able to do independently after your course?
Let's say you want to develop a course on Excel dashboards.
“Creating Excel dashboards” narrows down the topic somewhat, but still leaves many questions unanswered.
More specifically:
After the course, participants will be able to independently create a monthly updatable KPI dashboard from an existing raw data table, identify typical data errors, and clearly visualize the most important key figures.
This wording immediately changes the course planning.
Now you probably need content on data structure, cleaning, selection of meaningful KPIs, calculation, visualization and updating.
However, you don't automatically need everything you know about Excel: macros, complex financial models, all chart types, or every formula you've ever used.
Your course doesn't need to cover your entire expertise. It needs to make accessible precisely the part of your expertise that is necessary for the desired result.
Clarify what your participants need to bring with them.
The same result can require two completely different courses depending on the starting point.
Someone opening Excel for the first time needs a different learning path than someone who already works regularly with spreadsheets but cannot yet create good reports.
Therefore, consciously define what prior knowledge is required.
The goal is to create a common starting point from which your learning journey can begin.
If you implicitly assume a certain level of basic knowledge that some of your participants haven't mastered, later lessons will become unnecessarily difficult. Conversely, if you explain every conceivable basic concept to everyone, you'll bore those who are already further along.
Therefore, a helpful limit is:
Essential knowledge for the next step, and not something that can be assumed, belongs in the learning path. Information that is only occasionally useful can be added later as reference material.
Make the result observable
Phrases like "understanding the basics", "gaining confidence" or "mastering Excel better" sound sensible at first, but are difficult to plan.
You can't directly observe whether someone has "understood" something.
You can observe whether the person:
– a properly reasoned decision,
– solves a task,
– a concrete result was produced,
– detects an error,
– applies a method correctly,
– can carry out a process independently.
Therefore, ask yourself:
What would someone have to show me at the end to convince me that my price target has been reached?
In a course on presentations, this could be a finished presentation structure and a short recorded presentation.
In a photography course, perhaps a series of images where exposure and image composition were consciously used.
In our dashboard example, it would be a functioning dashboard based on a new data set.
This has an important consequence for your later course: If the goal is an action, then that action must also be practiced.
A multiple-choice quiz can test whether someone knows what constitutes a good presentation structure. However, it doesn't tell you whether the person can actually create a good presentation themselves.
Check if an online course is the right format for this.
Not every problem can be meaningfully transformed into an online course.
A course works particularly well if you can structure, explain, demonstrate, and practice a relevant part of the solution process.
It becomes more difficult when the result depends heavily on diagnosing each individual case or continuously observing and correcting a person during the execution.
Perhaps the fundamentals can be standardized, while certain applications require feedback. In that case, a hybrid model might be more suitable than a purely self-paced course.
Answer the following question for yourself:
"Which parts of the journey can participants meaningfully learn independently, and where do they need feedback, interaction, or individual support?"
You need to make this decision before you determine the specific components of your course.
Form a clearly defined course product from this.
Now you know the starting point and the desired result. From this, you need to build a product that makes this path realistically possible.
Your course consists of more than just its lessons.
The course product also includes how learning takes place, what support is available, what materials are needed, and what is deliberately not part of the course.
Define your path to the result
For many results, there are several possible methods.
For example, a stress management course for managers might focus primarily on prioritization, setting boundaries, and communication. Another course might place greater emphasis on values, self-image, and career direction.
The result may be similar. The learning path is different.
Therefore, formulate as specifically as possible what your method entails and determine which approach through your field you consider appropriate for this problem.
Decide just as consciously what doesn't belong.
Scope creep happens quickly with online courses.
During the planning phase, you think of a related topic. Then a special case. Then a tool that might also be helpful. In the end, a course is suddenly supposed to solve every problem your target audience could ever have in this subject area.
It might sound counterintuitive at first, but you're not doing your customers any favors by doing this. Quite the opposite: too much information often leads to them being overwhelmed.
Therefore, check every planned piece of content with four questions:
1. Does the person need this to achieve the defined result?
2. Does she need it at this point in her learning journey?
3. Does she really need to learn it, or is it enough to be able to access it later?
4. Would the price target still work if this content were missing?
If you can answer the last question with "yes", the content probably doesn't belong in the core course.
The actual learning path should only include what truly helps the person progress. People ultimately pay for a simplified, clear path to their goal, not for comprehensive training in your field.
Choose the delivery model according to your learning needs
Only now does the question of how your course should take place make sense.
A self-study course is particularly suitable if explanations and exercises can be largely standardized and participants can check their own progress.
A cohort course can be more effective if the group is meant to go through the process together, if fixed dates support the learning rhythm, or if joint exercises are part of the method.
A hybrid model combines both: content and preparation take place asynchronously, while certain applications, questions, or feedback steps are live.
What matters is not which model appears to be of higher quality.
Each component should solve a specific learning problem.
If someone needs individual feedback for a task, feedback can be helpful.
A live call can help when typical errors become more visible when discussed together.
If participants primarily need to concentrate on working on something for themselves, an additional group session may be completely pointless.
Add support according to its function
The same applies to additional components such as workbooks, community, or live calls.
For example:
– The person understands the principle but doesn't know how to start: A template can make it easier to get started.
– She needs to practice a new skill: A concrete task is more important than another explanatory video.
– She cannot yet assess the quality of her result herself: She needs criteria, a model solution, or feedback.
– She benefits from seeing different cases: peer exchange or live analysis can be useful.
– She will need certain information again and again later: A checklist or reference is better than another mandatory module.
Therefore, a community is not an automatic component of a good online course. It is only useful if exchange, feedback, or shared commitment actually contribute to the outcome.
In our article "Building and Monetizing an Online Community" , we show you in detail how to effectively build and structure your own online community.
Also plan learning pace, access, and support.
The product also includes its temporal architecture.
Does a skill need to be practiced over several weeks? Are there tasks that should ideally be spaced out between them? Can participants complete the entire course at their own pace? What content should be available later as a reference?
Therefore, decide:
– what realistic learning rhythm you envision,
– which content can be edited freely at one's own pace,
– where fixed deadlines or feedback windows are needed,
– how long personal support is available,
– which content should remain accessible in the long term.
This means your course product stands not just as a topic idea, but as a clearly defined learning experience.
Now you can plan your route there in detail.
Plan the learning path backwards from the desired outcome.
Many curricula are created in the same way: You write down everything you know about your topic, group similar points together, and create modules from them.
This results in a proper content structure.
But not yet a good learning path.
A learning path is not determined by which topics belong together. It is determined by the sequence of steps someone must master to achieve the desired result.
Start with the conclusion
First, imagine that the person has successfully completed your course.
What specific steps can she take now?
And most importantly: How could she show it to you?
In our dashboard course, the final step could be to independently build a functioning dashboard from a new raw data set.
That's your endpoint.
Now you go backwards.
What skills must someone possess before a complete dashboard can be created?
For example:
1. Check raw data for typical errors
2. Determine relevant KPIs
3. Structure data meaningfully
4. Calculate key figures
5. Select suitable visualizations
6. Assemble the dashboard
7. Test and update with new data
These are already significantly more sensible potential modules than:
Basics → Formulas → Pivot → Charts → Advanced Functions
The first structure follows the actual work process. The second merely follows categories within Excel.
Build foundations where they are needed.
Experts often have the impulse to first fully explain "the basics".
That makes sense: first theory, then practice.
In reality, this quickly results in long initial modules full of terms and concepts whose usefulness participants cannot yet assess.
Better is:
Provide a foundation as early as necessary, but as close as possible to its application.
If a specific formula is only needed when calculating a KPI, you can explain it there.
If a theoretical principle only becomes relevant when the person has to make a concrete decision, introduce it at that point.
Of course, there is knowledge that is truly essential. But "fundamentals" shouldn't be a catch-all for everything you, as an expert, consider important.
Provide guidance first, before expecting independence.
When faced with new or complex tasks, it is often not enough to explain a principle and then say: "Now try it yourself."
Participants first need an understanding of what a good solution actually looks like and how to get there.
Therefore, you can work with a simple progression:
Demonstration → application with support → independent solution
In a software task, this could look like this:
1. You demonstrate a complete process and explain your decisions.
2. The person completes a similar task using a checklist.
3. She then applies the same process to her own case.
The support will therefore gradually decrease.
This is particularly helpful for beginners: they don't have to simultaneously figure out what to do and what a good solution looks like.
Turn progress into modules
Ideally, a module should create a new work state or a new capability.
Comparisons:
Weaker
– Basics
– Strategy
– Tools
– Advanced techniques
Stronger
– Prepare your data for analysis
– Define the key performance indicators (KPIs) that your dashboard really needs.
– Visualize your data in an understandable way
– Test whether your dashboard works with new data
The second option will also help you when writing the lessons.
You can ask about any planned content:
Will this help us reach this milestone?
If not, it probably belongs somewhere else.
Remove content that only makes the learning process more difficult.
More content does not automatically increase the value of a course.
Every new term, special case, and additional step needs to be processed. If participants receive too much new information at once, it becomes more difficult to distinguish between what is important and what is not.
Therefore, consciously reduce your intake:
– Technical terms that are not yet needed
– several possible solutions, if one is sufficient initially
– Special cases in the middle of a basic lesson
– Slides full of additional information
– lengthy digressions without immediate application
– Examples that do not point out anything new
You shouldn't plan video length according to a general rule of minutes either.
The better question is:
Where does a meaningful learning step end?
A cohesive 18-minute workflow can be more effective than three artificially separated six-minute videos. At the same time, a lesson shouldn't contain four different objectives just because they all belong to the same overarching topic.
Store reference knowledge from the core course
Some knowledge is valuable, but not part of a linear learning path.
For example:
– Glossaries
– Tool references
– common mistakes
– Special cases
– further examples
– Template libraries
– optional recesses
Such content can be much more helpful as a library or bonus material.
The crucial question for your core course is:
Does every person have to work through this now in order to succeed in the next step?
If not, don't force her.
Therefore, at the end of this step, your curriculum should not be a collection of topics, but a comprehensible chain of progress.
Only now is it worthwhile to work out the individual lessons.
Develop lessons that lead to application
Whether or not your course actually delivers learning depends on the lesson level. A good lesson doesn't explain as much as possible. It explains just enough to make the next step possible.
For this to work, each lesson needs a specific learning objective rather than a topic. "Presentation techniques" is a topic. "Structuring the introduction so that the problem and key message are clear in the first minute" is a learning objective. Everything else follows from this objective: the explanation, the example, the task, and the format.
A simple process of orientation, explanation, application, and feedback has proven effective. The last step is most often missing. Those who are just learning a skill need clear criteria to assess their own progress. A quiz only tests knowledge. Only a practical task reveals whether someone truly understands something.
Plan implementation and motivation as part of the course design
When participants drop out of a course, it's rarely just a lack of motivation. Often, the next step is unclear, the task too large, or their own progress isn't apparent. Therefore, before you rely on gamification or reminders, it's worthwhile to make the learning path itself easier to manage.
This includes an early, genuine first success rather than a lengthy onboarding process. Progress should be reflected in results, not in viewed videos: "Your first dashboard prototype works" says more than "4 out of 12 lessons completed." It's also helpful to revisit key skills later in the course. And eliminate unnecessary friction, such as unclear navigation or missing files. The core learning process remains intact.
First test a small, working version of the course.
The most expensive time to discover a fundamental flaw in course design is after 30 videos have been edited.
Therefore, you should test your learning logic before producing the entire course.
You don't need a perfect platform, a complete video library, or final branding for that.
You need an initial version that real people can actually use to go through a relevant part of the learning process.
What this first course version must achieve
Your first working course version needs:
– a clear overall result,
– defined requirements,
– a rough curriculum structure,
– at least one important learning section in realistic quality,
– a specific task or application,
– criteria or a feedback process,
– a way to collect questions and observations.
The following are not needed initially:
– all bonus content,
– elaborate animations,
– perfect design,
– a fully produced library,
– every conceivable special case lesson.
You are not testing how impressive the course looks at this point.
You are testing whether your planned learning process works.
Don't prototype the easiest part.
Choose a section where your course idea really needs to prove its viability.
For example:
– a complex transition from theory to application,
– a task where typical errors occur,
– a section outlining important requirements,
– a demonstration that must be precisely reproducible,
– a point at which you feel feedback is necessary.
Build this section the way it should actually function later.
Includes explanation, example, task, material and feedback.
Then you can test whether these elements work together.
Observe behavior, not just opinions.
If you then only ask test subjects:
How did you like the module?
You'll probably get answers like "good", "exciting" or "a bit long".
Other questions will help you improve the course more:
What should you do after this lesson?
– Where were you unsure how to proceed?
– At what point did you have to go back?
– Which task was unclear?
– What did you actually create or change in the end?
– Where would you have needed feedback?
– What information were you missing?
– Which part was not necessary for the task at all?
Even better: Observe what actually happens.
If several people ask the same follow-up question, something is probably missing from your explanation.
If many people are getting the same problem wrong, you may need a better example or a previous practice step.
If a lesson is regularly skipped and nobody misses it later, it may not belong in the core course.
Improve the structure first, then the content.
After a test, there are three basic possibilities:
Delete: This content is not needed for the result.
Addendum: An important explanation, prerequisite, exercise, or feedback is missing.
Reorder: Content arrives too early or too late.
The first point in particular is often underestimated.
If participants get stuck at a certain point, the solution is not automatically:
"I need one more video."
Perhaps the learning process requires less.
Perhaps the task is too big.
Perhaps a prerequisite wasn't properly established five lessons earlier.
Only once you have answered these questions is full production worthwhile.
Plan your production before you press record.
Once the learning logic has been tested, your curriculum becomes a production plan. A simple table is all you need. For each lesson, it shows the learning objective, the format, the required assets, the task, and the current status. This way, you see early on what actually needs to be produced and don't realize something is missing only halfway through recording.
The format should be tailored to the learning stage, not based on a desire for variety. Not every lesson needs a video. Often, text for reference or a practice file is a better choice. Before you start recording on a large scale, produce a representative lesson completely, right up to the upload stage, and test the audio, video, and playback. Only when this process is working smoothly is it worthwhile to tackle similar tasks in batches.
Produce understandable video, audio, and screen recordings
Your course doesn't need to look like a movie. The technology just needs to be good enough that nothing distracts from the learning process. For that, a clean setup is more important than expensive equipment.
If you're going to invest in anything, start with good sound. A slightly blurry image is forgivable, but echo or humming isn't. A quick test recording with headphones will quickly show you if your room is suitable. The camera should be at eye level and remain set up the same way throughout all lessons. A smartphone is often sufficient for this. For screen recordings, readability and a clean interface are crucial. Explain why you're taking a particular step, not just where you're clicking. In the editing process, remove anything that distracts from the content. Use zooms and overlays only when they demonstrate something, not simply to add more to the lesson.
Create work materials and accessible alternatives
A large download area doesn't automatically make your course better. Materials are only worthwhile if participants actually use them, i.e., analyze, plan, or review something. Templates need context for this, and often a completed sample version is the most helpful. Quiz questions should require a decision, rather than simply testing vocabulary.
Accessibility should be integrated into production from the very beginning, not just added at the end. Subtitles, transcripts, and alternative text for images help everyone, for example, with quick reference or learning without sound. You should clarify the legal requirements that apply to your offering separately. You can find more information in " Selling Online Courses Legally " .
Furthermore, it's worthwhile to separate content that quickly becomes outdated from stable content. A short tool demo can easily be replaced if the interface changes. The accompanying method lesson then remains unchanged.
Here's how to create your online course product in ablefy in no time: Go to the online course tutorial
Test the complete learning experience like a participant
Almost every course looks logical in your own admin account.
You know where everything is, which lesson is coming next, and what you meant by a task.
Your participants don't know that.
Therefore, a course is only finished when you have tested the entire process with real participant rights.
Start from scratch
If possible, use a separate test account.
Start where a real participant starts.
First, check:
Is it immediately clear where the course starts?
– Is the first action understandable?
Are the prerequisites visible?
– Can the necessary materials be found?
Is the next step after a lesson clear?
– Is it always easy to return to the overview?
Try not to navigate based on your prior knowledge.
If you know that the relevant download is "naturally located in the bottom right corner", you can easily overlook the fact that someone else can't find it at all.
Test each file in its real environment
It is not enough that lektion-3.mp4 works on your computer.
Open the actual lesson on the platform.
Check:
Video and audio
– Does the video start?
– Is the language clearly understandable?
– Is the on-screen text readable?
– Do subtitles work?
– Is the final version correct?
Downloads
– Can the file be opened?
– Is this really the current version?
– Is the file name understandable?
Do the included links work?
Quizzes
– Is the answer logic correct?
Does feedback work?
Does the quiz behave as planned with regard to correct and incorrect answers?
Left
– Do they lead to the right destination?
Are you opening the correct document or meeting?
Are there no more internal draft links?
Test activations and permissions
Especially with time-controlled content, you shouldn't just configure it in the admin area and then check it off.
Review from a participant's perspective:
What is immediately visible?
What will be released later?
– What will remain closed?
What happens after a quiz?
– What happens at the end of an access period?
Are certificates being triggered correctly when you use them?
Don't just document errors.
Also note down what behavior you expected .
Then you can differentiate between a technical bug and incorrectly configured logic when correcting it.
Don't just test desktop
At least one smartphone should be included in your QA process.
Check there:
– Text size,
– Navigation,
– Videos,
– Buttons and links,
– Downloads,
– Tables,
– Forms,
- Tasks.
A course page can look responsive and still practically not function.
If a core task requires, for example, a complex table, a smartphone may simply be the wrong tool for the job.
Then you shouldn't try to artificially make the task mobile.
Instead, clearly communicate that it should be edited on a laptop or desktop computer.
Test live elements completely
If live sessions are part of the course, check:
- Date,
- Time,
– Time zone,
– Calendar link,
– Meeting link,
- Preparation,
- Memory,
– Procedure for appointment changes.
A single broken link can cause someone to miss the most important feedback deadline for the course.
Improve the course based on real learning signals.
An online course is not a static product that must remain unchanged forever after being uploaded.
But here too, more is not automatically better.
If you answer every question with an additional lesson, your course will quickly grow into an ever-expanding library.
Therefore, improve not according to the amount of content, but according to actual learning hurdles.
Search for patterns instead of individual comments
A single question can be individual.
If ten people ask the same question, it's probably a design signal.
Rank recurring problems according to their cause:
– Prerequisite is missing
The explanation is unclear.
– An example is not enough
The task is too big.
– Feedback comes too late
Navigation is unclear
– technical problem
– Content is not needed
Then you're not just solving the visible problem.
You are correcting the cause.
Don't confuse usage with learning success.
Many video views indicate that a video has been opened.
They don't show you whether someone has learned anything.
Depending on the price, there are significantly stronger signals:
– Quality of tasks,
– typical mistakes,
– Improvement between two attempts,
– successful application to one's own context,
– a functioning final project,
– the ability to provide comprehensible justifications for decisions.
Low usage of a particular lesson is not a diagnosis in itself.
Perhaps she's too hard to find.
Participants might get stuck even before that.
Or perhaps it is simply superfluous.
Usage data shows you where you should take a closer look. It doesn't automatically tell you what you need to change.
Shorten first before adding to it.
If people fail at one point, check before making a new video:
– Can the existing explanation be made clearer?
– Is the task too big?
– Is an example missing?
– Is a term being used too early?
– Was a prerequisite not practiced sufficiently beforehand?
– Can a special case be removed from the core path?
A significant course improvement can also mean deleting two lessons.
Plan updates for content with a short lifespan
Not every lesson ages at the same rate.
Relatively stable:
– your method,
– Basic principles,
– Decision logic,
– basic skills.
Obsolete faster:
– Software interfaces,
– Tool functions,
– Platform menus,
– regulatory details,
– time-dependent examples.
If you have already separated this content in production, you can replace individual demos without re-recording the entire lesson.
Document major changes
For a small course, a simple table is sufficient:
version
the change
Why?
Affected content
1.1
Task divided into two steps
Too many errors during the transfer
Module 2
1.2
Tool demo replaces
Surface changed
Module 4
1.3
Glossary outsourced
The basic module was too dense
Module 1
That way you'll know later why something was changed.
This is especially helpful when several people are working on the course.
Use AI for routine tasks, not as a professional authority.
AI can take a lot of work off your hands in maintenance and production.
For example, in the case of:
– Structuring raw notes,
– Creating initial script drafts,
– Developing additional exercise variations,
– Cleaning up transcripts,
– Clustering of participant questions,
– Formulating the first quiz questions.
What it shouldn't replace is your professional examination.
Especially with examples, quizzes and explanations, plausible but incorrect content can arise.
Therefore, use AI as a production assistant.
The decision as to what is right, relevant and didactically sound remains with you.
The complete process from expertise to finished course
If you want to create your own online course now, work in this order.
1. Define the learning outcome
– Define the starting point for which your course is intended.
– Define the necessary prerequisites.
– Formulate a concrete, observable end result.
– Decide what will demonstrate that this result has been achieved.
– Check which parts of it can be usefully learned via an online course.
2. Define the course product
– Define the method and basic solution approach.
– Decide which content truly belongs.
– Define clear non-goals.
– Choose self-learning, cohort, or hybrid model.
– Only add feedback, live calls, or community features where they serve a learning function.
– Determine learning pace, access, and support.
3. Plan your learning path
– Start with the conclusion.
– Break the result down into necessary milestones.
– Arrange fundamental principles as closely as possible to their application.
Turn milestones into modules.
Remove nice-to-know content from the core path.
– Store reference information elsewhere.
4. Develop lessons
– Give each lesson a clear goal.
– Plan explanation or demonstration.
– Include a specific application.
– Define success criteria.
– Plan a suitable feedback or control process.
– Only then select the media format.
5. Enabling implementation
– Plan for a clear initial success.
– Make relevant intermediate progress visible.
– Repeat key skills throughout the course.
– Only schedule live appointments where synchronization is helpful.
– Only use community if it offers genuine benefits for learning or accountability.
– Eliminate unnecessary technical friction.
6. Plan production
– Create a complete asset list.
– Decide for each lesson whether to use video, text, audio, screen recording or download.
– Choose full script, bullet points, or demo walkthrough.
Prepare examples and files.
– Define folder structure and file names.
7. Produce content
– Test the room and sound.
– Set up the camera and light in a stable position.
Prepare screen recordings.
– Record in editable units.
– Cut for clarity.
– Check final exports.
– Create subtitles and transcripts.
8. Prepare materials
– Link each workbook to a specific task.
– For complex templates, add an example.
– Check quiz questions for real relevance.
– Plan alternative texts.
– Check PDFs, contrast, and mobile usage.
– Separate stable content from content that quickly becomes obsolete.
9. Build a course platform
– Create modules and lessons in an understandable way.
– Sort media and downloads into the correct place.
– Configure unlocks.
– Only set up quizzes, certificates, or comments if there is a clear purpose.
– Check participant rights.
– Keep navigation and naming consistent.
10. Perform complete QA
– Test with a real participant account.
– Go through the entire participant journey.
– Check video, audio, downloads, and links.
– Test quizzes, unlocks, and certificates.
– Check desktop and smartphone.
– Have real test subjects complete tasks.
– Fix all blocking problems.
11. Further develop the course
– Collect recurring questions and errors.
– Look for causes instead of individual symptoms.
– Consider learning signals, not just usage.
Shorten and clarify before adding new content.
– Update volatile content selectively.
– Document major changes.
The complete route is therefore:
Learning outcome → Course product → Learning path → Lessons → Implementation → Prototype → Production plan → Production → Materials → Platform setup → QA → Improvement
Your course concept will now become a finished online course.
When the learning outcome, learning path, and application are clear, the technology also becomes significantly easier: You know which content you need, which formats are useful, and which functions actually support your learning experience.
With ablefy you can build your online course with videos, audio, texts, presentations and downloads, unlock content in a structured way and use features such as quizzes or certificates where they fit your course concept.
