No-Code AI Lab: Build, Train and Test Without Coding
Build a working AI model without writing code, define the problem, prepare the data, test it, and know its limits.

Duration
80 hours
Time commitment
Self-paced, around 80 hours total
Format
Course · Virtual
Fee
Free to apply
Apply by
25 Dec 2026
Designed to empower non-technical innovators. Rather than only learning AI theory, you step into the real development workflow: define a practical problem, prepare datasets, select appropriate no-code tools, and evaluate performance. Strong emphasis on responsible deployment, fairness, transparency, and the limits of model performance.
By the end of this course, you will be able to
- Define a real-world problem suitable for AI-driven prediction, classification or automation
- Prepare and structure datasets for effective model training
- Evaluate model performance using testing scenarios and performance metrics
- Identify, analyze and mitigate bias or ethical risks within AI systems
- Document and present a functional AI solution through a project report and demonstration video
- Reflect on model limitations and real-world applicability
Frequently Asked Questions
Do I really not need to code?+
Correct. You'll work in no-code and low-code platforms such as Teachable Machine, Runway ML and Google AutoML. The skill is problem framing, data preparation and evaluation, not programming.
How long does 80 hours take in practice?+
It's self-paced, so it depends on you. At 8 hours a week it's about ten weeks; at 20 hours a week it's about four.
Does it cover the risks of AI, or just how to build with it?+
Both. A specific part of the course covers identifying and mitigating bias, understanding where models fail, and being honest about a model's limitations in your final write-up.
What actually happens in the first week?+
Day one you're placed in a team and given the brief, the materials and a named mentor. By the end of week one you'll have agreed how your team works together and produced your first deliverable. You'll know what's expected of you, and when, before you start.
My teammates will be in other time zones. How does that work?+
Teams are grouped into compatible time zones wherever numbers allow, and the work is built to be done asynchronously, shared documents, recorded updates, and a small number of live checkpoints scheduled with your team.
Most learners tell us the global team was the best part. It's also the part that needs the most coordination, so we plan for it rather than leaving it to chance.
Do I need experience to apply?+
No. These are entry points, not tests, the tools are taught as part of the program. Around a quarter of learners tell us they used a tool for the first time here.
Is it really free?+
Yes. No application fee, no participation fee, and no charge for your certificate or badge. Programs are funded by the sponsoring university or partner organization.
Is this paid work, and does it lead to a job?+
It isn't paid employment and it doesn't guarantee a job. What it produces is a portfolio piece and a Skills Track Record, evidence of what you did, assessed through your work and your team's feedback, that you can show any employer.
Can I take more than one?+
Yes, and many people do, around one in ten learners come back for a second. Trainee level is the usual starting point, with Associate level as the step up.
What do I get at the end?+
A verified digital badge, a certificate of completion, and a Skills Track Record listing the capabilities you demonstrated. Associate-level programs also carry a letter of recommendation.
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