Who We Are
Building accessible AI education since 2016
Our Story
Started with a simple question
Back in 2016, we noticed something odd. Everyone talked about AI as this massive shift, but finding practical courses felt impossible. Most programs either assumed you had a PhD or treated you like a complete beginner with no middle ground.
So we built what we wanted to see. Real courses that explain generative AI concepts without the jargon fog. Our instructors work in the field right now, not just teaching theory from outdated textbooks.
Today, we run courses that people actually finish. Our completion rates sit around 78% because the content connects to real projects. Students build portfolios, not just collect certificates.
What drives us
Three principles that shape how we build every course
Clear explanations
We break down complex AI concepts into digestible chunks. No hand-waving about "magic algorithms" or hiding behind technical jargon when plain English works better.
Practical focus
Every lesson connects to actual work. You'll build prompt systems, optimize model outputs, and debug real generation issues. Theory matters, but only when it helps you solve problems.
Current content
AI tools evolve fast. We update courses quarterly based on new model releases and changing best practices. What worked six months ago might be outdated now.
How we structure learning
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Short focused modules
Most lessons run 15-25 minutes. Each covers one specific skill, like crafting effective prompts for image generation or troubleshooting token limits in text models.
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Hands-on exercises
You'll work with actual AI tools right away. Set up generation pipelines, test different parameters, evaluate outputs. Theory comes second to doing.
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Real project examples
See how professionals use these tools daily. We walk through complete workflows from initial prompt design to final output refinement.
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Progressive complexity
Start with basic generation tasks, build toward custom workflows. Each section assumes you've mastered the previous one.
Who teaches here
Our instructors spend most of their time working with generative AI systems in production environments. They teach one or two courses per year based on what they're currently building.
Linnea Vestergaard
Lead Instructor
Builds custom generation workflows for media companies. Spent three years optimizing prompt systems for large-scale content production. Teaches our advanced courses on model fine-tuning and output control.
Aarav Murthy
Course Developer
Works on AI integration for e-commerce platforms. Previously led prompt engineering at a startup that generated product descriptions at scale. Focuses on practical applications and real-world constraints.
Siobhan Kerrigan
Technical Instructor
Specializes in image and video generation systems. Debugs model outputs for creative agencies and helps teams implement generation pipelines. Teaches our courses on visual AI tools and quality control.
Tadeo Ruiz
Platform Architect
Maintains the technical infrastructure behind our courses. Previously built learning platforms for technical training companies. Ensures everything runs smoothly and content stays current.
