Available now!

Bring AI into your coding classroom

A fully customizable platform + hands-on expert guidance to help you adopt LLMs, design new assignment types, and teach real computational thinking at scale.
A screenshot of a code editor and the AI assistant in AI Engineering Lab

Why it works

Suitable and fully customizable for any university-level programming course.
A checkbox
Computer Science CS1

Great for students learning how to code within Computer Science.

A checkbox
Across disciplines

From data science, business programming, engineering and more.

A checkbox
Bootcamps

Teach prompt engineering for code, outside of traditional education.


Our Three Pillars

1. Emulating Real-World Tools

Your students use the same AI Assistants software engineers rely on. With AI Engineering Lab you can bring these tools into the coding classroom while retaining oversight.
A screenshot of the AI assistant
A screenshot of automatic grading tests

2. Innovative Question Types

Move beyond multiple-choice and pure code-writing.Prompt Problems teach algorithmic reasoning by having students craft natural-language prompts that generate code, then iterate on instant feedback.

3. Content & Expertise

Tap into a rich library of 60+ prompt challenges, 10 AI code projects, and modular Core Concepts.

Partner with our specialists for bespoke problem sets, custom system prompts, and ongoing pedagogical support.
A screenshot of the AI assistant.

What we cover

Core Concepts
Foundations of computational thinking—abstraction, decomposition, pattern recognition—delivered in bite-sized, customizable lessons.
Covers all fundamentals
Clear, concise language
Guides students through tasks
Fully customizable
A screenshot of core concepts in AI Engineering Lab
Prompt Problems
Short, scaffolded challenges where students learn to translate problems into prompts, generate AI code, and refine solutions through auto-grading.
Teaches computational thinking
Generated code is automatically graded
Great formative knowledge checks
Fully customizable
Module comes with 60+ Prompt Challenges
A Prompt Challenge in AI Engineering Lab
AI Mini-Projects
Real-world scenarios that let learners drive deeper conversations with AI, tackle complex tasks, and build industry skills.
Teaches in-depth knowledge
Code is automatically graded
Real-world scenarios
Fully customizable
Comes with 10 AI Code Projects
An AI mini project in AI Engineering Lab
Customization & Consultancy
From tweaking our modules to co-designing new question types, our experts work alongside you to align every element with your course goals.
Teach comprehensive problem-solving
Unlimited support
Expert guidance
Fully customizable
Co-design your course with us
An AI mini project in AI Engineering Lab

Why you need it

Keep Pace with Change
LLMs are reshaping how we code. Give your students the tools to stay ahead.

You know AI matters, but getting started is overwhelming. We guide you every step of the way, from setup to scale.
Unlock Student Potential
Lower the barrier to entry: students start coding in English first, learn computational thinking, and gain confidence faster.
Ensure Integrity & Compliance
Built-in guardrails, transparent logs and privacy compliance means you can adopt AI responsibly. AI Engineering Lab is fully compliant with university-level data processing & privacy standards. This includes FERPA and GDPR.

Computational Thinking is essential for students to understand how to communicate effectively with AI. It will be a fundamental skill for the next generation.

How it works

Get a demo
See the module in action. We'll answer your burning questions.
Get integrated
Get a course import package containing all the core concepts and start the LMS integration.
Co-create Your Experience
Work with our consultants to tailor system prompts, grading rubrics, and custom challenges that map to your syllabus.
Onboard & Launch
Walk through the module with an expert, finalize adjustments, and go live.
Iterate & Scale
Track student conversations, refine questions, and roll out new modules as your program evolves—backed by our ongoing research network.