Introducing AI Engineering Lab: Teaching AI in Every Coding Course
AI Engineering Lab is a fully-guided pre-made module integrated with your LMS that helps educators introduce prompt engineering into their coding courses. Whether you're teaching computer science, data science, engineering, or any course where students learn to code, this interactive course offers automatic grading, an online IDE, and hands-on AI coding challenges, all seamlessly incorporated into your LMS.
Why We Created AI Engineering Lab
The way we teach coding is evolving. Simple code assignments are no longer enough—students need to understand AI as part of their programming education. Large Language Models (LLMs) are already transforming software development, and students must learn how to interact with AI effectively.
AI & Coding for Non-CS Majors
Many students in business, finance, and marketing need coding for data analysis, automation, and problem-solving. Traditional programming can be daunting, but AI helps level the playing field. Generative AI democratizes programming, making it more accessible. Students can "write programs" in natural language rather than learning complex syntax. The key is balance: students should learn programming fundamentals and leverage AI as a coding partner. Prompt engineering serves as a bridge between a student’s intent and a working solution. For instance, a finance student can prompt AI to generate a Python script for sales analysis—tasks they might otherwise hesitate to attempt on their own. AI opens up new possibilities for non-CS students to accomplish programming tasks.
By integrating AI Engineering Lab into your course, you can:
- Teach AI-assisted problem-solving alongside traditional coding skills.
- Prepare students for an AI-driven job market by incorporating real-world AI workflows.
- Encourage critical thinking about AI-generated code and its limitations.
This makes AI Engineering Lab a valuable addition to any course where students write code, from introductory programming to specialized fields like data science, engineering, and machine learning.
What’s Inside AI Engineering Lab?
- Seamless LMS integration – AI Engineering Lab works within your existing course structure, so there’s no need for extra tools or complicated setup. Students can access assignments directly from their LMS, and their progress is automatically tracked.
- Fundamental Python exercises – The module includes a full Introduction to Python, providing a structured curriculum that helps students develop foundational coding skills while incorporating AI-assisted learning, making it an excellent starting point for beginners.
- Core Concepts – Key programming concepts are introduced to build a strong foundation, which complements AI-assisted learning.
- Prompt Problems – Students are presented with problem statements that require computational thinking. They will write a prompt to solve the problem, after which the AI generates code from the prompt. Students will be able to view the code but cannot edit it. The code is then autograded, and students receive feedback to refine their prompt and solve the challenge effectively.
- AI Mini-Projects – Larger projects where students are provided with starter code and introduced to new concepts that haven't been covered yet. With the AI assistant, they must implement improvements to the code and deepen their understanding of the project. These mini-projects encourage experimentation and help students build real-world coding skills.
- Automatic grading and instant feedback – AI Engineering Lab leverages automatic grading to provide students with immediate feedback on their work. This allows for a more interactive learning experience while significantly reducing the grading workload for instructors.
Bring Your Curriculum into the AI Era
AI isn’t replacing coding—it’s changing how we approach it. AI Engineering Lab helps educators integrate AI into the conversation, ensuring students are prepared for the future of programming.
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