Reflections from My Latest AI Bootcamp: Teaching 100+ Non-Coders
Recently, I completed an intensive AI bootcamp where I taught over 100 students with zero coding experience how to build AI applications using modern tools like Cursor AI, ChatGPT, and Claude. Here are my key takeaways.
The Challenge: Diverse Learning Paces
One of the biggest challenges I faced was managing the diverse learning paces of 100+ students. Some picked up concepts quickly, while others needed more time to grasp the fundamentals. This experience taught me that having pre-resources is crucial for students to self-learn and catch up at their own pace.
Teaching Them How to Fish
Instead of spoon-feeding solutions, I focused on teaching students how to fish rather than giving them fish. This approach encourages self-reliance and builds problem-solving skills that extend beyond the bootcamp. Students learned to approach problems systematically and find solutions independently.
Prompt Engineering: The Critical Skill
Prompt engineering emerged as the most important skill in the entire curriculum. Students who mastered this skill could effectively communicate with AI tools and get better results. It's not just about asking questions – it's about asking the right questions in the right way.
AI Tools That Made the Difference
Essential Tools Used:
- Cursor AI: Code editor with AI assistance for real-time coding help
- ChatGPT: Problem-solving and code explanation
- Claude: Complex reasoning and detailed explanations
The Human Element
Despite all the AI tools, students consistently valued the instructor as the main asset. They appreciated human guidance in navigating the complexity of AI development, understanding when to use which tool, and getting personalized feedback on their approach.
The Dependency Challenge
A concerning pattern emerged: students intentionally relied on me for knowledge rather than developing independent learning habits. This dependency is something I'm still figuring out how to address effectively while maintaining support and guidance.
Education Methods Are Evolving
This experience reinforced that education and learning methods are rapidly changing. Traditional teaching approaches don't always work in the AI era. As an instructor, I need to continuously adapt to new methods that balance technology assistance with human guidance.
Looking Forward
We're planning many more bootcamps in the future, incorporating these learnings to create even better educational experiences. The goal is to find the perfect balance between AI assistance, self-learning, and human mentorship.
Key Takeaways for Educators
- • Provide comprehensive pre-resources for self-paced learning
- • Focus on prompt engineering as a foundational skill
- • Encourage independence while providing guidance
- • Embrace new teaching methods for the AI era
- • Balance technology tools with human mentorship
These reflections come from real experience teaching 100+ students. Every bootcamp teaches me something new about effective education in the AI age.