We are currently launching the second pilot cohort with DISCOUNT CODE available. Submit application first and we will reach out 🚀

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The AI space moves fast—sometimes too fast.

New models launch weekly, tools multiply daily, and it’s genuinely difficult to separate signal from noise.

💡 If you are working in edtech, you’ve probably wrestled with questions like:

Which models are actually reliable for learning? How do you evaluate bias in AI tools?

What does responsible AI development look like when real students are involved?

In the rush to adopt AI, ethical and educational responsibility often fall through the cracks.

This bootcamp is here to change that. Learn the essentials, cut out the noise, and leave with a solid foundation of practical AI skills that you can then go on and upskill yourselves.

🌟 What we offer

Hands‑on ethical frameworks, no-code AI development tools, and real case studies of AI in education applications — so you can build trustworthy learning tools with confidence.

Above all, we create space for the conversations that matter most: what AI can (and can't) solve, for whom, and why.

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Our Approach: Nails and hammers, with Critical Perspectives

Our bootcamp structures around a simple 3-step framework:

❓Identify the nails — the unseen harms and ethical dilemmas that emerge when AI meets education

🔨 Apply the hammers — different LLM techniques and approaches that can address these challenges

⚠️ Acknowledge the limits of each hammer, and communicate proactively

We then take this learning process into practice:

- Bridging sociotechnical harms and biases with advanced prompting and RAG;

- Connecting design justice principles to actual workflows;

- Exploring the tension between equity and impact through hands-on fine-tuning exercises.

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What Makes this Bootcamp Unique?

✅ Grounded in research, biased toward action

Distilling insights from critical AI in education (AIED) research as well as the latest AI research published by leading institutions such as Anthropic and Google Deepmind. Moving beyond jargon and buzzwords, applying these insights directly to edtech prototypes.

✅ Decision-making over coding: leveraging no-code LLM platforms

Learning to use Dify.ai, a popular open-sourced, no-code LLM development platform, and Google AI Studio, enabling quick decision-making and implementation of LLM improvement techniques without getting into the nitty-gritty details of coding.

✅ Multi-disciplinary perspectives

Building capacity in navigating the social, educational, and technical aspects of AI edtech, fostering effective communication with diverse stakeholders for co-creation and collaboration.

How This Bootcamp Benefits Your Career in Edtech?

🎯 Responsible AI is quickly becoming a core competency and competitive advantage in the edtech industry.

🎯 Practitioners who possess in-depth knowledge and hands-on skills in responsible AI are more effective in communicating and influencing product design and development decisions.

🎯 Companies and products that incorporate responsible AI techniques are more likely to build trust and adoption among education stakeholders, which leads to long-term, sustainable engagement.

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