We are currently launching a pilot cohort (with limited spaces, first-come-first-serve)!

Please fill out the application if you are interested! (You won't be paying just yet.)

Due to capacity constraints, we will reach out to you with a DISCOUNT CODE if we think you are a good fit for the first pilot!

Now on to the course description!

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💤 The majority of responsible AI keynote speeches, guidelines, and frameworks preach with the same set of abstract buzzwords over and over, such as "fairness", "accountability", and "transparency".

🚫 However, it's one thing to talk about what's right and a whole different thing to actually do what's right.

⚠️ Edtech practitioners are motivated to build safe and effective AI learning solutions responsibly. But too often, they find themselves swamped with repetitive jargons, without any clues on how to translate and implement them in their products.

✅ What edtech practitioners really need is practical understanding of responsible AI, directly applicable tools and techniques to improve AI robustness in education, and hands-on practice in designing and building AI edtech products with safety and alignment.

🥇This bootcamp has all of these for you.

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💡 ABOUT THE BOOTCAMP

- “Mens et manus” ("Mind and Hand", Massachusetts Institute of Technology Motto)

This bootcamp combines important theories and concepts of responsible AI in education with hands-on workshops and projects, equipping you with both the mindset and technical skills to design and build trustworthy AI edtech products, without extensive research or coding backgrounds.

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, Google Deepmind, Princeton University, and UC Berkeley. 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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⛳ Capstone: OATutor AI Edtech Challenge

Towards the end of the bootcamp, you will participate in an AI Edtech Challenge, where you will design and build AI features on top of an open-sourced edtech platform - OATutor.

OATutor (https://www.oatutor.io/), or Open Adaptive Tutor, is an award-winning, research-backed edtech developed by the Computational Approaches to Human Learning lab from UC Berkeley School of Education. Under the MIT license, OATutor expands access to high-quality, personalized tutoring technologies and makes it highly customizable and adaptable to diverse learning and teaching contexts.

This OATutor AI Edtech Challenge invites you to take OATutor to the next level, by designing and building new AI-powered components (features, prototypes, pipelines, or tech stack), while applying the knowledge and skills you gained throughout the Bootcamp. 

The R&D team of OATutor will host office hours and offer async technical support to help you succeed in brainstorming and completing capstone projects. By the end of the Challenge, promising projects may contribute directly to the official OATutor platform and/or lead to research collaboration with the OATutor team.