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[Bootcamp] Course of Making AI Tutor for [X]


Tl;dr 

In a 10-week online course, 50 university students from Taiwan, HK & US will build their own AI Tutor of a subject they picked as a team of 5. Each team will be coached by one Googler, and then present & demo their AI Tutor.

The course is inspired by Harvard's Teaching CS50 with AI. Students will be developing their AI Tutor on Google Cloud with Gemini API.

Why you should join

  1. State of the Art Gen-AI knowledge & skills: Learn the latest & greatest Gen-AI tech from Silicon Valley.

  2. Tech Profession Mentorship: Get coached by professionals working for the top tech company, e.g. Google employees.

  3. Diverse Collaboration: Work with a global team of students from Taiwan and the US.

  4. Career Advancement: Gain invaluable experience and showcase your project to industry leaders.

  5. Real-World Impact: Develop an AI Tutor app on a topic you’re passionate about.

Course Schedule

Weekly on Friday 17:00-18:30

  1. Dec. 07: Orientation (30 mins)

  2. Dec. 14: Prompt engineering.

  3. Dec. 21: Introduction to AI and Gemini.

  4. Jan. 11: Advanced features of Gemini.

  5. Jan. 18: Setting up and basic interactions.

  6. Jan. 25: Introduction to RAG.

  7. Feb. 08: Building the AI tutor core.

  8. Feb. 15: Integration and user interface development. 

  9. Feb. 22: Testing and evaluation.

  10. Mar. 01: Showcase (90 mins)

Course Objective

By the end of this course, you'll have developed a fully functional AI Tutor app on a topic of your choice, gaining expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies.

Inputs/Activities

  1. Students are expected to join a 10-week online class, each 1.5 hours. Which includes a final project as the coursework.

  2. The final presentation will be done by each team & each member has to speak. How is it for the team to decide for themself.

  3. Optional office hours with the instructors or contact with group coaches

  4. There will be meetups & celebrations as optional social events in person in each country.

Outputs

  1. Land a GenAI app on GitHub as a team of 5

  2. Present the final project & demo the app to the panel of professional judges

Outcomes

  1. Understand the fundamentals of Large Language Models (LLMs),  Retrieval-Augmented Generation (RAG), etc tech by building a GenAI Tutor application. 

  2. Practice the skills to land a GenAI app, working as a team & maximizing learning for the coach. 

  3. Gain hands-on experience to be ready for further research or next job opportunities.   

Impacts

  1. Prototype an AI Tutor for [X] to scale by GenAI & validate how helpful they can be.

  2. Explore what topics GenAI can help & select intern candidates to help relevant non-profit orgs to build.

  3. Cultivate passionate seeds for the next Teaching Assistant candidates for other GenAI courses for high schoolers.  

Principles

  1. Learning by doing: with hands-on, project-based learning with weekly tasks and milestones.

  2. Solve a real-world problem: each team will pick the topic they care about from their life. And, the coaches will guide the team & the project as that in their professional work.  

  3. Accelerate & Augment by AI: students are encouraged to use any AI tools to help them gain deep knowledge, acquire new skills, and accelerate the progress.

  4. Teamwork rules: students will learn from each other & help each other to achieve the total achievement is much bigger than the total of the sum.