This Summer, Let AI Become Your Superpower | Welcome to the Datawhale AI Summer Camp
This summer, let AI become your superpower.
This summer, make AI your superpower.
As an "Innovation Partner Community" of the Datawhale AI Summer Camp, Crossing recommends this free online summer camp to all its members.
At Crossing, we've always been committed to finding, interviewing, and bringing together active movers in the AI era. We recommend the Datawhale AI Summer Camp because it offers not just hands-on learning opportunities, but also a platform that gathers passion and potential — helping you find like-minded partners in AI and jointly drive its development and application.

About the AI Summer Camp
The AI Summer Camp is hosted by Datawhale, in partnership with iFlytek, Alibaba Cloud Tianchi, and Ant Group, with three tracks: machine learning, large model technology, and large model application development.
This is a large-scale AI learning event that brings together industry-academia-research resources and open-source contributor strength, providing learners with hands-on opportunities to enhance their professional skills and job competitiveness.
In 2023, the AI Summer Camp attracted 18,827 learners from 1,387 universities worldwide.
What You'll Gain
Discover your next breakthrough in the AI summer camp.
- Learning Support: There are no teachers here, only a group of passionate contributors who support beginners together.
- Big-Tech Projects: Selected latest projects from major tech companies, suitable for hands-on learning, helping students build up their project experience.
- Internship Certificates: Summer internship certificates and internship certification opportunities to boost your job competitiveness.
- Code Deep-Dive: Line-by-line code interpretation, sharing practical project experience.
- Certificates & Awards: Completion certificates recognized by well-known enterprises and outstanding scholarships.
- Community Exchange: Datawhale learners cover over 2,000 universities at home and abroad, including domestic institutions like Tsinghua University, Peking University, Shanghai Jiao Tong University, and Fudan University, as well as international ones like MIT, CMU, Stanford University, and Cambridge. Learn and exchange with fellow learners globally, building warm peer relationships.
About Datawhale
Founded in 2018, Datawhale is the largest open-source learning organization in China's AI field.
Datawhale covers over 2,000 universities at home and abroad. From individual learners to influential experts, renowned professors, entrepreneurs, and young contributors, all share knowledge and insights here. It has become a main hub for nurturing young talent, a bridge connecting universities and industry, continuously driving youth talent development.
Datawhale has open-sourced 51 learning tutorials (and counting), preliminarily building out an AI Training Program, hoping to provide a practical learning roadmap for those newly exploring AI.
Datawhale has published three books: Machine Learning Formula Detailed Explanation — Pumpkin Book, EasyRL: Reinforcement Learning Tutorial — Mushroom Book, and Pandas Data Processing and Analysis — Panda Book.

- Above: Datawhale community members with Dr. Wang Jian
Learning Curriculum
The first phase is divided into three tracks: machine learning, large model technology, and large model application development:
Machine Learning Track
- Full-process machine learning practice experience
- Line-by-line code deep-dive
- Full-process large model tuning experience
- Advanced practical skills
Large Model Technology Track
- Full-process large model application development experience
- Spark Large Model API & Gradio implementation
- Practical code explanation
- Team optimization of practice results
- Advanced practical skills
Large Model Application Development Track
- Full-process large model application development experience
- Spark Large Model API & Gradio practice
- Practical code detailed explanation
- Team optimization of practice results
- Advanced practical skills
Registration Information
Registration Period: June 24, 2024 – June 30, 2024
Format: Online event, completely free
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