First Hello-Agents Class Begins! November’s Most Diverse Team Learning Program Arrives (Up to 18 Courses)
Datawhale Learning Program
Open Source Contribution by the Datawhale Team
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📌 What is Team Learning?
Launched on August 2, 2018, Team Learning is a long-term initiative by Datawhale — now running for its sixth consecutive year.
Core Idea:
- A group of like-minded learners study and discuss together
- Overcome procrastination through mutual motivation
- No teachers, no formal lectures — just a learning community driven by curiosity and change
- Interactive study, mutual progress, and collaborative problem-solving
Past Session Highlight:
Li Mu's sharing — 733 universities worldwide, 9027 people learning together
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🎯 About This Learning Season
- Limited spots — first come, first served!
- Due to overlapping schedules, each participant may register for only ONE course
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🔥 Popular Courses
1. Hello-Agents — Learning AI Agents from Scratch
Course Highlights
- A systematic AI Agent tutorial from Datawhale’s open-source learning community
- Learn core principles, architecture, and paradigms of AI Agents
- Build your own multi-agent applications by the course end
Audience: AI developers, software engineers, students
Capacity: 900 participants
Open Source: https://github.com/datawhalechina/hello-agents
📲 Scan QR code to register
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2. Andrew Ng’s Agentic AI
Course Highlights
- Based on Andrew Ng’s Agentic AI series by DeepLearning.AI
- Chinese translation, detailed summaries, and example code explanations
- Focused on making agent technology accessible
Audience: Students, professionals, beginners to agent tech
Capacity: 540 participants
Open Source: https://github.com/datawhalechina/agentic-ai
📲 Scan QR code to register
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3. Cutting-edge AI Hardware and Large Models for Robotics
Course Highlights
- Covers embodied intelligence, robot control, computer vision, reinforcement learning, and simulation
- Integrates theory and practice
Audience: Robotics enthusiasts with Python basics and math background
Capacity: 540 participants
Open Source: https://github.com/datawhalechina/ai-hardware-robotics
Knowledge Base: Learning Guide on Feishu
📲 Scan QR code to register
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4. Hands-on Agent Application Development
Partnerships
- Modao Community
- Gitlink Open Source Community
Course Highlights
- Learn to design complete, enterprise-grade Agent applications
- Four modules: Cognitive upgrade, foundation building, practical enablement, frontier exploration
- Taught by experts from leading agent startups and enterprises
Audience: Intermediate-level developers with Python basics
Capacity: 300 participants
Open Source: https://gitlink.org.cn/datawhalechina/build_good_agents
📲 Scan QR code to register
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5. Happy-LLM — Principles and Practice of Large Language Models
Course Highlights
- Systematic LLM tutorial, covering theoretical foundations (Chapters 1–3 this term)
- Includes code framework integration, manual build-and-train exercises
Audience: Learners with deep learning basics
Capacity: 300 participants
Open Source:
📲 Scan QR code to register
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6. Wu Enda — Post-training of LLMs
Course Highlights
- Based on DeepLearning.AI’s Post-training for LLMs series
- Chinese translation + structured tutorials
- Covers optimization techniques and real-world application cases
Audience: Learners interested in LLM optimization and domain-specific adaptation
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/Post-training-of-LLMs
📲 Scan QR code to register
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7. Nanochat Chinese Edition — Code Your Own LLM
Course Highlights
- Full-stack LLM learning: minimal dependencies, clear code structure
- Includes deep algorithm explanations, optimization analysis, and visualizations
Audience: Learners seeking deep LLM principle mastery
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/code-your-own-llm
📲 Scan QR code to register
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8. Full-Stack RAG Technology Guide
Course Highlights
- Build production-level Q&A and knowledge retrieval systems
- Master RAG applications with structured theory + projects
Audience: Python developers, AI engineers, product developers, researchers
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/all-in-rag
📲 Scan QR code to register
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📖 Foundational Courses
9. Zhou Zhihua’s Machine Learning (Watermelon & Pumpkin Books)
Overview
- Classic undergraduate-friendly ML textbook
- Mathematically grounded in calculus, algebra, statistics
Audience: Students with undergraduate mathematics background
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/pumpkin-book
Online: https://www.datawhale.cn/learn/summary/2
📲 Scan QR code to register
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10. Hung-yi Lee’s Deep Learning Tutorial
Audience: Learners with calculus, algebra, and probability/statistics background
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/leedl-tutorial
📲 Scan QR code
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11. EasyRL — Reinforcement Learning Tutorial
Audience: Learners with ML basics
Capacity: 180 participants
Open Source:
📲 Scan QR code
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12. FunRec — Recommendation System Tutorial
Audience: Beginners aiming for recommendation-related roles
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/fun-rec
Online: https://datawhalechina.github.io/fun-rec/#/
📲 Scan QR code
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13. Mathematics Fundamentals for AI
Audience:
- University engineering students
- Beginners in AI/ML
- Practitioners seeking stronger foundations
- Capacity: 180 participants
- Open Source: https://github.com/datawhalechina/math-for-ai
📲 Scan QR code
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14. Fundamentals of Pattern Recognition
Audience: Beginners in pattern recognition
Capacity: 180 participants
Open Source: https://www.datawhale.cn/learn/summary/99
📲 Scan QR code
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🛠 Practice-Focused Courses
15. OpenAI Official Agent Framework
Audience: Complete beginners
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/wow-agent/
📲 Scan QR code
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16. Workflow Automation with n8n
Audience: Professionals, developers, technical teams
Capacity: 180 participants
Open Source: https://github.com/datawhalechina/handy-n8n
Online: https://datawhalechina.github.io/handy-n8n/
📲 Scan QR code
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17. Coze: Building AI Agents
Audience: Learners starting from scratch
Capacity: 180 participants
Open Source:
📲 Scan QR code
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💡 Youth Program
18. 21-Day Coding Challenge (C++, Python, Graphical Programming)
Audience: Primary & secondary school students preparing for GESP certification
Capacity: 180 participants
📲 Scan QR code
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✅ End of course listing — choose ONE program, register early, and join the Datawhale learning community!
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If you want, I can now create a clean summary table of all 18 courses with their Audience, Capacity, and Links so it’s easier to navigate and compare.
Would you like me to prepare that?
