Learn AI at JRBuild real AI work

Learn prompts, AI engineering and workplace applications on one clear path that produces work you can show.
What's happening in AI
Current stories and durable technical explainers, selected for this page.
Courses & events
Make time to learn with teachers and peers.
大模型如何跑得更快、更省? 低比特量化的原理、方法与前沿进展
17/9, 09:00 · Online
【墨尔本】匠人AI圈·9月Networking Night
18/9, 08:00 · Stomping Ground 100 Gipps St, Collingwood VIC 3066
【悉尼】匠人AI圈 · 9月Networking Night
19/9, 08:00 · Bay 1 Locomotive Workshops South, Eveleigh NSW, Alexandria, NSW, 2015
🚀 AI Engineering in Practice: From Real-World Business Challenges to Production-Ready Solutions
23/9, 07:30 · Level 10, Maritime Trade Towers, 201 Kent Street, Sydney NSW 2000
AI signals and model rankings
The changes worth following, and the rankings that matter for real tasks.
Separate rankings for human preference, overall capability and code repair.
Anonymous human votes
- 01Claude Fable 5Anthropic1506
- 02Claude Opus 4.6 HighAnthropic1505
- 03Claude Opus 4.7 HighAnthropic1502
Quality · speed · cost
- T1Claude Fable 5.1 MaxAnthropic53
- T1GPT-6 Astra MaxOpenAI53
- 03Claude Opus 5 MaxAnthropic51
Real issue resolution
- T1Sonar Foundation AgentClaude 4.5 Opus79.2%
- T1live-SWE-agentClaude 4.5 Opus79.2%
- 03TRAEDoubao Seed Code78.8%
AI learning diagnosis: describe your situation and get a route
Product ecosystem
Tools for learning, careers and certification.

Cert Master
考证匠AI exam coaching: screenshot solving, option analysis, smart debugging and a mistake log across 30+ IT certs (AWS / Azure / GCP).

Job Hunter
求职匠AI job assistant: JD parsing, skill matching, salary insights, interview bank and LinkedIn SEO across Seek / LinkedIn / Indeed.

UniMate AI
牛小匠University study copilot: LMS detection, Socratic guidance, screenshot debugging and assignment breakdown across 8 AU universities.
Huiguoya
huiguoya.jracademy.aiHelps overseas students find better-matched roles and paths when returning to China.
AI learning directions
Explore all 16 learning directions
Vibe Coding
Write code in natural language
Prompt Master
Get useful answers out of any LLM
AI Engineer
Move from using AI to building with it
Context Engineering
The next-generation LLM discipline named by Karpathy
Hermes Agent
Build your own Agent on the open-source Nous Hermes model
AI Builder
Ship AI product prototypes fast
AI Product Manager
Reshape product management with AI
AI Productivity
Kill repetitive busywork with AI
AI Data Analysis
Make data answer the questions you actually have
AI Finance & Accounting
AI for finance and accounting work
AI Content Creation
Generate videos, images, and articles with AI
AI Visual Creation
gpt-image-2 deep dive · scale across 9 social platforms
OpenClaw
Run an AI Agent locally for automation
Frontend Engineering Lab
66 web labs covering the frontend fundamentals
Git Interactive Lab
Practise Git in the browser — basics through team workflows
Interactive Python Course
40 chapters and 30 labs — read and write in parallel
Different roles. Different AI paths.
Select a role to see the JR learning sequence from foundation to delivery.
Business owner · Your learning path
Build reusable prompts for everyday work
COURSEAI 必修课 ↗PRACTICE / RESOURCESPrompt Lab ↗Design an AI pilot for one repetitive workflow
COURSEAI Adoption Specialist Bootcamp ↗PRACTICE / RESOURCESAI Office ↗Produce a business analysis and action plan
COURSEAI for Data Analyst ↗PRACTICE / RESOURCESAI Data Analysis ↗Define ownership, success criteria and a pilot review
COURSEAI Adoption Specialist Bootcamp ↗Course center
Find your starting point. See what you could build next.
AI Engineer Bootcamp
Career switchers with some coding background
Full-Stack Bootcamp
Beginners entering development from zero
Vibe Coding Bootcamp
Turn ideas into products fast with AI
AI PM Bootcamp
Aspiring AI product managers
Preview the learning experience
See the format before you enroll.
Many people are unsure what “learning AI” actually involves. Here are real samples: how a prompt moves from vague to precise, how interactive labs validate as you build, and what cheat sheets and the wiki look like. Switch tabs above to explore.
Rewrite a vague request into a “4-element” prompt
- Role / task / constraints / output format
- Get the answer right in one shot
- Match the result on the right to pass
Role: senior data analyst Task: summarize sales.csv by month with pandas Constraints: pandas only, comment key lines
# Summarize sales by month
import pandas as pd
df = pd.read_csv("sales.csv")
m = df.groupby(df.date.str[:7]).amount.sum()
print(m)✓ Passed: all 4 elements, answered in one shotStudent offers & career stories
Explore job offers, reported salaries and students’ career journeys.
土木工程师 → DevOps Engineer
土木工程师转 DevOps:Bob 半年内薪资翻倍
会计 → 前端工程师
从会计到前端工程师:Alice 的 3 个月转行之路
Software engineer
D同学
- Background
- University of New South Wales
- Program
- AI Engineer全栈项目班

Graduate Software Developer
Derrick
- Background
- University of Sydney
- Program
- Web全栈班Nodejs&React第11期
- Reported salary
- 67,000

Software developer
Z同学
- Background
- University of Melbourne
- Program
- AI Engineer全栈项目班
- Reported salary
- 75,000
Graduate Business Analyst
Y同学
- Background
- University of Melbourne
- Program
- AI 产品经理(BA)训练营+实习

Marketing Data Analyst
Tina
- Background
- University of Melbourne
- Program
- 数据分析项目集训:网络零售商项目 Data Analysis Project eCommerce Retail

Full Stack Developer
Ben
- Background
- University of Queensland
- Program
- Web全栈班12期·Nodejs方向
- Reported salary
- 75,000
整体感觉挺好,把我之前自学的知识串起来了,然后知道实际工作中是怎么用,现在期待接下来的项目,老师非常的好,耐心指导,收获满满!
Chao Mu 老师讲解得非常好,每个知识点都很清晰,附加实际操作,学到很多
老师讲解container的部分时的比喻非常形象让人很好理解
我最大的收获是掌握js的基本语法 怎么搭脚手架 然后一些git的语法的使用;从零起步一步步完成一个项目 我的印象深刻课程:Gary和Ally老师的课程;gary老师的tutorial帮我们强化了语法和概念的使用;ally老师很细心,有问题随时能都反馈
Mentors and community
Guidance and peer momentum keep the route moving.
Mentors come from top companies and real projects — they coach, answer questions and correct your mistakes, not just read slides. In the community, learners on the same track check in, share and team up, so you have someone to catch you when stuck. Learning is not a solo grind.

A learning hub for Chinese AI learners
Free resources updated continuously
As a learning hub for Chinese AI learners worldwide, JR has built up plenty of free resources: a structured wiki, visual roadmaps, 200+ dev cheat sheets, tutorials and public classes. You can start learning before enrolling — see what the field holds and where to begin.
Why start AI now
Trends, opportunities and platform data
The efficiency gap between people who use AI tools and those who do not keeps widening — in coding, content and analysis. AI is no longer a bonus but a baseline skill across industries. The earlier you learn systematically and build real work, the sooner it becomes your edge.
AI is already in JDs, interviews and daily work — learning paths must track real roles.
Demonstrable prompts, automations and RAG apps are more concrete than just “knows AI”.
From ChatGPT to Claude Code, RAG and agents — a path beats scattered bookmarks.

FAQ
Questions before you enroll
Can non-technical learners study AI?
Yes. Prompt Master and AI productivity tracks are designed for non-technical learners.
Will this guarantee an AI job?
No. We provide skills, portfolio projects and career coaching; outcomes depend on your work and market fit.
Are courses live or recorded?
Bootcamps combine live sessions, recordings, labs and projects. Self-paced tracks can be taken anytime.
What does membership unlock?
BASIC membership unlocks learning directions, interactive labs, Cert Master access and member-only content.
Is it taught in Chinese?
The Chinese site is taught in Chinese for learners worldwide; English services target local job seekers.
Not sure where to start? Begin with the diagnosis and roadmaps — every step has a clear entry.

Courses, labs, cheat sheets and AI coaching connect into executable tasks.

Turn each exercise into portfolio evidence, then connect to jobs, certs and courses.

All learning directions · Labs · Free Cert Master · Member-only content
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Start learning systematically, build real work and move into the AI era.
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