AI 课程体系 · 培训
AI 课程体系，一门一门看。
251 门课程和 29 场由一线实践者授课的工作坊，覆盖工程、产品、数据、销售、财务、法务、人力、运营、管理与风险中的 AI。合计 700.5 接触学时。每门课都写明级别、学时、所用工具，以及你带走的产出物。
这不是视频库。课程在浏览器环境中授课，配有带教练习。实验按你交付的东西打分。工作坊由为咨询与平台部门交付一线工作的实践者现场带教。
门课程，覆盖 16 个主题
接触学时的授课内容
场由实践者授课的工作坊，65 节
个计分实验。你来做，我们来评
工作坊
29 场工作坊，现场带教。65 节，223 接触学时。每期限额，保证每个人都动手。下面的课节安排按分钟公开。
- 1 节共 3 学时最多 40 人
AI Foundations Workshop
Learn what AI models can and cannot do, agree how company data may be used, and leave with a plan for the first tasks you will hand over.
面向All employees, no prior experience needed
- 2 节共 6 学时最多 30 人
Prompt Engineering Intensive
Learn the prompting patterns that produce reliable results, then rebuild your team's real prompts into a shared library that anyone can use.
面向Anyone who has completed AI foundations
- 3 节共 10.5 学时最多 24 人
AI-Assisted Engineering Bootcamp
Learn to use AI coding assistants on your own codebase, from writing specifications to reviewing generated code, and agree the standards your team will work to.
面向Software engineers at any level
- 1 节共 7 学时最多 20 人
Build an AI Feature in a Day
Take a single AI feature from idea to a working, tested version in one day, including the test set and cost model that let you defend it.
面向Engineers, with their product manager alongside
- 2 节共 8 学时最多 20 人
Building RAG Systems
Learn to build a retrieval system over your own documents, then measure and improve its accuracy instead of guessing at it.
面向Engineers working with company documents
- 3 节共 10.5 学时最多 18 人
Agents and MCP Build Lab
Learn to build an AI agent that connects to your internal systems through MCP, with the permissions and monitoring needed to run it safely.
面向Engineers building systems that take actions
- 2 节共 7 学时最多 24 人
AI Evaluation Bootcamp
Learn to define what good means for an AI feature, build a test set from real cases, and wire it into your pipeline so quality cannot drop unnoticed.
面向Engineers, product managers and data scientists
- 2 节共 8 学时最多 16 人
AI Red Team Workshop
Learn to attack your own AI systems the way an adversary would, then write the findings up so that engineers can act on them.
面向Security engineers, senior developers and architects
- 2 节共 7 学时最多 18 人
AI Production Readiness
Learn to run AI systems in production, covering gateways, cost, latency, model changes and what to do when the system fails at scale.
面向Platform engineers, site reliability engineers and senior developers
- 3 节共 9 学时最多 24 人
AI Product Management Intensive
Learn to select, specify and launch AI features when you cannot predict the output, including how to write requirements as measurable tests.
面向Product managers and product owners
- 2 节共 6 学时最多 20 人
Designing AI Interfaces
Learn to design for uncertainty, showing confidence, handling errors and building trust in a product that is sometimes wrong.
面向Product designers, UX researchers and content designers
- 1 节共 4 学时最多 14 人
AI Strategy for Executives
Review your organisation's AI initiatives, work through the buy, build or wait decisions, and commit to a small number of priorities with named owners.
面向Chief executives, functional heads and board members
- 2 节共 7 学时最多 20 人
AI Governance Clinic
Build an inventory of the AI already running in your organisation, classify it by risk, and draft a policy that people will actually follow.
面向Risk, compliance, legal, internal audit and security
- 3 节共 9 学时最多 20 人
Claude Masterclass
Learn to work with Claude in depth, from setting up projects and using Claude Code through to building Agent Skills and MCP integrations.
面向Teams standardising on Anthropic's tools
- 2 节共 6 学时最多 20 人
Workflow Automation Lab
Learn to automate a real business process from start to finish using visual tools, with no coding required at any point.
面向Operations staff, process owners and function leads
- 2 节共 7 学时最多 24 人
AI for Data Analysts
Learn to move faster from question to answer using AI, while keeping the checks that stop an incorrect figure reaching a report.
面向Analysts, business intelligence teams and finance analysts
- 2 节共 6 学时最多 30 人
AI for Revenue Teams
Learn to use AI across research, outreach, content and customer support, and agree as a team where the line on authenticity sits.
面向Sales, marketing and customer success teams
- 2 节共 6 学时最多 24 人
AI for Finance and Legal
Learn to process contracts and financial documents with AI, keeping the control steps and audit trail your auditors will expect to see.
面向Finance, financial planning, legal and contracting teams
- 2 节共 6 学时最多 24 人
AI for HR and Recruiting
Learn to use AI across hiring, onboarding and employee support, and test your own workflow for bias before it goes anywhere near a candidate.
面向Human resources, talent acquisition and people teams
- 3 节共 10.5 学时最多 20 人
AI-Native SDLC Design Workshop
Redesign how your team actually delivers software now that agents write most of the code, phase by phase, ending with a lifecycle your team has agreed to run.
面向Engineering leads, principal engineers, QA and release owners
- 4 节共 14 学时最多 18 人
Harness Engineering Bootcamp
Build the system your agents run inside, covering rule files, skills, hooks, sandboxes and the evaluations that tell you whether any of it is working.
面向Platform engineers and senior developers who own shared tooling
- 3 节共 10.5 学时最多 16 人
Loop and Graph Engineering Lab
Build an agent loop by hand, then rebuild the same work as a graph with branching and parallel execution, and learn when each shape is the right one.
面向Engineers building agent systems
- 2 节共 7 学时最多 18 人
Agent Orchestration at Scale
Move from supervising one agent at a time to running many, covering the supervised chain, autonomous coordination, and the tooling that makes parallel work visible.
面向Senior engineers and technical leads
- 3 节共 10.5 学时最多 18 人
Cloud-Native DevSecOps Pipeline Lab
Build security into every stage of a delivery pipeline, from the developer's editor through to running containers, and measure what each stage actually catches.
面向Platform, DevOps and security engineers
- 2 节共 8 学时最多 16 人
Kubernetes AI Security Workshop
Secure a real Kubernetes environment using behavioural baselines, generated network policies and admission control, without slowing down the teams deploying to it.
面向Platform and security engineers running Kubernetes
- 2 节共 6 学时最多 16 人
AI Engineering Platform Kickstart
Set up the team and the shared tooling that everyone else builds on, covering the golden path, a safe place to experiment, and how adoption actually spreads.
面向Engineering leadership and platform team leads
- 3 节共 10.5 学时最多 18 人
Deep Learning Foundations Workshop
Build and train neural networks from first principles, covering images, sequences and the training problems that appear once models get larger.
面向Data scientists and machine learning engineers
- 2 节共 7 学时最多 20 人
Warehouse-Native AI Workshop
Run generative AI next to your data instead of moving it, using the warehouse platform your organisation already pays for.
面向Data engineers, analytics engineers and BI teams
- 2 节共 6 学时最多 24 人
AI Ethics and Responsible Use Clinic
Work through the ethical decisions your organisation is already facing, and leave with positions your teams can actually apply.
面向Anyone making decisions about how AI is used