Pragmatic AI Labs

Claude From Zero

本课程是 Rust for Data Engineering 专项课程 的一部分

Noah Gift
Liam Parker

位教师:Noah Gift

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

2 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

2 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Pick the right Claude surface for the task: when chat is enough, when a Project pays off, and when Claude Code is the only viable shape.

  • Author slash-command skills that wrap Rust binaries, then constrain parallel sub-agents with YAML contracts so review converges to passing.

  • Replace raw grep with pmat query enrichment flags and wire pmat comply into pre-commit so the gate runs every commit.

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最近已更新!

May 2026

作业

1 项作业

授课语言:英语(English)
91% of learners achieved a positive career outcome

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本课程是 Rust for Data Engineering 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
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  • 获得可共享的职业证书

该课程共有6个模块

Covers five surfaces — claude.ai chat, Projects, Claude Code, Claude Chrome, Claude Design. Same model reasons across every surface; only the interaction shape changes. A chat turn is prompt in, response out, with a side artifact panel for code the model writes. A Project is a named workspace with pinned reference files so every chat inside it sees the same context.

涵盖的内容

3个视频3篇阅读材料

Covers install — one command puts the claude binary on PATH, no model weights download locally. Authentication trades an API key or console login for a persistent session on first run. Permission modes (default, acceptEdits, bypassPermissions, plan) trade autonomy for safety. claude.ai/code runs the same agent in a browser tab with no local install required, and shared sessions let work started in web continue in terminal and vice versa.

涵盖的内容

6个视频4篇阅读材料

Skills are versioned slash-command files Claude Code recognizes from .claude/commands. Each Markdown file becomes a command — type /name and the agent loads the prompt, then runs it. Frontmatter declares an allowed-tools list and a description; the body uses Bash blocks for read-only inspection and an Instructions section for what to change. Skills make recurring workflows discoverable and reproducible across the team.

涵盖的内容

5个视频4篇阅读材料

Claude Code's Agent tool spawns a fresh sub-agent in an isolated context to run a focused job, then returns a structured report. Use it to dispatch read-only reviews in parallel against a contract, keeping the main session lean. Sub-agents make complex tasks reliable: divide work, scope tools, then merge findings. This module covers when to delegate, how to write contracts the sub-agents must satisfy, and how parallel review increases coverage without explosion of complexity.

涵盖的内容

4个视频4篇阅读材料

Production code needs more than agents. This module locks the loop with pmat — a Rust CLI that replaces grep with ranked function queries by Technical Debt Grade, complexity, and coverage — plus contract gates that validate every change and sub-agent output. CLAUDE.md routes the agent to pmat for search, pmat hooks install enforces pre-commit gates, and YAML invariants pin sub-agent shapes. The full claude-from-zero repo demonstrates all four surfaces working as one cycle.

涵盖的内容

4个视频4篇阅读材料

Synthesize the full Claude stack — surfaces, tool surface, skills, sub-agents, and pmat contracts — into one repeatable, gated workflow you can take into your own repo.

涵盖的内容

2篇阅读材料1个作业

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位教师

Noah Gift
Pragmatic AI Labs
57 门课程3,697 名学生
Liam Parker
Pragmatic AI Labs
6 门课程1,018 名学生

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