本课程是一门面向具备基础编程能力的开发者、旨在培养“AI 工程师”而非“AI 使用者”的高阶实战视频课程。
课程总长近 5 小时（4.24 GB），专注于教导学员如何正确使用 Anthropic 的 **Claude Code 智能体（Agentic AI）工具，拒绝盲目复制粘贴，而是树立“完成不等于验证（Done vs Verified）”的严谨工程纪律。学员将在课程中从零开始构建一个全栈生产级项目——Telusko 工作流引擎（看板式内容追踪器），后端采用 FastAPI、SQLAlchemy 2.0、Pydantic v2 和 Alembic，并加入生产级的 JWT 身份验证与基于角色的访问控制（RBAC）；
此外，课程还将深度解锁如何通过模型上下文协议（MCP）**将 Claude 连接至 GitHub，利用 Docker 容器化应用，并最终将其部署到 Google Cloud Run 获得真实的公网 HTTPS 统一资源定位符（URL），帮助开发者真正把 AI 转化为强力的编程队友，全方位升级现代全栈开发与运维（DevOps）工作流。
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.24 GB | Duration: 4h 55m
Agentic AI development from setup to production. FastAPI, JWT, RBAC, GitHub MCP, Docker & Google Cloud Run.
What you’ll learn
Build and deploy a complete full-stack app with Claude Code, from first prompt to a live Google Cloud Run URL
Control the agentic loop using permissions, checkpoints, project memory, slash commands, and sub-agents
Add production-grade JWT authentication and role-based access control to a FastAPI backend
Connect Claude to GitHub with MCP, package the app with Docker, and deploy it to Google Cloud Run
Requirements
Basic programming familiarity (you should be comfortable reading and writing code)
Description
Stop using AI like a search engine. Start using it like a teammate.Most developers use AI the wrong way. They ask a chatbot for code, paste it in, and ship it, hoping it works. This Claude Code course teaches the discipline that separates engineers who ship reliable software from those who ship and hope.You will build a real, full-stack production application with Claude Code, from your first prompt to a live HTTPS URL on Google Cloud Run. Not a toy project. A complete app with a database, JWT authentication, role-based access control, and a real deployment pipeline.Throughout the course you will learn one core principle of professional AI development: “Done” is not the same as “Verified.” The AI does the work. You do the verification.What you will learnInstall, configure, and master Claude Code the right wayControl the agentic loop with permissions and checkpointsGive Claude project memory using a CLAUDE markdown fileUse slash commands for precise, repeatable workflowsRun parallel agents with sub-agents and Git worktreesBuild a full FastAPI backend and wire it to a real frontendPractice spec-driven development with custom commands and skillsAdd production-grade JWT authentication and role-based access controlConnect Claude to GitHub using the Model Context Protocol (MCP)Package your app with Docker and deploy it to Google Cloud RunApply the “Done vs Verified” discipline to everything you buildWhat you will buildEvery lesson builds one real project: the Telusko Workflow Engine, a Kanban-style content production tracker with full authentication and role-based permissions.Your finished application includes:A FastAPI backend with async SQLAlchemy 2.0, Pydantic v2, and AlembicA clean vanilla JavaScript frontend with no framework bloatJWT authentication with bcrypt-hashed passwordsServer-side role-based access control across four user rolesGitHub integration through the Model Context Protocol (MCP)A Docker container and a live deployment on Google Cloud RunYou will deploy your own version and get a real public URL you can open on any device.Why this course is differentThis is a single production project built across every lecture, not a set of disconnected tricks. You learn how the pieces fit together in a real workflow.It is honest about the limits. You learn when to trust Claude Code, when to verify, and when to take the wheel yourself.It treats you like an engineer. You learn to read every diff and verify every change, so you can apply these patterns to your own projects long after the course ends.Every prompt, spec file, and command used in the course is included as a downloadable resource.Who this course is forDevelopers new to AI tools who want to learn agentic development correctly from the startDevelopers already using ChatGPT, Claude, or Copilot who want to level up from AI user to AI engineerFull-stack, backend, and Python developers who want a project-based path to mastering Claude CodeAnyone who wants a production-ready application in their portfolioThis is not a no-code course. It is for people who write code and want AI to make them far more effective.RequirementsBasic programming familiarity (you should be comfortable reading and writing code) Some exposure to Python, JavaScript, or the command line is helpful A Windows or Mac computer (both are covered) No prior experience with Claude Code or AI agents requiredReady to build?By the end of this course you will have a real application deployed to the internet, a portfolio project you are proud of, and the discipline to build reliably with AI on your own work.Enroll now and start building.
Developers new to AI tools who want to learn agentic development correctly from the start
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