
Master how to build AI apps without coding using Claude Code and agentic development. Turn ideas into production-ready software with live projects and real data.
Trace the rise of machine learning from data-driven systems to large language models, transformers, and prompt engineering that enable GPT, ChatGPT, and natural language understanding.
Discover how Cloud Code differs from Cloud Chat and Cloud Co-Work, and how agentic AI plans, executes, and deploys complete applications without writing code.
Compare the three Cloud Code workspaces—desktop app, IDE, and CLI—and learn why the desktop app is the right choice for this course.
Download the Mac OS DMG for Claude Desktop from claude.com/download or claude.ai, drag it to the applications folder, and open the app to start using Claude.
compare claude plan options to access claude code and upgrade to pro, max, team, or enterprise to unlock workspace options, RBAC, and the full claude desktop app.
Discover how Claude code fits inside the Claude desktop app, using chat, co-work, and code tabs. Learn how five permission modes control Claude Code's autonomy.
Learn how to use Claude code with plain language instructions to build apps without coding knowledge, using user stories, acceptance criteria, edge cases, and app states for precise results.
Choose between hands-on development and AI-led development using Cloud Code by setting the mode selector to ask permissions or accept edits, balancing speed and oversight.
Learn to have your first conversation with Claude Code using interactive chat mode, asking clarifying questions to define a project with live data and AI-generated analysis.
Set up your first Cloud Code project by choosing the root folder in the Claude Desktop app, using a single empty folder, and testing Cloud Code reads context.
Learn to create a Claude.md file to establish a persistent project knowledge base; Claude reads it at session start, preserving tech stack, typography, fonts, folder structure, and design decisions.
Learn to create and test a Claude.md for the Passion World Cup app. Explore seven Claude.md sections, data sources, and runtime data fetches powered by Next.js and TypeScript.
Plan mode lets Claude read your project and propose a plan before any file changes; you review, approve, and Claude builds the home screen per your brief, including edge cases.
Learn how to build the home screen using design images for mobile-first layouts, guiding Cloud Code with desktop and mobile designs and Claude MD rules for accurate visuals.
Build the team dashboard autonomously in accept edits mode from a complete brief and design images, creating the modal selector and the full dashboard with formation, pitch, and player details.
Connect live World Cup data to your app using REST APIs from WorldCup26.ir and sportdb.dev, manage API keys with .env.local, and render real fixtures on all screens.
Create AI-powered match intelligence by using an agentic loop to fetch live match data and group data from sportsdb.dev, generate AI analysis with the Cloud API, and render the screen.
Learn to save and share your work with Git and GitHub, set up an account, commit changes, push to GitHub, and create a pull request.
Master slash commands and skills to create reusable shortcuts in Claude Code, saving prompts as templates and automating checks like screen reviews and PDF generation.
Enforce automatic quality with Claude code hooks that run after edits, before edits, and after tasks, ensuring every change is checked and fixed without manual steps.
Build the group tables screen with parallel agents to render four independent group tables (A–D) simultaneously using the World Cup 26 feed, boosting speed and efficiency.
Learn to build a player intelligence card using sub-agents to separate layout from data integration, ensuring high-quality cross-screen data passing and effective mock data handling.
Connect your cloud code to external services using MCP and connectors, a universal standard enabling one-click, cross-platform integrations through the connectors directory, custom URLs, and settings files.
Deploy the passion world cup app to vercel from github, performing pre-deployment checks, set environment variables, and publish a live url with automatic redeploy on changes.
This course contains the use of artificial intelligence
LIVE COURSE — CONTINUOUSLY UPDATED
This course evolves in real-time alongside Claude Code's capabilities. When Anthropic ships new features, we add new lessons so you're always building with the latest version of the most powerful AI coding agent available.
This is the only Claude Code course built for professionals even if they don't write code. In this masterclass, you will go from zero to deploying a real, live AI-powered web application — the Pashun Football Intelligence App Platform — using Claude Code inside Claude Desktop, entirely without touching a single line of code by hand. You will learn how Agentic AI works, why Claude Code is fundamentally different from Claude Chat and Claude Cowork, and how to harness its autonomous reasoning to plan, build, test, and ship production-ready software in hours instead of months. This is not a course about prompting. This is a course about building.
You will master every mode and capability that separates professionals from beginners: Plan Mode for architectural thinking before a single file is touched, Accept Edits for supervised autonomous builds, Auto Mode for fully hands-off development. You will connect live data sources and external services using the Model Context Protocol (MCP), enforce your standards automatically with Hooks and CLAUDE . md, and deploy your finished application to Vercel — live on the internet, accessible from any device. Every technique is demonstrated on a real app, with real data, in real time.
By the end of this masterclass, you will have built and deployed a complete AI-powered web application entirely through Claude Code, with no coding required — and you will understand the agentic architecture behind every decision you made. Whether you are a Product Manager who wants to ship ideas without an engineering team, a founder building fast without hiring developers, a Scrum Master who wants to understand what your team is building, or a senior professional who refuses to be left behind by the AI economy — this course gives you the capability, the confidence, and the certification to prove it. You will leave with a deployed application in your portfolio, a working knowledge of the most in-demand AI development tool in the world, and great preparation for the Claude Certified Architect Foundations (CCA-F) exam.