CLAUDE CODE MASTERCLASS for Professionals+Claude AI No Code: Build AI Powered Apps with Claude Code Agents Workflows and No Code Tools

Paul Ashun

₱10149.99

Video Aug 2026 4hrs 5mins 1st Edition

Paul Ashun

₱10149.99

Video Aug 2026 4hrs 5mins 1st Edition

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Download Code

Key benefits

Claude Code foundations cover workspace choices, setup, project context, and AI workflows
End to end app building shows how planning, live data, GitHub, and deployment connect
Agentic scaling shows how skills, hooks, subagents, MCP, and routines improve delivery

Description

Begin by seeing where Claude Code fits in the Claude ecosystem and how it differs from Claude Chat and Desktop. Choose desktop, IDE, or CLI workflows, install the tools, review plan options, and start an interactive session. Then create a project foundation with CLAUDE.md, use Plan Mode to shape a home screen, and turn a design image into a working interface. Next, move into practical app building. Develop a team dashboard, connect live fixture data, create AI-powered match intelligence with the agentic loop, and save progress with Git and GitHub. As the app grows, create reusable slash commands and skills, enforce quality gates with hooks, and use parallel agents and subagents for group tables and player intelligence cards. Finally, extend the app through MCP and connectors, automate recurring work with routines, and prepare it for public release. By following the Pashun Sports World Cup app from setup through AI-led development, live data, agents, automation, version control, and deployment, you will experience a complete Claude Code workflow before publishing with Vercel.

Who is this book for?

This course is designed for developers, technical professionals, product builders, entrepreneurs, and AI enthusiasts who want to use Claude Code for practical application development and AI-led workflows. Basic familiarity with software projects and web applications is helpful, but deep coding expertise is not required. Learners should be comfortable installing software, following technical instructions, and using web-based tools.