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Build Web Apps using Claude code & Spec Driven Development
New
8 students

Build Web Apps using Claude code & Spec Driven Development

No Hype. No Slop. Real Builds.
New
Created byVishnu Kota
Last updated 6/2026
English

What you'll learn

  • Learn the foundational Claude CLI commands
  • Configure the Model Context Protocol (MCP)
  • Designing robust, autonomous Multi-Agent Systems (MAS)
  • Implement Context Engineering
  • Optimize Token Budgets & Costs
  • Establish Agentic Learning Patterns
  • Execute Specification Driven Development
  • Architect and Deploy Virtual Teams
  • Build and Ship a Real Application

Course content

5 sections • 17 lectures • 2h 55m total length

  • Course Preview6:46
  • Claude Code Project Setup5:55

    Setup Claude Code in your desktop.

  • Claude basic commands11:49
  • Agentic AI Basics10:58
  • Claude Code Commands

Requirements

  • A basic understanding of programming or tools such as VS Code and Java can be beneficial, but it is not mandatory.
  • This course is suitable for both beginners and intermediate learners.
  • A sense of curiosity about how AI-driven automation can improve coding productivity, code quality, and team workflows
  • Access to a computer with the necessary installation permissions to set up Claude Code and VS Code used in the course.

Description

Building Applications Using Claude Code — From AI Aware to AI Builder

The AI world is loud. Hype cycles, viral demos, auto-generated code that nobody understands and nobody maintains — it's everywhere. This course cuts through all of it.

This is a practical, no-nonsense program designed specifically for software and IT professionals who want to build real, production-quality applications using multi-agent AI systems powered by Claude Code. No buzzwords. No shortcut tricks. Just solid concepts, repeatable patterns, and hands-on demos that actually work.

You will start from the ground up — installing and mastering Claude Code, understanding the CLI, creating custom commands, configuring MCP servers, and managing sessions, memory, and context like a professional. From there, you will step into the architecture of multi-agent systems: how agents collaborate, how they fail, why they drift, and how specification-driven development keeps them grounded and reliable.

The course then moves into the core patterns that separate production agentic systems from toy demos — context engineering, handoff protocols, session resumption, and virtual team design. You will learn how to build a team of specialized agents — architect, backend, frontend, QA, and orchestrator — and direct them as a cohesive unit.

In the final module, you bring everything together. You kick off your virtual team, handle real execution challenges, test your application end-to-end using MCP Playwright, and ship a complete full-stack web application built by agents you designed and orchestrated.

By the end of this course, you will not just be aware of agentic AI — you will be building with it.

Tech stack: Claude Code · Java / Spring Boot · React · Docker · MCP Playwright

4 modules · Hands-on demos · Real application delivered

Who this course is for:

  • Software Developers, Software Architects, and QA Engineers: Professionals ready to move beyond manual syntax and unpredictable "vibe coding." If you want to elevate your workflow by orchestrating Multi-Agent Systems to autonomously build, test, and containerize heavy-duty tech stacks (Java, Spring Boot, React, PostgreSQL, Drools), this course is your blueprint.
  • Product Managers, Tech Leads, and Engineering Directors: Leaders looking to eliminate delivery bottlenecks and scale their technical teams' output. You will learn how to leverage Specification Driven Development (SDD) to translate your OpenAPI contracts and business rules directly into production-ready software, dramatically accelerating your time-to-market.
  • Technical Founders, Designers, and Systems Thinkers: Visionaries who want to close the gap between idea and execution. Even if you aren't a daily coder, if you can define strict requirements—like a Figma design or Markdown logic—this course will teach you how to command a "Virtual IT Department" of AI agents to build and thoroughly test your full-stack prototypes.
  • Forward-Thinking Technologists and Innovators: Anyone aiming to master the next major evolution in software development. If you want to understand how the Model Context Protocol (MCP), context engineering, and autonomous AI tool use are fundamentally transforming how products are delivered, this is exactly where you start.
  • Java or Python or NodeJS Developers

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