Building Apps and AI Agents with Claude Code

Building Apps and AI Agents with Claude Code

This course is part of The Complete Claude Code & Claude Cowork Masterclass Specialization

Instructor: Dr. Ryan Ahmed

Access provided by Pontificia Universidad Católica del Perú

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Build, debug, and deploy full-stack applications and websites using terminal-based agentic orchestration.
Design, manage, and deploy a team of autonomous AI agents using the OpenAI Agents SDK and Model Context Protocol (MCP).
Implement custom agent skills, slash commands, and plugins to automate complex, multi-step professional workflows.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the The Complete Claude Code & Claude Cowork Masterclass Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

In this comprehensive masterclass, you will master the revolutionary power of Claude Code and Claude Cowork to build, debug, and deploy full-stack applications. You will learn to design autonomous AI agents, create specialized skills and slash commands, and implement the Model Context Protocol (MCP) to connect your models with external tools like Gmail, Slack, and Salesforce.

Designed for developers, software engineers, and tech professionals, this course bridges the gap between basic prompting and advanced terminal-based agentic orchestration. Through hands-on projects, such as building a calorie tracker with Gemini API routes and constructing a personal finance AI agent with memory, you will gain the practical skills needed to automate complex workflows and manage multi-agent teams. By the end of this course, you will be equipped to leverage state-of-the-art AI SDKs and autonomous workflows, establishing yourself as a highly competitive AI engineer in the modern tech ecosystem.

Establish a solid foundation in Claude Code by setting up your development environment, understanding agent skills, implementing custom slash commands, and leveraging plugins to design front-end projects and assess competition.

What's included

22 videos1 reading1 assignment

22 videosTotal 215 minutes

Getting Started with Claude Code in the Desktop App (Method 1)8 minutes
Claude Code in VS Code: Full Setup + First Workflow (Method 2)12 minutes
Intro to Claude Code12 minutes
Project 1. Build Landing Pages with Claude Code - No Skill (Part A)16 minutes
Understanding Claude Skills & Front-end Design Skill11 minutes
Install the front-end design skill9 minutes
Project 1. Building Landing Pages with Front-end Design Skills (Part B)12 minutes
Why Agents and Claude folders containing the same skill.md3 minutes
Practice Opportunity Question - Build a Pet Grooming Landing Page with AI3 minutes
Practice Opportunity Solution - Build a Pet Grooming Landing Page with AI11 minutes
Claude Slash Commands12 minutes
Project 2. Create Your slash command in Claude Code - Part 18 minutes
Project 2. Create Your slash command in Claude Code - Part 211 minutes
Project 2. Create Your slash command in Claude Code - Part 315 minutes
Practice Opportunity Question - Create a slash command for your brand2 minutes
Practice Opportunity Solution - Create a slash command for your brand12 minutes
Claude Code Plugins14 minutes
Project - Claude Plugin and competitor assessment - Part 110 minutes
Project - Claude Plugin and competitor assessment - Part 212 minutes
Project - Claude Plugin and competitor assessment - Part 37 minutes
Practice Opportunity Question - Competition and Brand Positioning with Plug2 minutes
Practice Opportunity Solution - Competition and Brand Positioning with Plug14 minutes

1 readingTotal 10 minutes

Installation and Setup Guide for Mac and Windows10 minutes

1 assignmentTotal 15 minutes

Module Quiz15 minutes

Learn to build complex applications using Claude Code by exploring CLAUDE.md best practices, managing context windows, and developing a multi-phase Calorie Tracker app integrated with Gemini AI and robust API routes.

What's included

9 videos1 assignment

9 videosTotal 85 minutes

CLAUDE.md Best Practices11 minutes
Context Window Management in Claude Code10 minutes
Calorie Tracker Phase 1- Setup Gemini Key9 minutes
Calorie Tracker Phase 1 - Build a basic app first phase18 minutes
Calorie Tracker Project - Phase 2 - Add Gemini AI6 minutes
Calorie Tracker Project - Phase 2 - Build API Routes plan6 minutes
Calorie Tracker Project - Phase 2 - Build API Routes in action8 minutes
Calorie Tracker Project - Phase 3 - Improve with Ralph Loops Plan5 minutes
Calorie Tracker Project - Phase 3 - Improve with Ralph Loops Implementation11 minutes

1 assignmentTotal 15 minutes

Module Quiz15 minutes

Delve into the AI agents revolution by mastering agentic frameworks and the OpenAI Agents SDK. You will build personal finance agents with memory, automate agent development, configure MCP tools, and deploy complex, multi-agent teams.