Claude AI Masterclass: Automation, AI Agents & Claude Code

This course is designed to provide a complete understanding of Claude AI, covering everything from prompt engineering to building real-world automation systems. It focuses on practical implementation using APIs, AI workflows, and agent-based development with Claude Code and Cowork.

Course Overview

Rating: 4.8 / 5 (29 ratings)
Students Enrolled: 260
Duration: 11 Hours
Language: English (Auto subtitles available)
Certificate: Yes
Access: Full Lifetime Access

What You Will Learn

Set up and configure Claude AI, including API keys and development environments
Work with the Anthropic API for building AI applications
Apply prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting
Build multi-step AI workflows using prompt chaining
Manage context limits using advanced strategies like summarization and memory injection
Integrate Claude into Python applications with structured outputs and validation
Optimize API usage with token management and cost control techniques
Use Claude Code for generating, debugging, and testing code
Implement Git workflows, CI/CD pipelines, and code reviews with AI assistance
Build and customize Skills, Plugins, and Hooks
Automate tasks using Claude Cowork for file handling and workflows
Connect Claude with tools like Gmail, Google Drive, and Slack using MCP
Use Claude in web browsers, Excel, and PowerPoint for productivity tasks
Develop production-ready AI automation systems

Vibe Coding Bootcamp: Build Any App, Game or Website with AI

Start Course

Key Topics Covered

Claude AI Fundamentals
Prompt Engineering
API Integration
AI Workflow Automation
Claude Code Development
Claude Cowork Automation

Who This Course Is For

Beginners exploring AI tools and automation
Developers building AI-powered applications
Freelancers automating business workflows
Professionals working with AI and productivity tools

Final Assessment

This course provides a comprehensive approach to learning Claude AI and its ecosystem. It combines prompt engineering, API integration, and automation workflows, making it suitable for learners who want to build practical, production-ready AI solutions.