🚀 Hands-on AI for Leaders

Build AI workflows and agents that automate workflow bottlenecks and save 10+ hours/week

This repository contains the source code, prompts, and examples for the Hands-on AI for Leaders course - a practical 4-week program designed to help leaders master AI tools and build autonomous systems without prior coding experience.

📚 About the Course

Instructor: James Gray - Former Microsoft Data Scientist & Berkeley Haas AI Strategy Instructor

What You'll Learn:

• 🤖 Master AI assistants to boost productivity
• 🔄 Build AI workflows that automate repetitive work
• 🧠 Create multi-agent systems for autonomous outcomes
• 💻 Use AI for code generation (no coding experience required)
• 📊 Strengthen technical expertise to lead AI initiatives

🗂️ Repository Structure

This companion repository provides all the code examples, templates, and resources you'll need throughout the course:

Week 1 - AI Assistant Foundations

Focus: Master prompt engineering and AI assistant capabilities

• Prompt templates and patterns
• Style guides and audience customization
• Real-world assistant examples

Week 2 - AI Workflows with Assistants and No-Code Platforms

Focus: Build automated workflows without writing code

• Marketing campaign automation
• No-code platform integrations
• Assistant-based workflow design

Week 3 - AI Workflows with Code and Agent Foundations

Focus: Leverage AI to write code and build advanced workflows

• API integrations (OpenAI, Anthropic, Google, Perplexity)
• Custom functions and tools
• Web search and file processing capabilities
• Model Context Protocol (MCP) implementations

Week 4 - Multi-Agent Systems

Focus: Design and deploy autonomous agent systems

• Single-agent implementations
• Multi-agent architectures (handoff, deterministic, agent-as-tool patterns)
• Production-ready agent deployments

🛠️ Getting Started

Prerequisites

• No coding experience required (AI will help you write code!)
• Python 3.11+ (for Week 3 & 4 exercises)
• An AI-powered code editor (setup guide)

📖 How to Use This Repository

• Week 1-2: Browse the prompt templates and workflow examples
• Week 3: Run the Python scripts to understand API integrations
• Week 4: Build and customize your own agent systems

Each week's folder contains:

• 📝 Markdown files with instructions and templates
• 🐍 Python scripts with working examples
• 📁 Output folders showing sample results

🎯 Course Enrollment

Ready to transform how you work with AI? Enroll in the full course to get:

• Live instruction and Q&A sessions
• Access to the course community
• Lifetime updates to course content
• Personalized feedback on your AI implementations

🤝 Support

• Course Support: Available through the Maven platform for enrolled students
• Technical Issues: Create an issue in this repository
• General Questions: Connect with the course community on Slack

📄 License

This repository is provided as a learning resource for course participants.