Nick’s Mega Ultra Fun Watsonx Agentic Crash Course

Welcome to the ultimate crash course on building AI agents with Watsonx! This comprehensive course will take you from zero to hero in the world of agentic AI, covering three different approaches to building agents.

Course Overview

This course is designed to give you hands-on experience with building AI agents using different levels of technical complexity. Whether you’re a business user, a low-code developer, or a seasoned programmer, there’s a path for you.

What You’ll Learn

By the end of this course, you’ll be able to:

• Build no-code agents using Watsonx Orchestrate
• Create visual agent workflows with Langflow
• Develop sophisticated agents with Langgraph and Python
• Implement proper AI governance and evaluation strategies

Course Structure

This course is organized into four progressive chapters:

Chapter 1: Orchestrate

No-code agent building with Watsonx Orchestrate

Perfect for business users and those new to AI agent development. Learn to build powerful agents without writing any code.

Chapter 2: Langflow

Visual agent development with drag-and-drop workflows

The perfect middle ground between no-code simplicity and full programming control. Build complex agents using a visual interface.

Chapter 3: Langgraph

Pro-code agent development with Python

For developers who want complete control. Build sophisticated, production-ready agents with advanced capabilities.

Chapter 4: Governance

AI governance, evaluation, and monitoring

Essential skills for deploying AI agents responsibly in production environments. Learn evaluation frameworks and monitoring strategies.

Prerequisites

Before you begin, make sure you have:

• A basic understanding of AI concepts
• Access to Watsonx services (instructions provided in each section)
• Python 3.11+ installed for the Langgraph section
• Git for cloning the repository

Repository Structure

WatsonxAgenticCrashCourse/
├── 1. Orchestrate/     # No-code agent building
├── 2. Langflow/        # Low-code visual development
├── 3. Langgraph/       # Pro-code Python development
├── 4. Governance/      # AI governance and evaluation
└── docs/              # Course documentation (this site)

Getting Started

1. Clone the repository:

   git clone https://github.com/nicknochnack/WatsonxAgenticCrashCourse . 
   

2. Install dependencies:

   pip install uv
   uv sync
   

3. Choose your learning path:
   • New to AI agents? Start with Orchestrate
   • Want visual development? Jump to Langflow
   • Ready for coding? Go to Langgraph
   • Interested in governance? Check out Governance

Support

If you have questions or need help:

• Check the README files in each section folder
• Review the code examples and documentation
• Reach out during the course sessions

---

About the Instructor

Nick Renotte - AI Engineer and Content Creator
Version: 1.x
License: MIT License