The-Agentic-AI-Book

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The-Agentic-AI-Book

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# The Agentic AI Book

> [!NOTE]
> 🚧 **Repository Under Construction** — This companion repository is actively being developed and finalized. It is expected to be fully available by **Aug 31, 2026**.

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Welcome! In this repository you will find the companion Jupyter notebooks for the book [**The Agentic AI Book**](https://book.ryanrad.org) written by [Dr. Ryan Rad](https://www.linkedin.com/in/realryanrad/).

From Language Models to Multi-Agent Systems — a practical guide to building production-ready agentic AI systems.

The book is available on:

* 🖥️ [Leanpub](https://leanpub.com/theAgenticAIbook) — E-Book / EPUB *(pick your own price)*
* 🖥️ [Google Books](https://books.google.ca/books/about?id=IAXQEQAAQBAJ) — E-Book / EPUB
* 🖥️ [Gumroad](https://realryanrad.gumroad.com/l/TheAgenticAIBook) — E-Book / EPUB
* 📘 [Amazon](https://www.amazon.com/dp/B0H533DFH4) — Paperback

---
## Table of Contents

We recommend running all notebooks in **Google Colab** for the easiest setup — it provides a free GPU and requires no local installation. All notebooks were built and tested on Colab, making it the most stable platform, though any cloud provider will work.

| Chapter / Lab | Notebook | Deep Dive |
|---|:---:|:---:|
| **Chapter 1: The AI Landscape** — *From Rule-Based Systems to Intelligent Learning* | | |
| &nbsp;&nbsp;&nbsp; 🧫 Lab 1.1 — Machine Learning: From Bits to Beats | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1AzErJSaxElDQvE_dLknb0uOKDwoXtQNy) | <a href="https://drive.google.com/file/d/13X56OFPzDfCDq9AJVPakfebBjuXcu3DL"><img src="https://img.shields.io/badge/%F0%9F%8E%99%EF%B8%8F_Listen-f6e05e?color=f6e05e&logoColor=1a202c"></a> |
| &nbsp;&nbsp;&nbsp; 🧫 Lab 1.2 — Deep Learning: From Pixels to Predictions | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1qn_sTAU3nDZhHhlW3kV7wtPgUH68PnnL) | <a href="https://drive.google.com/file/d/1jLWXDCflfuQ4zlMU1fjCUqZCc8M1z5DK/view?usp=sharing"><img src="https://img.shields.io/badge/%F0%9F%8E%99%EF%B8%8F_Listen-f6e05e?color=f6e05e&logoColor=1a202c"></a> |
| **Chapter 2: Language Models and Multimodal Intelligence** — *The Foundation of Intelligent Agents* | | |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 2.1 — NLP: From Words to Vectors | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1nEH2qJH7-7BP-2bsadnz7HMd7K6NzckU) | <a href="https://drive.google.com/file/d/17xO8VRN0bGcp7iNdPBMi2_BCPY8Y_LTY/view?usp=sharing"><img src="https://img.shields.io/badge/%F0%9F%8E%99%EF%B8%8F_Listen-f6e05e?color=f6e05e&logoColor=1a202c"></a> |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 2.2 — Sequential Modeling: From Memory to Attention | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1rL94r4TGZYXiw4YE038MKfvOlc59NuMQ) | <a href="https://drive.google.com/file/d/1WFFOn8anBTF9LSok-M7zrGmgYGLOHCUg/view?usp=sharing"><img src="https://img.shields.io/badge/%F0%9F%8E%99%EF%B8%8F_Listen-f6e05e?color=f6e05e&logoColor=1a202c"></a> |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 2.3 — Text Generation: Decoding Strategies & Hallucination | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/14tyo5Xt0u64wU8Y2V9sE8fUUBD4biZze) | <a href="https://drive.google.com/file/d/1i0WH3dsWM6leFejwGNWEMy9j3om0IhjF/view?usp=sharing"><img src="https://img.shields.io/badge/%F0%9F%8E%99%EF%B8%8F_Listen-f6e05e?color=f6e05e&logoColor=1a202c"></a> |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 2.4 — Vision-Language Models: When AI Learns to See and Speak | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1-Fm-JShKCmYo_8JT7KuPx5Y_fGqdfk2m) |
| **Chapter 3: Building with Large Language Models** — *Techniques for Control, Adaptation, and Reliability* | |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 3.1 — Prompt Engineering - Instructing LLMs at Scale | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ny2qvCbx5M9p9SMeeNjmsHOgfZailfxy) |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 3.2 — RAG - Document Q&A Engine with Grounded AI | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/157LSWvHmGBP3o5qShtA9ybDJUEDmLp86) |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 3.3 — SFT - Making LLMs Behave | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1hCcVKfY8LBPusRbWnpMbVd4Hu8QvLSJz) |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 3.4 — RLHF - Making LLMs Helpful & Safe | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1W3em5PFFOm3k-BOk2ieBcCQiu3F-UrhR) |
| **Chapter 4: Agent Building Blocks** — *Core Components and Cognitive Architecture* | | 
| &nbsp;&nbsp;&nbsp; 🧪 Lab 4.1 — Tool Use & the ReAct Pattern | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1VBKLzohUqYB41WftZS0RTu9TAR3Y7iQC) |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 4.2 — Context Engineering & Memory | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1eY_ZolrTPfdyYIuJZMH-4IeL_8qRiznN) |
| **Chapter 5: Multi-Agent Architectures and Design Patterns** — *From Single Agents to Multi-Agent Ecosystems* | |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 5.1 — Multi-Agent Design Patterns | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1A5U3Aj1TYn7rgfHEci3-YHL5pAYQHa7J) |
| **Chapter 6: Production-Ready Agentic AI** — *D2D: From Design to Deployment* | |
| &nbsp;&nbsp;&nbsp; 🧪 Lab 6.1 — Optimization and Observability | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1cPpHv9Uc6QF7PAAYV2EBbM_uJ9J5NIa5) | 
| &nbsp;&nbsp;&nbsp; 🧪 Lab 6.2 — Safety Evaluation and Guardrails | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1aXlh0RIW4EYgxJKYeJBpMZoEbCmDwy1f) |

> **Tip:** Check the [setup](./setup/) folder for a quick-start guide to install all packages locally. Results may vary slightly depending on your OS, Python version, and dependency versions, but should closely match the examples in the book.
> 
---

## Bonus Content

Stay up to date with supplementary guides, visual explainers, and deep-dives on emerging agentic AI topics via the [AI Doses Newsletter](https://aidoses.substack.com/).

---

## Citation

If you find this book or companion notebooks useful in your research or work, please consider citing:

```bibtex
@book{agentic-ai-book,
  author    = {Ryan Rad},
  title     = {The Agentic AI Book},
  year      = {2026},
  url       = {https://book.ryanrad.org},
  github    = {https://github.com/ryanmrad/The-Agentic-AI-Book}
}
```

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