You see the headlines every day. New models, bigger benchmarks, flashier demos. It is thrilling, but let’s be honest, it can also be incredibly overwhelming. As a student or a developer, you might feel like you’re standing on the shore watching a massive wave approach, wondering if you should run from it or learn how to surf. That is why I am incredibly humbled and excited to announce the release of my new book: Hands-on GenAI, LLMs, and AI Agents.
I wrote this book not just to explain what these technologies are, but to show you exactly how to build with them, from the first line of code to a deployed application.
Hands-on GenAI, LLMs and AI Agents: What’s Inside the Book
I have structured this guide to be a comprehensive journey through the modern AI landscape. We don’t just skim the surface; we dive deep into the mechanics.
Here is the technical breakdown of what we cover:
- Prompt Engineering Patterns: Moving beyond basic questions to structured, reliable outputs.
- RAG (Retrieval-Augmented Generation): How to ground your AI in your own private data so it doesn’t hallucinate.
- Fine-Tuning: Using LoRA (Low-Rank Adaptation) to specialise LLMs for your specific needs.
- Multimodal AI: Working with images and text using Diffusion Models and Visual Question Answering (VQA).
- AI Agents: The frontier of AI; building systems with memory, tools, and the ability to plan and execute multi-step workflows.
The Projects You Will Build
Theory is useful, but code is the truth. In this book, you will build portfolio-ready projects, including:
- Chat with Your PDF: A RAG-based system to query documents.
- Positive-Persona LLM: A fine-tuning exercise to control tone and behaviour.
- Visual Question Answering: An eye for your AI.
- Blog Thumbnail Generator: Automating creativity with diffusion models.
- Multi-Agent Workflows: Orchestrating a team of AI agents to solve complex problems.
So, Is This Book For You?
I wrote this with a specific reader in mind: the curious builder.
You don’t need a PhD in Mathematics to start. If you have basic Python skills (loops, functions, dictionaries) and aren’t afraid of the command line, you have everything you need.
It is perfect for:
- Students wanting to future-proof their skills.
- Developers transitioning from traditional coding to AI Engineering.
- Data Scientists expanding into the world of Generative AI.
- Professionals who want to build actual products, not just prototypes.
Find this book here:
A Note on the Journey
Writing code for Generative AI feels different from traditional programming. It is less about rigid logic and more about guiding a probability engine. It requires a mix of technical rigour and creative intuition.
My hope for this book is that it serves as a compass. I want it to give you the confidence to experiment, break things, and build systems that solve real problems.
Hands-on GenAI, LLMs, and AI Agents is available now. Let’s start building.
