Hernando Abella
Generative AIMachine LearningPython

Generative AI with Python

Master RAG pipelines, AI agents, vector databases, and multimodal systems with hands-on projects throughout.

?? Complete Guide????? Hernando Abella?? From Zero to Production
Technologies You'll MasterPythonOpenAILangChainHugging FaceTensorFlowPyTorch

Generative AI is transforming how we build applications. From intelligent chatbots that answer questions using your own documents to AI agents that can research, plan, and act the possibilities are endless.

This comprehensive guide will take you from the fundamentals of tokens and embeddings to building production-ready AI systems with RAG, agents, and multimodal capabilities. No PhD required just Python and curiosity.

What You'll Learn

?Master prompt engineering for real-world applications
?Build RAG pipelines with vector databases (Chroma, FAISS, Pinecone)
?Create AI agents with tool calling and memory systems
?Develop production-ready AI applications
?Understand embeddings, attention, and transformer architecture
?Deploy and scale AI systems in production
Generative AI with Python book cover

Generative AI with Python

By Hernando Abella

Master RAG pipelines, AI agents, tool calling, vector databases, and multimodal systems with hands-on code throughout. Perfect for developers who want to build production-ready AI applications.

?? 250+ pages?? 50+ code examples?? 5 complete projects
Get it on Amazon ?

Series: Building Generative AI Applications

This series of articles will guide you through building real AI applications from scratch. Each article includes complete code examples and practical explanations.

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Tokens, Embeddings & Attention

The fundamental building blocks that power every modern AI model.

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Building a RAG System

Combine retrieval with generation for grounded, accurate answers from your own data.

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AI Agents with Tools & Memory

Create intelligent agents that use tools, remember context, and reason through complex tasks.

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AI Coding Assistant

Build a developer tool that explains code, finds bugs, and generates tests.

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AI-Powered Knowledge Base

Transform company documents into an intelligent assistant using RAG.

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Claude vs Cursor vs ChatGPT

A month-long comparison of the three biggest AI coding assistants building a real app.

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Production AI Systems

Scale your AI applications with monitoring, evaluation, and best practices.

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Why This Series?

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Practical & Hands-On
Every article includes working code you can run and adapt.
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Progressive Learning
Start with fundamentals, end with production systems.
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Real-World Projects
Build assistants, knowledge bases, and AI agents.
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Modern Stack
OpenAI, LangChain, Chroma, FAISS, and more.

Prerequisites

  • ? Basic Python knowledge (functions, classes, libraries)
  • ? An OpenAI API key (free tier available)
  • ? Willingness to experiment and build

Ready to master Generative AI? Start with the first article in the series Tokens, Embeddings, and Attention and build your way to production-ready AI systems.

?? Start Building Today

Get the Complete Guide

Master RAG pipelines, AI agents, tool calling, vector databases, and multimodal systems.

Get it on Amazon ?