Modern AI Developer Essentials
Modern AI Developer Essentials
About the Bundle
About This Bundle
Modern AI development has shifted toward agent-based systems, practical LLM integration, and automated data workflows. This bundle gives you a direct path into that world. It brings together four books that cover the core skills every new AI developer needs. You learn how to design agent architectures, write agentic code, use ChatGPT effectively, and build AI-powered web scraping pipelines.
You start with the foundations of multi-agent system design, then move into hands-on patterns for building agents that reason, plan, and interact with tools. You learn how to work with GPT models in a structured way so you can design prompts, create workflows, and understand the strengths and limits of LLMs. The final part of the bundle focuses on automation and data extraction. It shows you how to combine AI models with scraping and workflow automation to collect and process real data.
The content is practical and implementation-focused. Each book avoids a theory that does not help you build something. You get patterns, techniques, and real examples that help you become productive in modern AI development. Whether you are transitioning into AI from software engineering or starting from scratch, this bundle gives you a well-rounded foundation that prepares you for real projects.
About the Books
ChatGPT for beginners
A Quick Introduction to Prompt Engineering!
ChatGPT for Beginners: A Quick Introduction to Prompt Engineering is a practical guide designed for anyone looking to unlock the full potential of ChatGPT and other advanced AI language models. This book provides a step-by-step introduction to prompt engineering, helping beginners craft precise, effective prompts that generate high-quality, context-aware responses.
From understanding the evolution of GPT models and the underlying Transformer architecture to mastering hands-on techniques for optimizing token usage, this book covers everything you need to start using AI effectively. You'll learn how to design prompts for real-world applications such as note-taking, content creation, coding assistance, and daily productivity tasks. Practical examples, actionable tips, and detailed walkthroughs make it easy to apply these strategies immediately.
The book also emphasizes the responsible and ethical use of AI, highlighting common pitfalls such as bias, repetitive phrasing, and over-reliance on AI outputs. Additionally, it explores the latest AI tools and integrations, including IDE plugins, productivity applications, and multimodal models for audio and video, giving readers insight into the broader AI ecosystem beyond ChatGPT.
Whether you are a student, professional, or hobbyist, *ChatGPT for Beginners* equips you with the knowledge and skills to harness AI safely, efficiently, and creatively, empowering you to become a confident user and prompt engineer in today’s AI-driven world.
Keywords/SEO tags:
ChatGPT for dummies, ChatGPT for beginners, GPT-5, Prompt Engineering, AI Language Models, AI tools, ChatGPT applications, ethical AI, AI productivity, ChatGPT tutorials, multimodal AI, Gemini, Sora, NotebookLM, Claude, Pair programming
Agent Blueprint: Designing and Deploying Robust Multi-Agent S...
Design, Deploy, and Scale Intelligent Multi-Agent Networks for Real-World Applications
Agent Blueprint: Multi-Agent System Architecture Fundamentals is the next frontier of AI: distributed, collaborative intelligence. Unlike traditional single-agent models, multi-agent systems (MAS) leverage networks of autonomous agents that communicate, coordinate, and adapt to solve complex problems at scale. This book provides a deep technical dive into MAS architectures, protocols, and production-grade best practices.
You will learn how to:
- Design hierarchical, flat, and hybrid agent architectures for diverse applications.
- Implement robust communication protocols like ACP, MCP, and FIPA ACL.
- Apply task allocation frameworks, including TDAG and Contract Net Protocol, for dynamic orchestration.
- Build real-world applications such as automated SDLC pipelines, enterprise workflow systems, and real-time infrastructure monitoring.
- Scale multi-agent systems safely and efficiently while maintaining explainability, trust, and reliability.
Packed with examples and production-ready strategies, this book is ideal for software engineers, AI architects, and researchers seeking to implement intelligent multi-agent systems in real-world environments.
The Modern Guide to AI-Powered Web Scraping and Automation
Hands-On Strategies for Stealth, Structured, and AI-Driven Web Scraping
Unlock the full potential of web scraping with modern, AI-driven techniques and automation. The "Modern Web Scraping using AI and automation" is a practical guide that teaches you how to build robust, scalable, and intelligent scraping workflows using Python, Playwright, undetected-chromedriver, and the Chrome DevTools MCP. Learn how to extract structured data from complex, JavaScript-heavy websites, handle anti-bot defenses, and integrate Large Language Models (LLMs) for automated content understanding, summarization, and semantic reasoning.
Packed with hands-on examples, this book covers proxy strategies, CAPTCHA handling, network-level scraping, and serverless deployment, providing you with the tools to transform raw web content into actionable insights. Whether you’re a software engineer, data scientist, or AI enthusiast, this guide shows how to build ethical, compliant, and future-proof scraping pipelines that power analytics, machine learning, and AI applications.
Keywords: web scraping, AI-powered scraping, Playwright, browser automation, undetected-chromedriver, Chrome DevTools MCP, LLM scraping, Python scraping, data extraction, automation pipelines, ethical web scraping
Agentic Coding for beginners
The Future of Software Development with AI Agents, Copilot, and Context-Aware Coding
About This Book
Agentic Coding for Beginners: A Practical Guide to Building AI-Assisted Workflows with ChatGPT, Copilot, and Multi-Agent Systems is designed for software engineers, technical learners, and curious builders exploring the next phase of intelligent software development. The book introduces agentic coding, a structured approach in which AI agents plan, act, evaluate, and improve through continuous feedback.
Who This Book Is For
This book is written for developers ready to move beyond passive AI assistance into active collaboration with intelligent systems. Whether you use VS Code, GitHub Copilot, Cursor, or ChatGPT, this guide will help you understand how to design autonomous workflows that enhance productivity and reliability.
You don’t need a deep AI background to start. Basic programming knowledge and curiosity about automation are enough. Each section is written to be practical, clear, and directly applicable to real development workflows.
What You’ll Learn
You’ll explore the foundations and practice of agentic coding through examples, walkthroughs, and conceptual discussions:
* How agents plan, execute, and self-evaluate tasks
* Setting up your development environment for agentic workflows
* Designing single- and multi-agent systems using frameworks like CrewAI and AutoGen
* Managing memory, context, and iterative feedback loops
* Ensuring safety, alignment, and human oversight in autonomous systems
* Applying constructionist learning to enhance agent performance
Each concept builds toward mastery, preparing you to build and refine your own intelligent coding agents.
Why It Belongs on Leanpub
Leanpub’s iterative publishing model aligns perfectly with the spirit of agentic development. Just as agents learn by doing, this book grows with the ecosystem, evolving as tools, frameworks, and best practices advance. Readers gain lifetime access to updates, new examples, and refined workflows as the field progresses.
How to Read This Book
Start at the beginning if you’re new to agentic systems, or jump into practical chapters if you prefer learning by experimentation. The book is structured so that theory, design, and implementation reinforce each other. Real projects and walkthroughs anchor the concepts, ensuring you can apply them directly in your workflow.
This is not just a technical manual. It’s a guide to building confidence, understanding, and creativity with intelligent tools, an essential step toward mastering the future of software development.
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