| Management number | 238786678 | Release Date | 2026/07/11 | List Price | $9.13 | Model Number | 238786678 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
<p>If <b>AI agents, LangGraph, and multi-agent systems</b> feel overwhelming, you are not alone.</p><p>Many beginners want to build modern AI applications but quickly get lost in complicated tutorials, advanced jargon, fragmented documentation, and unexplained code. This book was written to change that.</p><p>Whether you are completely new to AI development or a Python learner curious about the future of intelligent software, this <b>beginner-friendly guide</b> will help you confidently build real AI agents step by step without feeling intimidated or left behind.</p><p>Inside this practical hands-on guide, you will learn how to create powerful AI workflows using <b>Python, LangGraph, AutoGen, APIs, memory systems, and modern agent orchestration techniques</b> in a way that is clear, approachable, and easy to follow.</p><p>Instead of drowning you in theory, this book focuses on helping you understand <b>how AI agents actually work in real-world development</b>.</p><p><b>You will learn how to: </b></p><p>- Build AI agents with Python from scratch<br>- Create LangGraph workflows and agent pipelines<br>- Design multi-agent AI systems using AutoGen<br>- Implement memory, tools, and tool-calling workflows<br>- Connect AI agents to APIs and external services<br>- Debug, test, and improve AI applications confidently<br>- Develop practical AI automation projects step by step<br>- Understand modern agentic AI concepts without confusion</p><p>Every chapter is written with beginners in mind using a <b>supportive, confidence-building teaching style</b> that explains not only what to do, but why it matters and how it works in practice.</p><p>You will not find large unexplained code dumps or overly academic explanations. Instead, you will learn through <b>small, manageable examples, guided walkthroughs, troubleshooting help, and practical projects</b> that make learning feel achievable.</p><p>This book also helps you overcome one of the biggest beginner challenges: <b>fear of making mistakes</b>.</p><p>You will quickly discover that <b>errors, debugging, and experimentation are normal parts of the development process</b>, and each small success builds real confidence and momentum.</p><p>By the end of this book, you will have the practical skills and understanding needed to start building your own <b>AI workflows, intelligent assistants, and multi-agent systems</b> using modern AI development tools.</p><p>If you are ready to stop feeling overwhelmed and finally start building real AI applications with confidence, this book is your <b>step-by-step companion for entering the exciting world of AI agent development</b>.</p><p><b>Start your AI coding journey today</b> and begin creating intelligent systems that can solve real problems, automate workflows, and power the next generation of software.</p>
| Book format | Paperback |
|---|---|
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2026 |
| Pages | 376 |
| Subgenre | Data Science |
| Series title | No Series |
| Number in series | 0 |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.78 x 10.00 in |
| Assembled product weight | 1.43 lb |
| Bisac subject heading | Computers |
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