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Claude Code in Action. From zero to deployed apps with AI-assisted development Taeho Jo

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Claude Code in Action. From zero to deployed apps with AI-assisted development Taeho Jo - okladka książki

Claude Code in Action. From zero to deployed apps with AI-assisted development Taeho Jo - okladka książki

Claude Code in Action. From zero to deployed apps with AI-assisted development Taeho Jo - audiobook MP3

Claude Code in Action. From zero to deployed apps with AI-assisted development Taeho Jo - audiobook CD

Autor:
Taeho Jo
Ocena:
Stron:
200
You no longer need traditional programming experience to create real applications. This book introduces you to building software using Claude Code, where you will collaborate with AI to design, develop, and deploy applications from scratch.
Starting with the basics, you’ll learn how to work effectively with AI assistants, structure prompts, and translate ideas into working software. As you progress, you’ll build a range of real-world projects from personal websites and portfolio apps to interactive tools and AI-powered applications. Each project is designed to reinforce practical skills while exposing you to modern development workflows.
The book emphasizes a structured, step-by-step learning approach, guiding you through planning, iteration, debugging, and deployment. You’ll also explore advanced capabilities such as API integration, automation workflows, and AI agent-based development. Later chapters introduce MCP, plugins, and skills to extend Claude Code into a powerful development environment.
By the end of this book, you won’t just understand AI-assisted development, you’ll confidently build, customize, and deploy your own applications.

O autorze książki

Taeho Jo is a Professor in the Department of Radiology and Imaging Sciences at the Indiana University School of Medicine, where he leads research on the early diagnosis of Alzheimer's disease by applying AI and deep learning to the medical field. His work focuses on identifying the causes of disease through the integrated analysis of genomics, multi-omics data, and medical imaging using AI.
He earned his Ph.D. in protein structure prediction from Tokyo Medical and Dental University before moving to the United States, where he was among the early researchers to introduce deep learning into this field. Since 2018, he has been conducting research at Indiana University on deep learning–based early diagnosis of Alzheimer's disease, tracking causative proteins, and predicting genetic mutations.

Packt Publishing - inne książki

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