The Developer''s Guide to AI
Book Details
Format
Paperback / Softback
ISBN-10
1718504764
ISBN-13
9781718504769
Publisher
No Starch Press,US
Imprint
No Starch Press,US
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 9th, 2026
Print length
336 Pages
Weight
604 grams
Dimensions
23.30 x 17.80 x 2.00 cms
Product Classification:
Artificial intelligenceArtificial intelligence (AI)
Ksh 9,350.00
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Build intelligent applications—no data science degree required.
Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place.
The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases.
By the end of this book, you’ll know how to:
LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.
Grab your code editor, bring your engineering instincts, and let’s build what’s next!
Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place.
The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases.
By the end of this book, you’ll know how to:
- Call LLM APIs and stream intelligent responses directly to your UI.
- Engineer prompts that produce reliable, production-ready results.
- Build RAG pipelines using vector databases to give AI access to your private data.
- Fine-tune models with LoRA for specialized tasks like classification.
- Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.
LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.
Grab your code editor, bring your engineering instincts, and let’s build what’s next!
Get The Developer''s Guide to AI by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by No Starch Press,US and it has pages.
