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Item #:
207015601
Spring AI in Action
89% of respondents would recommend this to a friend
Item #:
207015601
AED 303
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What Stands Out
Practical AI Guide
Offers hands-on examples and real-world applications of AI concepts, ensuring readers can easily grasp and implement techniques within their own projects for immediate impact.
Comprehensive Coverage
Covers a wide range of Spring Framework integrations with AI technologies, addressing both foundational topics and advanced uses, catering to developers at multiple skill levels.
Expert Insights
Includes contributions from experienced professionals in the field, providing valuable perspectives and best practices, thereby equipping readers with practical knowledge to elevate their AI skills.
Product Details
| Publisher | Manning Publications |
| Publication date | 2 Dec. 2025 |
| Edition | 1st |
| Language | English |
| Print length | 320 pages |
| ISBN-10 | 163343611X |
| ISBN-13 | 978-1633436114 |
| Dimensions | 18.75 x 2.03 x 23.5 cm |
| Part of series | In Action |
Who Should Buy?
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Developers
Ideal for developers leveraging Spring framework seeking to integrate AI capabilities into their applications seamlessly.
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Tech Enthusiasts
Great for tech enthusiasts wishing to understand AI concepts and how they apply within the Spring ecosystem.
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Data Scientists
Beneficial for data scientists who want to utilize Spring for deploying machine learning models efficiently.
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Beginners
Not suitable for absolute beginners lacking basic programming skills or familiarity with Spring and AI concepts.
Product Description
Spring AI in Action
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English edition Craig Walls Format: Paperback Java Editorial Review
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Pros
- Clear and engaging writing
- Practical examples and applications
- Comprehensive coverage of topics
- Suitable for all skill levels
- Strong community support
Cons
- Some advanced topics might feel brief.
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AED 303
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Features & Benefits
- Learn to integrate generative AI in Java applications with Spring AI.
- Create features like virtual assistants and text summaries effortlessly.
- Utilize familiar tools and frameworks without switching to Python.
- Explore advanced techniques like retrieval-augmented generation (RAG).
- Tailored for developers with no prior generative AI experience.
- Practical, example-driven learning approach from setup to advanced usage.
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