HomeAi engineering books
Ai engineering books
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Explore our curated selection of AI engineering books, designed for professionals and enthusiasts alike. These comprehensive resources cover essential topics such as machine learning, neural networks, and data analysis, providing in-depth insights and practical applications. Whether you're a seasoned engineer or just starting your journey in artificial intelligence, our books will enhance your knowledge and skills, empowering you to tackle complex challenges in the ever-evolving tech landscape. Elevate your expertise with our top-rated titles today!
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Data Engineering for AI: Enhance data persistence strategies for optimal AI and analytical workload performance
₦ 59,980
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AI Engineering: Building Applications with Foundation Models
₦ 48,000
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Modern Data Architecture in AI: Optimize AI data storage, versioning, and partitioning with lakehouse
₦ 59,980
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Hello AI Transformation: Leading people, projects, and transformation in the age of AI
₦ 59,980
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Practical Generative AI on AWS: Building generative AI applications with Ama-zon Bedrock, Ama-zon Sage Maker JumpStart, and Ama-zon Q
₦ 59,980
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Generative AI for Everyone: Deep learning, NLP, and LLMs for creative and practical applications
₦ 59,980
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Building Secure AI Applications: A technical guide to secure GenAI/LLM-integrated applications
₦ 59,980
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Flutter Solutions for Web Development: Modern web development with Flutter, Dart, and AI integration
₦ 59,980
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Soft Skills: Personality Development in the AI age and beyond
₦ 49,980
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Excel Crash Course: PivotTables, Power Query, charts, essential functions with Python and Copilot for modern AI analysis
₦ 64,980
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AI Engineering
5 (2)
₦ 48,000
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Practical Approach to Agentic AI: From theory to real-world applications in agentic AI
₦ 64,980
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Generative AI Ethics, Privacy, and Security: A guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches
₦ 59,980
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The Complete AI Engineering Combo
₦ 80,000
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Ai engineering, building applications with foundation models
₦ 49,500
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Hands-on AI Networking: Understand architecture, automation, case studies, and explore future trends
₦ 59,980
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Modern Communication with Social Media: From basic communication to advanced social media dynamics and AI applications
₦ 54,980
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Managing teams in the Age of AI: A step-by-step guide for managing technical personas, process transformation, and fostering innovation
₦ 49,980
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An Introduction to Artificial Intelligence and Machine Learning
₦ 54,980
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Artificial Intelligence
₦ 59,980
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Artificial Intelligence Programming with Python: From Zero to Hero
₦ 42,600
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Artificial Intelligence All-in-One For Dummies
₦ 45,300
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AI and Machine Learning for Coders : A programmer's guide to artificial intelligence
₦ 45,000
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Artificial Intelligence In Defence
₦ 49,980
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Artificial Intelligence
4 (1)
₦ 19,890
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Thinking With Machines: The Brave New World of AI 1st Edition- By Vasant Dhar
₦ 7,900
₦ 7,990
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THINKING WITH MACHINES: THE BRAVE NEW WORLD OF AI
₦ 6,000
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Thinking With Machines by Vasant Dhar
₦ 6,550
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THINKING WITH MACHINES: THE BRAVE NEW WORLD OF AI
₦ 6,200
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Thinking With Machines: The Brave New World of AI 1st Edition- By Vasant Dhar
₦ 8,200
₦ 8,300
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Artificial intelligence , Machine learning and Deep Learning
₦ 45,000
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A Classical Approach To Artificial Intelligence
₦ 55,500
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THINKING WITH MACHINES: THE BRAVE NEW WORLD OF AI
₦ 6,000
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
₦ 46,000
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Artificial intelligence : Principles and practice
₦ 45,000
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The Modern Developer’s Power Pack: Code, Data & AI
₦ 120,000
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Generative AI Design Patterns
₦ 48,000
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Artificial Intelligence For Dummies
₦ 45,600
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Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
₦ 45,000
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Deep Learning
₦ 44,980
Frequently Asked Questions About ai engineering books
How should I choose the right ai engineering books from this Jumia Books listing?
Start by identifying your learning goal and matching it with AI engineering books from Jumia Books in technology-engineering or science categories, including series like Ai engineering and AI Engineering. Decide whether you want foundational theory, hands-on programming, or applied foundation-model work, and choose a title that targets that path. For example, consider titles such as 'Ai engineering, building applications with foundation models' and 'AI Engineering: Building Applications with Foundation Models' to gauge the depth and approach. Look for clear explanations, practical projects, and real-world examples that line up with the jumia-books lineup. Prioritize reputable series and authors to ensure consistent coverage of fundamentals and advanced topics.
What is the most complex attribute of ai engineering books to understand, and how should I study it?
Foundation models and their deployment are the most complex attribute to master. These books explain how foundation models differ from traditional ML, how to fine-tune or prompt them, and how to scale inference in real applications. You’ll also encounter design considerations, safety and bias, evaluation metrics, and integration with existing systems. When studying, pick a title that provides architecture explanations, hands-on examples, and guidance on selecting libraries and APIs relevant to industry practice.
What ai engineering books are best for Beginners vs Pros who want to work with these models?
Beginner readers should start with broad, approachable introductions to AI concepts and core programming, such as introductory titles within the jumia-books catalog that cover fundamentals. For more experienced readers or engineers, choose applied books that show building applications with foundation models and real code, like AI engineering books and AI programming with Python. These specialist titles help you translate theory into practical projects, from data handling to model deployment. Use a progression that moves from theory to hands-on projects to sharpen your skills.
How can I maintain progress and ensure compatibility with current tools while studying ai engineering books?
Plan your learning around a practical project and align it with the prerequisites described in each book, such as basic Python and machine learning concepts. Opt for editions and series that reflect current tools and frameworks, and supplement reading with hands-on coding exercises. Set up a local development environment and work on small projects that mirror the book’s examples, then progressively tackle more complex applications in areas like foundation models. This approach keeps your knowledge up to date and actionable.
Which ai engineering books in this listing align best with industry standards and common tools?
Look for titles that cover Python programming, neural networks, and deployment workflows used in industry, along with discussions of ethics and governance. The jumia-books offerings in technology-engineering and science categories include both theoretical overviews and practical guides that reflect current practice. Prioritize series that provide real-world case studies, hands-on projects, and clear guidance on tools and libraries used by professionals. A well-rounded choice combines foundational learning with applicable, project-based content.