Generative AI and Deep Learning Specialization 2026 (Paperback)
Language: English
Published by Independently Published, 2026
Series: Book 7 of 38 - Tech Cert Academy Certification Prep Series
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 21.49
Quantity: 1 available
Add to basketItem description from seller
Paperback. Master Generative AI and Deep Learning - From Neural Network Fundamentals to Real-World AI ApplicationsGenerative AI is transforming every industry - and this comprehensive specialization guide gives you the technical foundation, practical skills, and real-world project experience needed to work professionally with AI systems in 2026. Whether you're a developer, data scientist, or career-changer looking to enter the AI field, this book takes you from neural network fundamentals through building, training, and deploying cutting-edge generative models - with five hands-on projects along the way.What You'll Learn: - How neural networks and deep learning actually work - inside the architecture- The transformer revolution: self-attention, multi-head attention, and scaling laws - Large Language Models: training pipelines, instruction tuning, RLHF, and evaluation - Image generation: GANs, VAEs, diffusion models, and Stable Diffusion - Multi-modal AI: text-to-image, text-to-video, audio generation, and vision-language models - Training and scaling strategies: distributed computing, cost optimization, parallelism - Evaluation and safety: benchmarks, bias detection, watermarking, responsible deployment - Production deployment: API serving, quantization, monitoring, and security - Five complete hands-on projects with code, architecture, and deployment guidesWho This Book Is For: - Developers transitioning into AI/ML roles - Data scientists expanding into generative AI - Students preparing for AI certification exams - Engineers building AI-powered products - Anyone who wants to deeply understand how generative AI works under the hood This isn't a surface-level overview. You'll understand attention mechanisms, training dynamics, scaling laws, and production deployment - the knowledge that separates AI practitioners from AI prompters.Includes: - 100 practice exam questions with detailed explanations- Five hands-on projects with complete implementation guides- Comparison tables for major LLMs, frameworks, and datasets- Troubleshooting guides for training and deployment issues Updated for 2026 with coverage of GPT-5, Claude, Gemini 2.0, open-source models, and the latest diffusion architectures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
Seller Inventory # 9798189676239
- Title
- Generative AI and Deep Learning Specialization 2026 (Paperback)
- Author
- Tech Cert Academy
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798189676239
- Series
- Book 7 of 38: Tech Cert Academy Certification Prep Series
Generative AI is transforming every industry — and this comprehensive specialization guide gives you the technical foundation, practical skills, and real-world project experience needed to work professionally with AI systems in 2026. Whether you're a developer, data scientist, or career-changer looking to enter the AI field, this book takes you from neural network fundamentals through building, training, and deploying cutting-edge generative models — with five hands-on projects along the way.
What You'll Learn:
• How neural networks and deep learning actually work — inside the architecture
• The transformer revolution: self-attention, multi-head attention, and scaling laws • Large Language Models: training pipelines, instruction tuning, RLHF, and evaluation • Image generation: GANs, VAEs, diffusion models, and Stable Diffusion • Multi-modal AI: text-to-image, text-to-video, audio generation, and vision-language models • Training and scaling strategies: distributed computing, cost optimization, parallelism • Evaluation and safety: benchmarks, bias detection, watermarking, responsible deployment • Production deployment: API serving, quantization, monitoring, and security • Five complete hands-on projects with code, architecture, and deployment guides
Who This Book Is For:
• Developers transitioning into AI/ML roles • Data scientists expanding into generative AI • Students preparing for AI certification exams • Engineers building AI-powered products • Anyone who wants to deeply understand how generative AI works under the hood This isn't a surface-level overview. You'll understand attention mechanisms, training dynamics, scaling laws, and production deployment — the knowledge that separates AI practitioners from AI prompters.
Includes:
• 100 practice exam questions with detailed explanations
• Five hands-on projects with complete implementation guides
• Comparison tables for major LLMs, frameworks, and datasets
• Troubleshooting guides for training and deployment issues Updated for 2026 with coverage of GPT-5, Claude, Gemini 2.0, open-source models, and the latest diffusion architectures.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
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| First item | £ 37.00 | £ 37.00 |
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