Generative AI and Deep Learning Specialization 2026 : : Comprehensive Guide with Neural Networks, Transformers, LLMs, Diffusion Models, and Real-World Projects
Language: English
Published by Independently Published Jul 2026, 2026
Series: Book 7 of 46 - Tech Cert Academy Certification Prep Series
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 42.00
Quantity: 2 available
Add to basketItem description from seller
Neuware - 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. …
Seller Inventory # 9798189676239
- Title
- Generative AI and Deep Learning Specialization 2026 : : Comprehensive Guide with Neural Networks, Transformers, LLMs, Diffusion Models, and Real-World Projects
- Author
- Tech Cert Academy
- Publisher
- Independently Published Jul 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798189676239
- Item weight
- 144 grams
- Dimensions
- 229x152x5 mm
- Series
- Book 7 of 46: 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.
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