{"product_id":"b0ghlcxl7q","title":"Generative AI and Deep Learning Specialization 2026:: Comprehensive Guide with Neural Networks, Transformers, LLMs, Diffusion Models, and Real-World ... ... Cert Academy Certification Prep Series)","description":"\u003cp\u003eMaster Generative AI and Deep Learning — From Neural Network Fundamentals to Real-World AI Applications\u003cbr\u003e\nGenerative 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.\u003cbr\u003e\nWhat You'll Learn:\u003cbr\u003e\n• How neural networks and deep learning actually work — inside the architecture\u003cbr\u003e\n• 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\u003cbr\u003e\nWho This Book Is For:\u003cbr\u003e\n• 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.\u003cbr\u003e\nIncludes:\u003cbr\u003e\n• 100 practice exam questions with detailed explanations\u003cbr\u003e\n• Five hands-on projects with complete implementation guides\u003cbr\u003e\n• Comparison tables for major LLMs, frameworks, and datasets\u003cbr\u003e\n• 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.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52797563568344,"sku":"YSL27871","price":5.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/811qztb2i6L._SY1500.jpg?v=1792839031","url":"https:\/\/www.bookmebay.com\/products\/b0ghlcxl7q","provider":"BookMebay","version":"1.0","type":"link"}