Publisher's Synopsis
Are you ready to build AI agents that can learn, adapt, and make intelligent decisions? AI Agent Architect is your comprehensive, hands-on guide to designing, training, and deploying advanced AI systems from the ground up.
This 12-chapter blueprint walks you through:
Core AI Architectures - From Deep Q-Networks (DQNs) to Transformers and Hybrid AI models
Training & Fine-Tuning - Supervised learning, reinforcement learning, and transfer learning techniques
Deployment & Scalability - Cloud integration, APIs, Kubernetes, and Edge AI
AI Ethics & Bias Mitigation - Explainable AI (XAI), fairness audits, and privacy protection
Real-World Case Studies - AI in healthcare, finance, gaming, and beyond
With clear explanations, hands-on examples, and expert insights, this book is perfect for AI enthusiasts, developers, and researchers looking to build intelligent agents from scratch. Whether you're a beginner or an experienced AI practitioner, this guide will equip you with the knowledge and tools to create powerful AI systems that drive innovation.
Start building the future of AI today!
