LLM Engineering Masterclass: Transformer Architectures, Retrieval-Augmented Generation and Production AI Infrastructure

AI Engineering and Agentic AI: Designing Autonomous Language Model Systems with Memory, Tools, and Safe Deployment

Developing AI Applications with Large Language Models

Architecting AI Agent Systems: Foundations, Memory, Patterns, Protocols, and Frameworks (From LLMs to Agent Ecosystems)

Data Mastery in AI

Engineering AI Agents for Production: Infrastructure, Observability, Security, and Production Case Studies: 2 (From LLMs to Agent Ecosystems)

The RAG Systems Blueprint: Architecting Scalable Retrieval-Driven AI Applications

AI Engineering and AI Agentic Systems: Designing Intelligent Workflows, Prompting, Autonomous Agents, and Scalable Real-World AI Solutions

Python for Data Engineering Build Scalable Data Pipelines, Analytics, and Automation (Data Engineering Domain For professional)

Rearchitecting LLMs: Structural techniques for efficient models

Manning

Modern Database Foundations: From Relational Design to NoSQL, Cloud, and AI Systems (Web Development in the Era of Generative AI)

Polyglot Backend Systems Engineering with Go, Rust, TypeScript & Python: Building Event-Driven, Fault-Tolerant Infrastructure (Including AI Pipelines)

LLAMA & OLLAMA AI USER GUIDE: The Complete Handbook to Master Local LLMs, Offline AI Assistants, and Open-Source Language Models on Any Device

LLAMA & OLLAMA AI USER GUIDE: The Complete Handbook to Master Local LLMs, Offline AI Assistants, and Open-Source Language Models on Any Device

Agentic AI Security: Designing, Defending, & Governing Autonomous Systems

Examining Vulnerabilities and Adversarial Exploitation of AI and LLMs

The AI Consulting Playbook: Sell and Deliver AI Transformation

AI LEADERSHIP IN TRENCHES OF ADOPTION: Beyond the AI Hype (Enterprise AI Leadership Trilogy)

Deep Learning Architecture and Applications

AI Ethics and Governance: A Practical Guide

Discrete Latent Structure in Neural Networks (Foundations and Trends® in Engineering)

AI Engineer's Handbook: 200 Questions and Answers for Modern AI Engineering

AI Engineer's Handbook: 200 Questions and Answers for Modern AI Engineering

Distributed Backend Systems Engineering: Solving Scalable API Architecture Using Node.js, Python, Java, and Go

Machine Learning Lifecycle and its Validation