at and t cellular

Go from understanding the foundations of LLMs to mastering step-by-step reasoning! Start by building your own GPT-style LLM from the ground up, then enhance it with reasoning capabilities that break complex problems into reliable, multi-step solutions. Together, these books guide you through the full LLM journey—coding, training, fine-tuning, and reasoning—so you can truly understand and control the AI you create.

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Build a Large Language Model (From Scratch)

Build A Reasoning Model (From Scratch)

Master modern deep learning with Python using today’s most important tools and techniques. Learn the fundamentals of neural networks and scale up to generative AI, transformers, large language models, and diffusion models using Keras, TensorFlow, PyTorch, and JAX. Guided by framework creators and core contributors, you’ll build real models for vision, text, and time series, understand how and why they work, and gain the confidence to train, tune, and deploy deep learning systems for real-world applications.

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Deep Learning with Python, Third Edition

Deep Learning with PyTorch, Second Edition

This pair helps you combine technical skill with artistry, turning everyday coding into a practice of continuous improvement and mastery. Elevate your coding craft and sharpen your engineering instincts. Learn to write elegant, maintainable, and high-performance code while discovering 66 essential software engineering concepts that improve readability, testing, system design, and more.

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The Art of Code

The Coder Cafe

These guides show how to evolve legacy software into domain-aligned, loosely coupled architectures and how to design microservices using proven patterns and pragmatic tradeoffs. You’ll learn how to connect business strategy to system design, decompose monoliths safely, structure services and teams for fast flow, and deliver resilient, scalable platforms.

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Architecture Modernization

Microservices Patterns, Second Edition

Go low-level with confidence, as you learn to write fast, reliable, and maintainable systems code in Zig, then explore Rust to harness safety, concurrency, and high-performance computing. Go from building lightweight utilities and interpreters to tackling advanced networking, graphics, and parallel systems—arming you with the full toolkit for modern systems programming.

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Systems Programming with Zig

Rust in Action

Take LLMs from single-agent tools to fully autonomous, collaborative systems! Start by learning how to design and deploy production-grade AI agents, then go deeper by building your own multi-agent infrastructure from scratch. These books give you the skills to create trustworthy, high-performing AI agents that coordinate, delegate, and tackle complex real-world tasks.

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AI Agents in Action, Second Edition

Build A Multi-Agent System (From Scratch)

Get to the heart of JavaScript as you build blazing-fast, maintainable web apps with plain vanilla JS, then dive into the inner workings of the language to understand how engines, runtimes, and APIs really tick. This pair equips you with both practical coding chops and deep technical insight—so you can write smarter, faster, and more reliable JavaScript for any project.

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Vanilla Web

JavaScript in Depth

Discover practical, real-world strategies for delivering better software, cultivating strong teams, and growing into an inspiring, high-impact engineering leader. You’ll learn how to run effective, compassionate code reviews that improve applications and strengthen team dynamics, including setting guidelines, automating quality checks, and leveraging AI.

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"Looks Good to Me"

Think Like a Software Engineering Manager