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LLM Engineer's Handbook
LLM Engineer's Handbook
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
By Paul Iusztin
October 2024 | 522 pages
Icon Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning
Icon Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production
Icon Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications
Understanding the LLM Twin Concept and Architecture Chevron down icon Chevron up icon
Tooling and Installation Chevron down icon Chevron up icon
Data Engineering Chevron down icon Chevron up icon
RAG Feature Pipeline Chevron down icon Chevron up icon
Supervised Fine-Tuning Chevron down icon Chevron up icon
Fine-Tuning with Preference Alignment Chevron down icon Chevron up icon
Evaluating LLMs Chevron down icon Chevron up icon
Inference Optimization Chevron down icon Chevron up icon
RAG Inference Pipeline Chevron down icon Chevron up icon
Inference Pipeline Deployment Chevron down icon Chevron up icon
MLOps and LLMOps Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Generative AI with Python and PyTorch
Generative AI with Python and PyTorch
By Joseph Babcock
March 2025 | 450 pages
Icon Implement real-world applications of LLMs and generative AI
Icon Fine-tune models with PEFT and LoRA to speed up training
Icon Expand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and LlamaIndex
Icon Purchase of the print or Kindle book includes a free eBook in PDF format
Introduction to Generative AI: Drawing Data from Models Chevron down icon Chevron up icon
Building Blocks of Deep Neural Networks Chevron down icon Chevron up icon
The Rise of Methods for Text Generation Chevron down icon Chevron up icon
NLP 2.0: Using Transformers to Generate Text Chevron down icon Chevron up icon
LLM Foundations Chevron down icon Chevron up icon
Open-Source LLMs Chevron down icon Chevron up icon
Prompt Engineering Chevron down icon Chevron up icon
LLM Toolbox Chevron down icon Chevron up icon
LLM Optimization Techniques Chevron down icon Chevron up icon
Emerging Applications in Generative AI Chevron down icon Chevron up icon
Neural Networks Using VAEs Chevron down icon Chevron up icon
Image Generation with GANs Chevron down icon Chevron up icon
Style Transfer with GANs Chevron down icon Chevron up icon
Deepfakes with GANs Chevron down icon Chevron up icon
Diffusion Models and AI Art Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Building AI Agents - From Fundamentals to Advanced Applications
Building AI Agents - From Fundamentals to Advanced Applications
By Clarian North
March 2025 | 165 pages
Icon In-depth coverage of AI agents from basic concepts to advanced applications
Icon Hands-on experience with N8N for building and managing automation pipelines
Icon Focus on security, ethical considerations, and real-world use cases of AI agents
The AI Agent Personal Assistant Demonstration Chevron down icon Chevron up icon
What Are AI Agents For Beginners Chevron down icon Chevron up icon
What Is N8N And How To Use It Chevron down icon Chevron up icon
Setting Up An AI Agent and Credentials Chevron down icon Chevron up icon
How To Build A Text Classifier For AI Agents Chevron down icon Chevron up icon
Multi Level Pipelines For AI Agents Chevron down icon Chevron up icon
Building An AI Agent For Scheduling Your Meetings Chevron down icon Chevron up icon
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Build Anything With AI Agents - Apps - Games - Assistants
Build Anything With AI Agents - Apps - Games - Assistants
By Clarian North
March 2025 | 230 pages
Icon Cutting-edge AI technologies like OpenAI, DeepSeek, and Ollama are utilized throughout the course
Icon AI-driven applications and games are built using a practical, hands-on approach
Icon Deep dive into the training, quantization, and optimization of LLMs
What Actually is AI and LLMs - The Race Between OpenAI and DeepSeek Chevron down icon Chevron up icon
Asking LLMs Like DeepSeek To Solve Problems For You Chevron down icon Chevron up icon
Building Applications With Your Own Private AI Locally On Your Computer Chevron down icon Chevron up icon
Command A Team Of AI Agents To Build You Applications Chevron down icon Chevron up icon
Build Personal Assistant AI Agents Chevron down icon Chevron up icon
How To Have AI Agents Write Code For You In Your Text Editor Chevron down icon Chevron up icon
Build AI Agent Researchers To Browse The Internet Chevron down icon Chevron up icon
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C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals
C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
By Mark J. Price
November 2024 | 828 pages
Icon Explore the newest additions to C# 13, the .NET 9 class libraries, and Entity Framework Core 9
Icon Build professional websites and services with ASP.NET Core 9 and Blazor
Icon Enhance your skills with step-by-step code examples and best practices tips
Hello, C#! Welcome, .NET! Chevron down icon Chevron up icon
Speaking C# Chevron down icon Chevron up icon
Controlling Flow, Converting Types, and Handling Exceptions Chevron down icon Chevron up icon
Writing, Debugging, and Testing Functions Chevron down icon Chevron up icon
Building Your Own Types with Object-Oriented Programming Chevron down icon Chevron up icon
Implementing Interfaces and Inheriting Classes Chevron down icon Chevron up icon
Packaging and Distributing .NET Types Chevron down icon Chevron up icon
Working with Common .NET Types Chevron down icon Chevron up icon
Working with Files, Streams, and Serialization Chevron down icon Chevron up icon
Working with Data Using Entity Framework Core Chevron down icon Chevron up icon
Querying and Manipulating Data Using LINQ Chevron down icon Chevron up icon
Introducing Modern Web Development Using .NET Chevron down icon Chevron up icon
Building Websites Using ASP.NET Core Chevron down icon Chevron up icon
Building Interactive Web Components Using Blazor Chevron down icon Chevron up icon
Building and Consuming Web Services Chevron down icon Chevron up icon
Epilogue Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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No-Code AI Agents for Social Media - A Step-by-Step Guide
No-Code AI Agents for Social Media - A Step-by-Step Guide
By Clarian North
March 2025 | 146 pages
Icon No-code AI agents for social media automation across multiple platforms.
Icon In-depth Make.com integration for building dynamic workflows and scenarios.
Icon Practical applications for LinkedIn, X, and content generation with AI agents.
DeepSeek R1 AI: 25 Real World Projects in AI for Beginners
DeepSeek R1 AI: 25 Real World Projects in AI for Beginners
By Vivian Aranha
March 2025 | 398 pages
Icon 25 AI projects on text processing, chatbots, automation, coding, and business analytics.
Icon Hands-on DeepSeek AI implementation with a built-in Python crash course.
Icon Real-world AI for customer support, automation, and software development.
Introduction to Applied DeepSeek AI: 25 Practical Projects for AI Developers Chevron down icon Chevron up icon
AI Text Processing & NLP Chevron down icon Chevron up icon
Chatbots & Virtual Assistants Chevron down icon Chevron up icon
AI for Automation & Productivity Chevron down icon Chevron up icon
AI for Developers & Coding Chevron down icon Chevron up icon
AI for Business & Data Analysis Chevron down icon Chevron up icon
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The Chief AI Officer's Handbook
The Chief AI Officer's Handbook
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
By Jarrod Anderson
January 2025 | 336 pages
Icon Explore practical frameworks for effective AI team building and team management
Icon Implement and Optimize AI Agents and Agentic Systems through design and implementation of AI agents.
Icon Gain actionable advice for leveraging AI to drive innovation and strategic growth
Icon Purchase of the print or Kindle book includes a free PDF eBook
Part 1: The Role and Responsibilities of the Chief AI Officer Chevron down icon Chevron up icon
Chapter 1: Why Every Company Needs a Chief AI Officer Chevron down icon Chevron up icon
Chapter 2: Key Responsibilities of a Chief AI Officer Chevron down icon Chevron up icon
Chapter 3: Crafting a Winning AI Strategy Chevron down icon Chevron up icon
Chapter 4: Building High-Performing AI Teams Chevron down icon Chevron up icon
Part 2: Building and Implementing AI Systems Chevron down icon Chevron up icon
Chapter 5: Data – the Lifeblood of AI Chevron down icon Chevron up icon
Chapter 6: AI Project Management Chevron down icon Chevron up icon
Chapter 7: Understanding Deterministic, Probabilistic, and Generative AI Chevron down icon Chevron up icon
Chapter 8: AI Agents and Agentic Systems Chevron down icon Chevron up icon
Chapter 9: Designing AI Systems Chevron down icon Chevron up icon
Chapter 10: Training AI Models Chevron down icon Chevron up icon
Chapter 11: Deploying AI Solutions Chevron down icon Chevron up icon
Part 3: Governance, Ethics, Security, and Compliance Chevron down icon Chevron up icon
Chapter 12: AI Governance and Ethics Chevron down icon Chevron up icon
Chapter 13: Security in AI Systems Chevron down icon Chevron up icon
Chapter 14: Privacy in the Age of AI Chevron down icon Chevron up icon
Chapter 15: AI Compliance Chevron down icon Chevron up icon
Part 4: Empowering AI Leadership with Practical Tools and Insights Chevron down icon Chevron up icon
Chapter 16: Conclusion Chevron down icon Chevron up icon
Chapter 17: Appendix Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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Learn Python Programming
Learn Python Programming
Full star icon Full star icon Full star icon Full star icon Full star icon 5
By Romano
November 2024 | 616 pages
Icon Create and deploy APIs and CLI applications, leveraging Python’s strengths in scripting and automation
Icon Stay current with the latest features and improvements in Python, including pattern matching and the latest exception handling syntax
Icon Engage with new real-world examples and projects, including competitive programming problems, to solidify your understanding of Python
A Gentle Introduction to Python Chevron down icon Chevron up icon
Built-In Data Types Chevron down icon Chevron up icon
Conditionals and Iteration Chevron down icon Chevron up icon
Functions, the Building Blocks of Code Chevron down icon Chevron up icon
Comprehensions and Generators Chevron down icon Chevron up icon
OOP, Decorators, and Iterators Chevron down icon Chevron up icon
Exceptions and Context Managers Chevron down icon Chevron up icon
Files and Data Persistence Chevron down icon Chevron up icon
Cryptography and Tokens Chevron down icon Chevron up icon
Testing Chevron down icon Chevron up icon
Debugging and Profiling Chevron down icon Chevron up icon
Introduction to Type Hinting Chevron down icon Chevron up icon
Data Science in Brief Chevron down icon Chevron up icon
Introduction to API Development Chevron down icon Chevron up icon
CLI Applications Chevron down icon Chevron up icon
Packaging Python Applications Chevron down icon Chevron up icon
Programming Challenges Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Python Machine Learning By Example
Python Machine Learning By Example
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
By Yuxi (Hayden) Liu
July 2024 | 518 pages
Icon Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling
Icon Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions
Icon Implement ML models, such as neural networks and linear and logistic regression, from scratch
Icon Purchase of the print or Kindle book includes a free PDF copy
Getting Started with Machine Learning and Python Chevron down icon Chevron up icon
Building a Movie Recommendation Engine with Naïve Bayes Chevron down icon Chevron up icon
Predicting Online Ad Click-Through with Tree-Based Algorithms Chevron down icon Chevron up icon
Predicting Online Ad Click-Through with Logistic Regression Chevron down icon Chevron up icon
Predicting Stock Prices with Regression Algorithms Chevron down icon Chevron up icon
Predicting Stock Prices with Artificial Neural Networks Chevron down icon Chevron up icon
Mining the 20 Newsgroups Dataset with Text Analysis Techniques Chevron down icon Chevron up icon
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling Chevron down icon Chevron up icon
Recognizing Faces with Support Vector Machine Chevron down icon Chevron up icon
Machine Learning Best Practices Chevron down icon Chevron up icon
Categorizing Images of Clothing with Convolutional Neural Networks Chevron down icon Chevron up icon
Making Predictions with Sequences Using Recurrent Neural Networks Chevron down icon Chevron up icon
Advancing Language Understanding and Generation with the Transformer Models Chevron down icon Chevron up icon
Building an Image Search Engine Using CLIP: a Multimodal Approach Chevron down icon Chevron up icon
Making Decisions in Complex Environments with Reinforcement Learning Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
By Sebastian Raschka
February 2022 | 774 pages
Icon Learn applied machine learning with a solid foundation in theory
Icon Clear, intuitive explanations take you deep into the theory and practice of Python machine learning
Icon Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices
Giving Computers the Ability to Learn from Data Chevron down icon Chevron up icon
Training Simple Machine Learning Algorithms for Classification Chevron down icon Chevron up icon
A Tour of Machine Learning Classifiers Using Scikit-Learn Chevron down icon Chevron up icon
Building Good Training Datasets – Data Preprocessing Chevron down icon Chevron up icon
Compressing Data via Dimensionality Reduction Chevron down icon Chevron up icon
Learning Best Practices for Model Evaluation and Hyperparameter Tuning Chevron down icon Chevron up icon
Combining Different Models for Ensemble Learning Chevron down icon Chevron up icon
Applying Machine Learning to Sentiment Analysis Chevron down icon Chevron up icon
Predicting Continuous Target Variables with Regression Analysis Chevron down icon Chevron up icon
Working with Unlabeled Data – Clustering Analysis Chevron down icon Chevron up icon
Implementing a Multilayer Artificial Neural Network from Scratch Chevron down icon Chevron up icon
Parallelizing Neural Network Training with PyTorch Chevron down icon Chevron up icon
Going Deeper – The Mechanics of PyTorch Chevron down icon Chevron up icon
Classifying Images with Deep Convolutional Neural Networks Chevron down icon Chevron up icon
Modeling Sequential Data Using Recurrent Neural Networks Chevron down icon Chevron up icon
Transformers – Improving Natural Language Processing with Attention Mechanisms Chevron down icon Chevron up icon
Generative Adversarial Networks for Synthesizing New Data Chevron down icon Chevron up icon
Graph Neural Networks for Capturing Dependencies in Graph Structured Data Chevron down icon Chevron up icon
Reinforcement Learning for Decision Making in Complex Environments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Learning Angular
Learning Angular
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
By Aristeidis Bampakos
January 2025 | 486 pages
Icon Explore the basics of Angular 19 development, from components and templates to forms, routing, and services
Icon Get up to speed with the new paradigms modern Angular brings, including standalone APIs, new control flow syntax, Signals, and server-side rendering (SSR)
Icon Discover best practices for building, deploying, debugging, and testing Angular applications
Building Your First Angular Application Chevron down icon Chevron up icon
Introduction to TypeScript Chevron down icon Chevron up icon
Structuring User Interfaces with Components Chevron down icon Chevron up icon
Enriching Applications Using Pipes and Directives Chevron down icon Chevron up icon
Managing Complex Tasks with Services Chevron down icon Chevron up icon
Reactive Patterns in Angular Chevron down icon Chevron up icon
Tracking Application State with Signals Chevron down icon Chevron up icon
Communicating with Data Services over HTTP Chevron down icon Chevron up icon
Navigating through Applications with Routing Chevron down icon Chevron up icon
Collecting User Data with Forms Chevron down icon Chevron up icon
Handling Application Errors Chevron down icon Chevron up icon
Introduction to Angular Material Chevron down icon Chevron up icon
Unit Testing Angular Applications Chevron down icon Chevron up icon
Bringing Applications to Production Chevron down icon Chevron up icon
Optimizing Application Performance Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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React Key Concepts
React Key Concepts
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
By Maximilian Schwarzmüller
January 2025 | 544 pages
Icon Work through clear, concise explanations of core React 19 functionalities
Icon Complete practical exercises that challenge you to build your own simple apps
Icon Discover fullstack React with Next.js, React Server Components, Suspense, and more
React – What and Why Chevron down icon Chevron up icon
Understanding React Components and JSX Chevron down icon Chevron up icon
Components and Props Chevron down icon Chevron up icon
Working with Events and State Chevron down icon Chevron up icon
Rendering Lists and Conditional Content Chevron down icon Chevron up icon
Styling React Apps Chevron down icon Chevron up icon
Portals and Refs Chevron down icon Chevron up icon
Handling Side Effects Chevron down icon Chevron up icon
Handling User Input & Forms with Form Actions Chevron down icon Chevron up icon
Behind the Scenes of React and Optimization Opportunities Chevron down icon Chevron up icon
Working with Complex State Chevron down icon Chevron up icon
Building Custom React Hooks Chevron down icon Chevron up icon
Multipage Apps with React Router Chevron down icon Chevron up icon
Managing Data with React Router Chevron down icon Chevron up icon
Server-side Rendering & Building Fullstack Apps with Next.js Chevron down icon Chevron up icon
React Server Components & Server Actions Chevron down icon Chevron up icon
Understanding React Suspense & The use() Hook Chevron down icon Chevron up icon
Next Steps and Further Resources Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Building LLM Powered  Applications
Building LLM Powered Applications
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2
By Valentina Alto
May 2024 | 342 pages
Icon Embed LLMs into real-world applications
Icon Use LangChain to orchestrate LLMs and their components within applications
Icon Grasp basic and advanced techniques of prompt engineering
Introduction to Large Language Models Chevron down icon Chevron up icon
LLMs for AI-Powered Applications Chevron down icon Chevron up icon
Choosing an LLM for Your Application Chevron down icon Chevron up icon
Prompt Engineering Chevron down icon Chevron up icon
Embedding LLMs within Your Applications Chevron down icon Chevron up icon
Building Conversational Applications Chevron down icon Chevron up icon
Search and Recommendation Engines with LLMs Chevron down icon Chevron up icon
Using LLMs with Structured Data Chevron down icon Chevron up icon
Working with Code Chevron down icon Chevron up icon
Building Multimodal Applications with LLMs Chevron down icon Chevron up icon
Fine-Tuning Large Language Models Chevron down icon Chevron up icon
Responsible AI Chevron down icon Chevron up icon
Emerging Trends and Innovations Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Solutions Architect's Handbook
Solutions Architect's Handbook
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
By Saurabh Shrivastava
March 2024 | 578 pages
Icon Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS
Icon Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google
Icon A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS
Solutions Architects in Organizations Chevron down icon Chevron up icon
Principles of Solution Architecture Design Chevron down icon Chevron up icon
Cloud Migration and Cloud Architecture Design Chevron down icon Chevron up icon
Solution Architecture Design Patterns Chevron down icon Chevron up icon
Cloud-Native Architecture Design Patterns Chevron down icon Chevron up icon
Performance Considerations Chevron down icon Chevron up icon
Security Considerations Chevron down icon Chevron up icon
Architectural Reliability Considerations Chevron down icon Chevron up icon
Operational Excellence Considerations Chevron down icon Chevron up icon
Cost Considerations Chevron down icon Chevron up icon
DevOps and Solution Architecture Framework Chevron down icon Chevron up icon
Data Engineering for Solution Architecture Chevron down icon Chevron up icon
Machine Learning Architecture Chevron down icon Chevron up icon
Generative AI Architecture Chevron down icon Chevron up icon
Rearchitecting Legacy Systems Chevron down icon Chevron up icon
Solution Architecture Document Chevron down icon Chevron up icon
Learning Soft Skills to Become a Better Solutions Architect Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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C++ Memory Management
C++ Memory Management
By Patrice Roy
March 2025 | 434 pages
Icon Use contemporary C++ features to enhance code safety and reliability
Icon Develop a deeper understanding of memory management mechanisms in C++
Icon Write programs that adapt to the constraints of your chosen architecture or platform
Icon Purchase of the print or Kindle book includes a free PDF eBook
Part 1: Memory in C++ Chevron down icon Chevron up icon
Chapter 1: Objects, Pointers, and References Chevron down icon Chevron up icon
Chapter 2: Things to Be Careful With Chevron down icon Chevron up icon
Chapter 3: Casts and cv-qualifications Chevron down icon Chevron up icon
Part 2: Implicit Memory Management Techniques Chevron down icon Chevron up icon
Chapter 4: Using Destructors Chevron down icon Chevron up icon
Chapter 5: Using Standard Smart Pointers Chevron down icon Chevron up icon
Chapter 6: Writing Smart Pointers Chevron down icon Chevron up icon
Part 3: Taking Control (of Memory Management Mechanisms) Chevron down icon Chevron up icon
Chapter 7: Overloading Memory Allocation Operators Chevron down icon Chevron up icon
Chapter 8: Writing a Naïve Leak Detector Chevron down icon Chevron up icon
Chapter 9: Atypical Allocation Mechanisms Chevron down icon Chevron up icon
Chapter 10: Arena-Based Memory Management and Other Optimizations Chevron down icon Chevron up icon
Chapter 11: Deferred Reclamation Chevron down icon Chevron up icon
Part 4: Writing Generic Containers (and a Bit More) Chevron down icon Chevron up icon
Chapter 12: Writing Generic Containers with Explicit Memory Management Chevron down icon Chevron up icon
Chapter 13: Writing Generic Containers with Implicit Memory Management Chevron down icon Chevron up icon
Chapter 14: Writing Generic Containers with Allocator Support Chevron down icon Chevron up icon
Chapter 15: Contemporary Issues Chevron down icon Chevron up icon
Annexure: Things You Should Know Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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