A curated collection of publicly available books, guides, and resources about Artificial Intelligence, Machine Learning, and AI implementation in enterprise environments.
This repository contains a comprehensive collection of AI-related books and guides that are freely available to the public. Whether you're a beginner looking to understand AI fundamentals, a developer wanting to build AI agents, or an enterprise leader exploring AI implementation strategies, you'll find valuable resources here.
File: 22365_3_Prompt Engineering_v7.pdf
A comprehensive guide to prompt engineering techniques and best practices. Learn how to craft effective prompts to get better results from AI language models, covering advanced strategies and real-world applications.
File: Agents_Companion_v2.pdf
An in-depth companion guide to understanding and working with AI agents. Covers the fundamentals of agent-based systems, their architecture, and practical implementation considerations.
File: Building Effective AI Agents _ Anthropic.pdf
Anthropic's official guide on building effective AI agents. Provides insights into best practices, safety considerations, and practical approaches to developing robust AI agent systems.
File: identifying-and-scaling-ai-use-cases.pdf
A strategic guide for organizations looking to identify viable AI use cases and scale them effectively. Covers methodology for AI project selection, implementation strategies, and scaling considerations.
File: gemini-for-google-workspace-prompting-guide-101.pdf
A beginner-friendly guide to using Google's Gemini AI within Google Workspace. Learn how to leverage AI for productivity, document creation, data analysis, and workflow optimization.
File: a-practical-guide-to-building-agents.pdf
Hands-on guide for developers and engineers on building AI agents from scratch. Includes practical examples, code snippets, and step-by-step instructions for agent development.
File: ai-in-the-enterprise.pdf
Comprehensive resource for enterprise leaders and decision-makers on implementing AI solutions at scale. Covers strategy, governance, risk management, and organizational transformation.
For more AI learning resources, consider exploring:
- Papers With Code - Latest AI research papers
- Coursera AI Courses - Structured learning paths
- Hugging Face - AI models and datasets
- OpenAI Documentation - OpenAI API guides and best practices
- Anthropic Documentation - Anthropic API guides
- Google AI Studio Build with Gemini
- GenerativeAI For Beginners - Structured learning path
Happy Learning! 🎓