🚀 Awesome Learning Resources

A curated collection of high-quality books, guides, roadmaps, and learning material for serious developers.

⭐ Star the repository to follow the journey • 🤝 Contribute to help build it better

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Repository Structure

• ai-ml/: Artificial intelligence, machine learning, and foundation model applications.
• devops/: DevOps, observability, and production operations material.
• dsa/: Data structures, algorithms, and competitive programming resources.
• others/: Mixed practical books and developer-focused reading.
• quantum-computing/: Quantum computing learning track and core books.
• system-design/: System design, software engineering, and architecture references.

Reading Guides

• AI/ML books: Foundation models, machine learning systems, deep learning theory, and MLOps.
• DevOps books: Production-ready engineering, observability, and operational habits.
• DSA books
• Other books: CTO thinking, Java data structures, and interpreter building.
• Quantum computing books
• System design books

Contributing

For contributions (code, tutorials, books, or resources), see CONTRIBUTING.md.