This repository curates a comprehensive collection of resources for machine learning, deep learning, and agentic AI, targeting students, researchers, and practitioners. It provides a structured pathway for learning through categorized links to courses, books, and research papers, aiming to consolidate essential educational materials in one accessible location.

How It Works

The project functions as a curated index of learning materials, organized into three primary categories: Courses, Books, and Agentic AI resources. Each category is further subdivided by topic (e.g., Machine Learning, Deep Learning, NLP, LLM Applications). Resources are presented with their respective institutions, authors/lecturers, and direct links to platforms like Coursera, YouTube, official homepages, or PDF downloads, facilitating a guided learning journey.

Quick Start & Requirements

This repository is a collection of links to external educational resources, not a software project to be installed or run. The primary "entry point" is the repository itself, which serves as a directory. Users are expected to follow the provided links to access the actual learning materials, which may have their own specific requirements (e.g., platform accounts, software dependencies for practical exercises).

Highlighted Details

• Extensive coverage across core ML/AI domains including Machine Learning, Deep Learning, Computer Vision, NLP, and Reinforcement Learning.
• Features resources from prominent institutions like Stanford, Coursera, MIT, NYU, and industry leaders such as Google, Facebook AI, and Anthropic.
• Includes a dedicated section for Agentic AI, covering LLM applications, multi-agent systems, and prompt engineering with links to courses, papers, and blogs.
• Provides direct links to numerous academic papers (e.g., ReAct, Toolformer) and foundational textbooks, some with direct PDF access.

Maintenance & Community

No specific information regarding maintainers, community channels (like Discord/Slack), or active development is present in the provided README. The repository appears to be a static compilation of resources.

Licensing & Compatibility

The repository explicitly states that all resources are for "educational purpose" only and prohibits any "commercial purpose." It also notes a willingness to remove content if proprietary rights are violated. This non-commercial restriction is a significant caveat for any potential use.

Limitations & Caveats

The primary limitation is the strict non-commercial usage policy for all listed resources, which may restrict adoption for professional or commercial training initiatives. The repository does not host the content itself, relying entirely on external links, meaning resource availability is subject to the original providers. There is also a disclaimer regarding potential intellectual property violations, indicating a need for users to exercise caution and due diligence.